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	<id>http://hlt.suda.edu.cn/index.php?action=history&amp;feed=atom&amp;title=LA-paper-report-talk-etc</id>
	<title>LA-paper-report-talk-etc - 版本历史</title>
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	<updated>2026-09-21T03:45:51Z</updated>
	<subtitle>本wiki的该页面的版本历史</subtitle>
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	<entry>
		<id>http://hlt.suda.edu.cn/index.php?title=LA-paper-report-talk-etc&amp;diff=6169&amp;oldid=prev</id>
		<title>Zhli：/* Talks（报告） */</title>
		<link rel="alternate" type="text/html" href="http://hlt.suda.edu.cn/index.php?title=LA-paper-report-talk-etc&amp;diff=6169&amp;oldid=prev"/>
		<updated>2026-01-26T07:39:32Z</updated>

		<summary type="html">&lt;p&gt;&lt;span dir=&quot;auto&quot;&gt;&lt;span class=&quot;autocomment&quot;&gt;Talks（报告）&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;
&lt;table class=&quot;diff diff-contentalign-left diff-editfont-monospace&quot; data-mw=&quot;interface&quot;&gt;
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				&lt;td colspan=&quot;2&quot; style=&quot;background-color: #fff; color: #202122; text-align: center;&quot;&gt;←上一版本&lt;/td&gt;
				&lt;td colspan=&quot;2&quot; style=&quot;background-color: #fff; color: #202122; text-align: center;&quot;&gt;2026年1月26日 (一) 07:39的版本&lt;/td&gt;
				&lt;/tr&gt;&lt;tr&gt;&lt;td colspan=&quot;2&quot; class=&quot;diff-lineno&quot; id=&quot;mw-diff-left-l16&quot; &gt;第16行：&lt;/td&gt;
&lt;td colspan=&quot;2&quot; class=&quot;diff-lineno&quot;&gt;第16行：&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt; &lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* '''视频尽可能都放在了哔哩哔哩上了（搜用户名：LAGroup）'''&lt;/div&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt; &lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* '''视频尽可能都放在了哔哩哔哩上了（搜用户名：LAGroup）'''&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt; &lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* 2024年11月24日受南师大李斌老师邀请做报告（大模型时代如何做研究：一些思考）【文本纠错任务上的大模型相关工作，作为例子】&lt;/div&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt; &lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* 2024年11月24日受南师大李斌老师邀请做报告（大模型时代如何做研究：一些思考）【文本纠错任务上的大模型相关工作，作为例子】&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td colspan=&quot;2&quot;&gt; &lt;/td&gt;&lt;td class='diff-marker'&gt;+&lt;/td&gt;&lt;td style=&quot;color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;&lt;ins style=&quot;font-weight: bold; text-decoration: none;&quot;&gt;* 2024年2月1日受邀参加2024阿里云高校前沿技术论坛（大模型时代下文本校对研究的尝试和构想）【小而美的研究工作】&lt;/ins&gt;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt; &lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* 2023年4月8日受北语杨天麟老师邀请做报告（大模型时代句法语义研究何去何从）&lt;/div&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt; &lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* 2023年4月8日受北语杨天麟老师邀请做报告（大模型时代句法语义研究何去何从）&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt; &lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* 2022年11月29日受复旦邱锡鹏老师邀请做报告（基于适配句法知识的文本纠错）&lt;/div&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt; &lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* 2022年11月29日受复旦邱锡鹏老师邀请做报告（基于适配句法知识的文本纠错）&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;/table&gt;</summary>
		<author><name>Zhli</name></author>
	</entry>
	<entry>
		<id>http://hlt.suda.edu.cn/index.php?title=LA-paper-report-talk-etc&amp;diff=6168&amp;oldid=prev</id>
		<title>Zhli：/* Talks（报告） */</title>
		<link rel="alternate" type="text/html" href="http://hlt.suda.edu.cn/index.php?title=LA-paper-report-talk-etc&amp;diff=6168&amp;oldid=prev"/>
		<updated>2026-01-26T06:50:26Z</updated>

		<summary type="html">&lt;p&gt;&lt;span dir=&quot;auto&quot;&gt;&lt;span class=&quot;autocomment&quot;&gt;Talks（报告）&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;
&lt;table class=&quot;diff diff-contentalign-left diff-editfont-monospace&quot; data-mw=&quot;interface&quot;&gt;
				&lt;col class=&quot;diff-marker&quot; /&gt;
				&lt;col class=&quot;diff-content&quot; /&gt;
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				&lt;tr class=&quot;diff-title&quot; lang=&quot;zh-Hans-CN&quot;&gt;
				&lt;td colspan=&quot;2&quot; style=&quot;background-color: #fff; color: #202122; text-align: center;&quot;&gt;←上一版本&lt;/td&gt;
				&lt;td colspan=&quot;2&quot; style=&quot;background-color: #fff; color: #202122; text-align: center;&quot;&gt;2026年1月26日 (一) 06:50的版本&lt;/td&gt;
				&lt;/tr&gt;&lt;tr&gt;&lt;td colspan=&quot;2&quot; class=&quot;diff-lineno&quot; id=&quot;mw-diff-left-l18&quot; &gt;第18行：&lt;/td&gt;
&lt;td colspan=&quot;2&quot; class=&quot;diff-lineno&quot;&gt;第18行：&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt; &lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* 2023年4月8日受北语杨天麟老师邀请做报告（大模型时代句法语义研究何去何从）&lt;/div&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt; &lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* 2023年4月8日受北语杨天麟老师邀请做报告（大模型时代句法语义研究何去何从）&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt; &lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* 2022年11月29日受复旦邱锡鹏老师邀请做报告（基于适配句法知识的文本纠错）&lt;/div&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt; &lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* 2022年11月29日受复旦邱锡鹏老师邀请做报告（基于适配句法知识的文本纠错）&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;−&lt;/td&gt;&lt;td style=&quot;color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* 2022年11月11日受邀对COLING-2022 Best &lt;del class=&quot;diffchange diffchange-inline&quot;&gt;Paper做英文报告&lt;/del&gt;&lt;/div&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt;+&lt;/td&gt;&lt;td style=&quot;color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* 2022年11月11日受邀对COLING-2022 Best &lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;Paper做英文报告【按邀请顺序：新加坡国立大学、新加坡设计与技术大学、南京大学】&lt;/ins&gt;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt; &lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* 2022年8月27日，受邀在江苏省人工智能大会上做报告（汉语文本纠错近年进展：数据集和模型）&lt;/div&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt; &lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* 2022年8月27日，受邀在江苏省人工智能大会上做报告（汉语文本纠错近年进展：数据集和模型）&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt; &lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt; &lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;/table&gt;</summary>
		<author><name>Zhli</name></author>
	</entry>
	<entry>
		<id>http://hlt.suda.edu.cn/index.php?title=LA-paper-report-talk-etc&amp;diff=6167&amp;oldid=prev</id>
		<title>Zhli：/* Talks（报告） */</title>
		<link rel="alternate" type="text/html" href="http://hlt.suda.edu.cn/index.php?title=LA-paper-report-talk-etc&amp;diff=6167&amp;oldid=prev"/>
		<updated>2026-01-26T06:47:37Z</updated>

		<summary type="html">&lt;p&gt;&lt;span dir=&quot;auto&quot;&gt;&lt;span class=&quot;autocomment&quot;&gt;Talks（报告）&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;
&lt;table class=&quot;diff diff-contentalign-left diff-editfont-monospace&quot; data-mw=&quot;interface&quot;&gt;
				&lt;col class=&quot;diff-marker&quot; /&gt;
				&lt;col class=&quot;diff-content&quot; /&gt;
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				&lt;td colspan=&quot;2&quot; style=&quot;background-color: #fff; color: #202122; text-align: center;&quot;&gt;←上一版本&lt;/td&gt;
				&lt;td colspan=&quot;2&quot; style=&quot;background-color: #fff; color: #202122; text-align: center;&quot;&gt;2026年1月26日 (一) 06:47的版本&lt;/td&gt;
				&lt;/tr&gt;&lt;tr&gt;&lt;td colspan=&quot;2&quot; class=&quot;diff-lineno&quot; id=&quot;mw-diff-left-l15&quot; &gt;第15行：&lt;/td&gt;
&lt;td colspan=&quot;2&quot; class=&quot;diff-lineno&quot;&gt;第15行：&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt; &lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt; &lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt; &lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* '''视频尽可能都放在了哔哩哔哩上了（搜用户名：LAGroup）'''&lt;/div&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt; &lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* '''视频尽可能都放在了哔哩哔哩上了（搜用户名：LAGroup）'''&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;−&lt;/td&gt;&lt;td style=&quot;color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* &lt;del class=&quot;diffchange diffchange-inline&quot;&gt;李正华2025年4月19日受邀做报告：句法分析研究进展和思考&lt;/del&gt;&lt;/div&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt;+&lt;/td&gt;&lt;td style=&quot;color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* &lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;2024年11月24日受南师大李斌老师邀请做报告（大模型时代如何做研究：一些思考）【文本纠错任务上的大模型相关工作，作为例子】&lt;/ins&gt;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;−&lt;/td&gt;&lt;td style=&quot;color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* &lt;del class=&quot;diffchange diffchange-inline&quot;&gt;李正华2024年11月24日受南师大李斌老师邀请做报告：大模型时代如何做研究：一些思考（文本纠错任务上的大模型相关工作，作为例子）&lt;/del&gt;&lt;/div&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt;+&lt;/td&gt;&lt;td style=&quot;color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* &lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;2023年4月8日受北语杨天麟老师邀请做报告（大模型时代句法语义研究何去何从）&lt;/ins&gt;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;−&lt;/td&gt;&lt;td style=&quot;color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* &lt;del class=&quot;diffchange diffchange-inline&quot;&gt;李正华2023年4月8日受北语杨天麟老师邀请做报告：大模型时代句法语义研究何去何从&lt;/del&gt;&lt;/div&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt;+&lt;/td&gt;&lt;td style=&quot;color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* &lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;2022年11月29日受复旦邱锡鹏老师邀请做报告（基于适配句法知识的文本纠错）&lt;/ins&gt;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;−&lt;/td&gt;&lt;td style=&quot;color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* &lt;del class=&quot;diffchange diffchange-inline&quot;&gt;李正华2022年11月29日受复旦邱锡鹏老师邀请做报告：基于适配句法知识的文本纠错&lt;/del&gt;&lt;/div&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt;+&lt;/td&gt;&lt;td style=&quot;color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* &lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;2022年11月11日受邀对COLING-2022 &lt;/ins&gt;Best Paper做英文报告&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;−&lt;/td&gt;&lt;td style=&quot;color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;&lt;del class=&quot;diffchange diffchange-inline&quot;&gt;* 李正华2022年11月11日受邀对COLING2022 &lt;/del&gt;Best Paper做英文报告&lt;/div&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt;+&lt;/td&gt;&lt;td style=&quot;color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* &lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;2022年8月27日，受邀在江苏省人工智能大会上做报告（汉语文本纠错近年进展：数据集和模型）&lt;/ins&gt;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;−&lt;/td&gt;&lt;td style=&quot;color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* &lt;del class=&quot;diffchange diffchange-inline&quot;&gt;2022.8.27：江苏省人工智能大会（报告题目：汉语文本纠错近年进展：数据集和模型）&lt;/del&gt;&lt;/div&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt;+&lt;/td&gt;&lt;td style=&quot;color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt; &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt; &lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* 2021.7.27：《数据标注师资培训》(哈工大大数据集团)&lt;/div&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt; &lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* 2021.7.27：《数据标注师资培训》(哈工大大数据集团)&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt; &lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;** [http://hlt.suda.edu.cn/LA/videos/2021-07-26-1+X数据标注师资培训.mp4 培训视频] [https://mp.weixin.qq.com/s/T2HS90jrHs-ly8aCbwj-Eg 数据标注师资培训介绍]&lt;/div&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt; &lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;** [http://hlt.suda.edu.cn/LA/videos/2021-07-26-1+X数据标注师资培训.mp4 培训视频] [https://mp.weixin.qq.com/s/T2HS90jrHs-ly8aCbwj-Eg 数据标注师资培训介绍]&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;/table&gt;</summary>
		<author><name>Zhli</name></author>
	</entry>
	<entry>
		<id>http://hlt.suda.edu.cn/index.php?title=LA-paper-report-talk-etc&amp;diff=6068&amp;oldid=prev</id>
		<title>Zhli：/* Papers in English */</title>
		<link rel="alternate" type="text/html" href="http://hlt.suda.edu.cn/index.php?title=LA-paper-report-talk-etc&amp;diff=6068&amp;oldid=prev"/>
		<updated>2025-11-07T01:18:30Z</updated>

		<summary type="html">&lt;p&gt;&lt;span dir=&quot;auto&quot;&gt;&lt;span class=&quot;autocomment&quot;&gt;Papers in English&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;
&lt;table class=&quot;diff diff-contentalign-left diff-editfont-monospace&quot; data-mw=&quot;interface&quot;&gt;
				&lt;col class=&quot;diff-marker&quot; /&gt;
				&lt;col class=&quot;diff-content&quot; /&gt;
				&lt;col class=&quot;diff-marker&quot; /&gt;
				&lt;col class=&quot;diff-content&quot; /&gt;
				&lt;tr class=&quot;diff-title&quot; lang=&quot;zh-Hans-CN&quot;&gt;
				&lt;td colspan=&quot;2&quot; style=&quot;background-color: #fff; color: #202122; text-align: center;&quot;&gt;←上一版本&lt;/td&gt;
				&lt;td colspan=&quot;2&quot; style=&quot;background-color: #fff; color: #202122; text-align: center;&quot;&gt;2025年11月7日 (五) 01:18的版本&lt;/td&gt;
				&lt;/tr&gt;&lt;tr&gt;&lt;td colspan=&quot;2&quot; class=&quot;diff-lineno&quot; id=&quot;mw-diff-left-l108&quot; &gt;第108行：&lt;/td&gt;
&lt;td colspan=&quot;2&quot; class=&quot;diff-lineno&quot;&gt;第108行：&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt; &lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* Yanggan Gu, Junzhuo Li, Sirui Huang, Xin Zou, Zhenghua Li*, Xuming Hu*. Capturing Nuanced Preferences: Preference-Aligned Distillation for Small Language Models. In Findings of ACL 2025, pages 15959–15973, Vienna, Austria. [https://aclanthology.org/2025.findings-acl.822.pdf acl-anthology]&lt;/div&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt; &lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* Yanggan Gu, Junzhuo Li, Sirui Huang, Xin Zou, Zhenghua Li*, Xuming Hu*. Capturing Nuanced Preferences: Preference-Aligned Distillation for Small Language Models. In Findings of ACL 2025, pages 15959–15973, Vienna, Austria. [https://aclanthology.org/2025.findings-acl.822.pdf acl-anthology]&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt; &lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt; &lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td colspan=&quot;2&quot;&gt; &lt;/td&gt;&lt;td class='diff-marker'&gt;+&lt;/td&gt;&lt;td style=&quot;color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;&lt;ins style=&quot;font-weight: bold; text-decoration: none;&quot;&gt;* Xuebin Wang, Lei Zhang, Zhenghua Li*, Shilin Zhou, Chen Gong, Yang Hou. Mining Word Boundaries from Speech-Text Parallel Data for Cross-domain Chinese Word Segmentation. [https://arxiv.org/abs/2412.09045 Arxiv]. COLING. January 19–24, 2025. Abu Dhabi, UAE. pages 1247–1257&lt;/ins&gt;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt; &lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* Ziyan Zhang, Yang Hou, Chen Gong*, Zhenghua Li. Data Augmentation for Cross-domain Parsing via Lightweight LLM Generation and Tree Hybridization. [[文件:Data_Augmentation_for_Cross-domain_Parsing_via_Lightweight_LLM_Generation_and_Tree_Hybridization.pdf]]. COLING. 19 January, 2025. Abu Dhabi, UAE.&lt;/div&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt; &lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* Ziyan Zhang, Yang Hou, Chen Gong*, Zhenghua Li. Data Augmentation for Cross-domain Parsing via Lightweight LLM Generation and Tree Hybridization. [[文件:Data_Augmentation_for_Cross-domain_Parsing_via_Lightweight_LLM_Generation_and_Tree_Hybridization.pdf]]. COLING. 19 January, 2025. Abu Dhabi, UAE.&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;−&lt;/td&gt;&lt;td style=&quot;color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;&lt;del style=&quot;font-weight: bold; text-decoration: none;&quot;&gt;* Xuebin Wang, Lei Zhang, Zhenghua Li*, Shilin Zhou, Chen Gong, Yang Hou. Mining Word Boundaries from Speech-Text Parallel Data for Cross-domain Chinese Word Segmentation. [https://arxiv.org/abs/2412.09045 Arxiv]. COLING. 19 January, 2025. Abu Dhabi, UAE. &lt;/del&gt;&lt;/div&gt;&lt;/td&gt;&lt;td colspan=&quot;2&quot;&gt; &lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt; &lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* Xi Ma, Yang Hou, Xuebin Wang, Zhenghua Li. A Probabilistic Toolkit for Multi-grained Word Segmentation in Chinese. [[文件:A_Probabilistic_Toolkit_for_Multi-grained_Word_Segmentation_in_Chinese.pdf]]. COLING Demonstration (demo paper). 19 January, 2025. Abu Dhabi, UAE.&lt;/div&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt; &lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* Xi Ma, Yang Hou, Xuebin Wang, Zhenghua Li. A Probabilistic Toolkit for Multi-grained Word Segmentation in Chinese. [[文件:A_Probabilistic_Toolkit_for_Multi-grained_Word_Segmentation_in_Chinese.pdf]]. COLING Demonstration (demo paper). 19 January, 2025. Abu Dhabi, UAE.&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt; &lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt; &lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;/table&gt;</summary>
		<author><name>Zhli</name></author>
	</entry>
	<entry>
		<id>http://hlt.suda.edu.cn/index.php?title=LA-paper-report-talk-etc&amp;diff=6067&amp;oldid=prev</id>
		<title>Zhli：/* Papers in English */</title>
		<link rel="alternate" type="text/html" href="http://hlt.suda.edu.cn/index.php?title=LA-paper-report-talk-etc&amp;diff=6067&amp;oldid=prev"/>
		<updated>2025-11-07T01:06:28Z</updated>

		<summary type="html">&lt;p&gt;&lt;span dir=&quot;auto&quot;&gt;&lt;span class=&quot;autocomment&quot;&gt;Papers in English&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;
&lt;table class=&quot;diff diff-contentalign-left diff-editfont-monospace&quot; data-mw=&quot;interface&quot;&gt;
				&lt;col class=&quot;diff-marker&quot; /&gt;
				&lt;col class=&quot;diff-content&quot; /&gt;
				&lt;col class=&quot;diff-marker&quot; /&gt;
				&lt;col class=&quot;diff-content&quot; /&gt;
				&lt;tr class=&quot;diff-title&quot; lang=&quot;zh-Hans-CN&quot;&gt;
				&lt;td colspan=&quot;2&quot; style=&quot;background-color: #fff; color: #202122; text-align: center;&quot;&gt;←上一版本&lt;/td&gt;
				&lt;td colspan=&quot;2&quot; style=&quot;background-color: #fff; color: #202122; text-align: center;&quot;&gt;2025年11月7日 (五) 01:06的版本&lt;/td&gt;
				&lt;/tr&gt;&lt;tr&gt;&lt;td colspan=&quot;2&quot; class=&quot;diff-lineno&quot; id=&quot;mw-diff-left-l101&quot; &gt;第101行：&lt;/td&gt;
&lt;td colspan=&quot;2&quot; class=&quot;diff-lineno&quot;&gt;第101行：&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt; &lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* Ziyan Zhang, Yang Hou, Chen Gong*, Zhenghua Li. Self-Correction Makes LLMs Better Parsers. In Findings of EMNLP 2025, Suzhou, China. [https://arxiv.org/abs/2504.14165 Arxiv].&lt;/div&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt; &lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* Ziyan Zhang, Yang Hou, Chen Gong*, Zhenghua Li. Self-Correction Makes LLMs Better Parsers. In Findings of EMNLP 2025, Suzhou, China. [https://arxiv.org/abs/2504.14165 Arxiv].&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt; &lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt; &lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;−&lt;/td&gt;&lt;td style=&quot;color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* Houquan Zhou, Bo Zhang, Zhenghua Li, Ming Yan, and Min Zhang. 2025. A Training-free LLM-based Approach to General Chinese Character Error Correction. In Proceedings of ACL, pages 13827–13852, Vienna, Austria. Association for Computational Linguistics. [https://aclanthology.org/2025.acl-long.678.pdf official] July 27 - August 1&lt;/div&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt;+&lt;/td&gt;&lt;td style=&quot;color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* Houquan Zhou, Bo Zhang, Zhenghua Li&lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;*&lt;/ins&gt;, Ming Yan, and Min Zhang. 2025. A Training-free LLM-based Approach to General Chinese Character Error Correction. In Proceedings of ACL, pages 13827–13852, Vienna, Austria. Association for Computational Linguistics. [https://aclanthology.org/2025.acl-long.678.pdf official] July 27 - August 1&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt; &lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* Ziheng Qiao, Houquan Zhou, Zhenghua Li*. Mixture of Small and Large Models for Chinese Spelling Check. ACL, pages 28298–28311, Vienna, Austria. [https://aclanthology.org/2025.acl-long.1372.pdf acl-anthology]&lt;/div&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt; &lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* Ziheng Qiao, Houquan Zhou, Zhenghua Li*. Mixture of Small and Large Models for Chinese Spelling Check. ACL, pages 28298–28311, Vienna, Austria. [https://aclanthology.org/2025.acl-long.1372.pdf acl-anthology]&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt; &lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* Ziheng Qiao, Houquan Zhou, Yumeng Liu, Zhenghua Li*, Min Zhang, Bo Zhang, Chen Li, Ji Zhang, Fei Huang. DISC: Plug-and-Play Decoding Intervention with Similarity of Characters for Chinese Spelling Check. ACL, pages 28312–28324, Vienna, Austria. [https://aclanthology.org/2025.acl-long.1373.pdf acl-anthology]&lt;/div&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt; &lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* Ziheng Qiao, Houquan Zhou, Yumeng Liu, Zhenghua Li*, Min Zhang, Bo Zhang, Chen Li, Ji Zhang, Fei Huang. DISC: Plug-and-Play Decoding Intervention with Similarity of Characters for Chinese Spelling Check. ACL, pages 28312–28324, Vienna, Austria. [https://aclanthology.org/2025.acl-long.1373.pdf acl-anthology]&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;/table&gt;</summary>
		<author><name>Zhli</name></author>
	</entry>
	<entry>
		<id>http://hlt.suda.edu.cn/index.php?title=LA-paper-report-talk-etc&amp;diff=6066&amp;oldid=prev</id>
		<title>Zhli：/* Papers in English */</title>
		<link rel="alternate" type="text/html" href="http://hlt.suda.edu.cn/index.php?title=LA-paper-report-talk-etc&amp;diff=6066&amp;oldid=prev"/>
		<updated>2025-11-07T01:02:54Z</updated>

		<summary type="html">&lt;p&gt;&lt;span dir=&quot;auto&quot;&gt;&lt;span class=&quot;autocomment&quot;&gt;Papers in English&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;
&lt;table class=&quot;diff diff-contentalign-left diff-editfont-monospace&quot; data-mw=&quot;interface&quot;&gt;
				&lt;col class=&quot;diff-marker&quot; /&gt;
				&lt;col class=&quot;diff-content&quot; /&gt;
				&lt;col class=&quot;diff-marker&quot; /&gt;
				&lt;col class=&quot;diff-content&quot; /&gt;
				&lt;tr class=&quot;diff-title&quot; lang=&quot;zh-Hans-CN&quot;&gt;
				&lt;td colspan=&quot;2&quot; style=&quot;background-color: #fff; color: #202122; text-align: center;&quot;&gt;←上一版本&lt;/td&gt;
				&lt;td colspan=&quot;2&quot; style=&quot;background-color: #fff; color: #202122; text-align: center;&quot;&gt;2025年11月7日 (五) 01:02的版本&lt;/td&gt;
				&lt;/tr&gt;&lt;tr&gt;&lt;td colspan=&quot;2&quot; class=&quot;diff-lineno&quot; id=&quot;mw-diff-left-l101&quot; &gt;第101行：&lt;/td&gt;
&lt;td colspan=&quot;2&quot; class=&quot;diff-lineno&quot;&gt;第101行：&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt; &lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* Ziyan Zhang, Yang Hou, Chen Gong*, Zhenghua Li. Self-Correction Makes LLMs Better Parsers. In Findings of EMNLP 2025, Suzhou, China. [https://arxiv.org/abs/2504.14165 Arxiv].&lt;/div&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt; &lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* Ziyan Zhang, Yang Hou, Chen Gong*, Zhenghua Li. Self-Correction Makes LLMs Better Parsers. In Findings of EMNLP 2025, Suzhou, China. [https://arxiv.org/abs/2504.14165 Arxiv].&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt; &lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt; &lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;−&lt;/td&gt;&lt;td style=&quot;color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* Houquan Zhou, Bo Zhang, Zhenghua Li, Ming Yan, and Min Zhang. 2025. A Training-free LLM-based Approach to General Chinese Character Error Correction. In Proceedings of ACL, pages 13827–13852, Vienna, Austria. Association for Computational Linguistics. [https://aclanthology.org/2025.acl-long.678.pdf official]&lt;/div&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt;+&lt;/td&gt;&lt;td style=&quot;color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* Houquan Zhou, Bo Zhang, Zhenghua Li, Ming Yan, and Min Zhang. 2025. A Training-free LLM-based Approach to General Chinese Character Error Correction. In Proceedings of ACL, pages 13827–13852, Vienna, Austria. Association for Computational Linguistics. [https://aclanthology.org/2025.acl-long.678.pdf official] &lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;July 27 - August 1&lt;/ins&gt;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt; &lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* Ziheng Qiao, Houquan Zhou, Zhenghua Li*. Mixture of Small and Large Models for Chinese Spelling Check. ACL, pages 28298–28311, Vienna, Austria. [https://aclanthology.org/2025.acl-long.1372.pdf acl-anthology]&lt;/div&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt; &lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* Ziheng Qiao, Houquan Zhou, Zhenghua Li*. Mixture of Small and Large Models for Chinese Spelling Check. ACL, pages 28298–28311, Vienna, Austria. [https://aclanthology.org/2025.acl-long.1372.pdf acl-anthology]&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt; &lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* Ziheng Qiao, Houquan Zhou, Yumeng Liu, Zhenghua Li*, Min Zhang, Bo Zhang, Chen Li, Ji Zhang, Fei Huang. DISC: Plug-and-Play Decoding Intervention with Similarity of Characters for Chinese Spelling Check. ACL, pages 28312–28324, Vienna, Austria. [https://aclanthology.org/2025.acl-long.1373.pdf acl-anthology]&lt;/div&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt; &lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* Ziheng Qiao, Houquan Zhou, Yumeng Liu, Zhenghua Li*, Min Zhang, Bo Zhang, Chen Li, Ji Zhang, Fei Huang. DISC: Plug-and-Play Decoding Intervention with Similarity of Characters for Chinese Spelling Check. ACL, pages 28312–28324, Vienna, Austria. [https://aclanthology.org/2025.acl-long.1373.pdf acl-anthology]&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;/table&gt;</summary>
		<author><name>Zhli</name></author>
	</entry>
	<entry>
		<id>http://hlt.suda.edu.cn/index.php?title=LA-paper-report-talk-etc&amp;diff=6065&amp;oldid=prev</id>
		<title>Zhli：/* Papers in English */</title>
		<link rel="alternate" type="text/html" href="http://hlt.suda.edu.cn/index.php?title=LA-paper-report-talk-etc&amp;diff=6065&amp;oldid=prev"/>
		<updated>2025-11-07T00:56:20Z</updated>

		<summary type="html">&lt;p&gt;&lt;span dir=&quot;auto&quot;&gt;&lt;span class=&quot;autocomment&quot;&gt;Papers in English&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;
&lt;table class=&quot;diff diff-contentalign-left diff-editfont-monospace&quot; data-mw=&quot;interface&quot;&gt;
				&lt;col class=&quot;diff-marker&quot; /&gt;
				&lt;col class=&quot;diff-content&quot; /&gt;
				&lt;col class=&quot;diff-marker&quot; /&gt;
				&lt;col class=&quot;diff-content&quot; /&gt;
				&lt;tr class=&quot;diff-title&quot; lang=&quot;zh-Hans-CN&quot;&gt;
				&lt;td colspan=&quot;2&quot; style=&quot;background-color: #fff; color: #202122; text-align: center;&quot;&gt;←上一版本&lt;/td&gt;
				&lt;td colspan=&quot;2&quot; style=&quot;background-color: #fff; color: #202122; text-align: center;&quot;&gt;2025年11月7日 (五) 00:56的版本&lt;/td&gt;
				&lt;/tr&gt;&lt;tr&gt;&lt;td colspan=&quot;2&quot; class=&quot;diff-lineno&quot; id=&quot;mw-diff-left-l97&quot; &gt;第97行：&lt;/td&gt;
&lt;td colspan=&quot;2&quot; class=&quot;diff-lineno&quot;&gt;第97行：&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt; &lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;=== Papers in English ===&lt;/div&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt; &lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;=== Papers in English ===&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt; &lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt; &lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;−&lt;/td&gt;&lt;td style=&quot;color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* Yahui Liu, Zhenghua Li, Chen Gong*, Shilin Zhou，Min Zhang. Annotation error detection in painstakingly annotated data: Part-of-speech tagging as a case study. Expert Systems With Applications (ESWA), 2025,290:128374. [https://www.sciencedirect.com/science/article/pii/S0957417425019931 official] [&lt;del class=&quot;diffchange diffchange-inline&quot;&gt;journal&lt;/del&gt;]&lt;/div&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt;+&lt;/td&gt;&lt;td style=&quot;color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* Yahui Liu, Zhenghua Li, Chen Gong*, Shilin Zhou，Min Zhang. Annotation error detection in painstakingly annotated data: Part-of-speech tagging as a case study. Expert Systems With Applications (ESWA), 2025,290:128374. [https://www.sciencedirect.com/science/article/pii/S0957417425019931 official] [&lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;Journal&lt;/ins&gt;]&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt; &lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt; &lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt; &lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* Ziyan Zhang, Yang Hou, Chen Gong*, Zhenghua Li. Self-Correction Makes LLMs Better Parsers. In Findings of EMNLP 2025, Suzhou, China. [https://arxiv.org/abs/2504.14165 Arxiv].&lt;/div&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt; &lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* Ziyan Zhang, Yang Hou, Chen Gong*, Zhenghua Li. Self-Correction Makes LLMs Better Parsers. In Findings of EMNLP 2025, Suzhou, China. [https://arxiv.org/abs/2504.14165 Arxiv].&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td colspan=&quot;2&quot; class=&quot;diff-lineno&quot; id=&quot;mw-diff-left-l106&quot; &gt;第106行：&lt;/td&gt;
&lt;td colspan=&quot;2&quot; class=&quot;diff-lineno&quot;&gt;第106行：&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt; &lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* Yang Hou, Zhenghua Li*. Dynamic Head Selection for Neural Lexicalized Constituency Parsing. In Proceedings of ACL 2025, pages 16141–16155, Vienna, Austria. [https://aclanthology.org/2025.acl-long.786.pdf acl-anthology]&lt;/div&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt; &lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* Yang Hou, Zhenghua Li*. Dynamic Head Selection for Neural Lexicalized Constituency Parsing. In Proceedings of ACL 2025, pages 16141–16155, Vienna, Austria. [https://aclanthology.org/2025.acl-long.786.pdf acl-anthology]&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt; &lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* Yang Hou, Zhenghua Li*. Span-based Semantic Role Labeling as Lexicalized Constituency Tree Parsing. In Findings of ACL 2025, pages 10701–10713, Vienna, Austria. [https://aclanthology.org/2025.findings-acl.557.pdf acl-anthology]&lt;/div&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt; &lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* Yang Hou, Zhenghua Li*. Span-based Semantic Role Labeling as Lexicalized Constituency Tree Parsing. In Findings of ACL 2025, pages 10701–10713, Vienna, Austria. [https://aclanthology.org/2025.findings-acl.557.pdf acl-anthology]&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;−&lt;/td&gt;&lt;td style=&quot;color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* Yanggan Gu, Junzhuo Li, Sirui Huang, Xin Zou, Zhenghua Li, Xuming Hu. Capturing Nuanced Preferences: Preference-Aligned Distillation for Small Language Models. In Findings of ACL 2025, pages &lt;del class=&quot;diffchange diffchange-inline&quot;&gt;10701–10713&lt;/del&gt;, Vienna, Austria. [https://aclanthology.org/2025.findings-acl.&lt;del class=&quot;diffchange diffchange-inline&quot;&gt;557&lt;/del&gt;.pdf acl-anthology]&lt;/div&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt;+&lt;/td&gt;&lt;td style=&quot;color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* Yanggan Gu, Junzhuo Li, Sirui Huang, Xin Zou, Zhenghua Li&lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;*&lt;/ins&gt;, Xuming Hu&lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;*&lt;/ins&gt;. Capturing Nuanced Preferences: Preference-Aligned Distillation for Small Language Models. In Findings of ACL 2025, pages &lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;15959–15973&lt;/ins&gt;, Vienna, Austria. [https://aclanthology.org/2025.findings-acl.&lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;822&lt;/ins&gt;.pdf acl-anthology]&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt; &lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt; &lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt; &lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* Ziyan Zhang, Yang Hou, Chen Gong*, Zhenghua Li. Data Augmentation for Cross-domain Parsing via Lightweight LLM Generation and Tree Hybridization. [[文件:Data_Augmentation_for_Cross-domain_Parsing_via_Lightweight_LLM_Generation_and_Tree_Hybridization.pdf]]. COLING. 19 January, 2025. Abu Dhabi, UAE.&lt;/div&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt; &lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* Ziyan Zhang, Yang Hou, Chen Gong*, Zhenghua Li. Data Augmentation for Cross-domain Parsing via Lightweight LLM Generation and Tree Hybridization. [[文件:Data_Augmentation_for_Cross-domain_Parsing_via_Lightweight_LLM_Generation_and_Tree_Hybridization.pdf]]. COLING. 19 January, 2025. Abu Dhabi, UAE.&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;/table&gt;</summary>
		<author><name>Zhli</name></author>
	</entry>
	<entry>
		<id>http://hlt.suda.edu.cn/index.php?title=LA-paper-report-talk-etc&amp;diff=6064&amp;oldid=prev</id>
		<title>Zhli：/* Conference Papers in English */</title>
		<link rel="alternate" type="text/html" href="http://hlt.suda.edu.cn/index.php?title=LA-paper-report-talk-etc&amp;diff=6064&amp;oldid=prev"/>
		<updated>2025-11-07T00:53:08Z</updated>

		<summary type="html">&lt;p&gt;&lt;span dir=&quot;auto&quot;&gt;&lt;span class=&quot;autocomment&quot;&gt;Conference Papers in English&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;
&lt;table class=&quot;diff diff-contentalign-left diff-editfont-monospace&quot; data-mw=&quot;interface&quot;&gt;
				&lt;col class=&quot;diff-marker&quot; /&gt;
				&lt;col class=&quot;diff-content&quot; /&gt;
				&lt;col class=&quot;diff-marker&quot; /&gt;
				&lt;col class=&quot;diff-content&quot; /&gt;
				&lt;tr class=&quot;diff-title&quot; lang=&quot;zh-Hans-CN&quot;&gt;
				&lt;td colspan=&quot;2&quot; style=&quot;background-color: #fff; color: #202122; text-align: center;&quot;&gt;←上一版本&lt;/td&gt;
				&lt;td colspan=&quot;2&quot; style=&quot;background-color: #fff; color: #202122; text-align: center;&quot;&gt;2025年11月7日 (五) 00:53的版本&lt;/td&gt;
				&lt;/tr&gt;&lt;tr&gt;&lt;td colspan=&quot;2&quot; class=&quot;diff-lineno&quot; id=&quot;mw-diff-left-l95&quot; &gt;第95行：&lt;/td&gt;
&lt;td colspan=&quot;2&quot; class=&quot;diff-lineno&quot;&gt;第95行：&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt; &lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* [期刊发表后更新下] 杨浩苹, 夏庆荣, 李正华*, 王睿. 基于GCN的异构句法驱动汉语语义角色标注. 计算机应用与软件. [2022年录用] [还未正式发表 知网上找不到，期号卷号未知.] '''以后不投这个期刊了'''. [[文件:基于GCN的异构句法驱动汉语语义角色标注.pdf]]&lt;/div&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt; &lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* [期刊发表后更新下] 杨浩苹, 夏庆荣, 李正华*, 王睿. 基于GCN的异构句法驱动汉语语义角色标注. 计算机应用与软件. [2022年录用] [还未正式发表 知网上找不到，期号卷号未知.] '''以后不投这个期刊了'''. [[文件:基于GCN的异构句法驱动汉语语义角色标注.pdf]]&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt; &lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt; &lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;−&lt;/td&gt;&lt;td style=&quot;color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;=== &lt;del class=&quot;diffchange diffchange-inline&quot;&gt;Conference &lt;/del&gt;Papers in English ===&lt;/div&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt;+&lt;/td&gt;&lt;td style=&quot;color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;=== Papers in English ===&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt; &lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt; &lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td colspan=&quot;2&quot;&gt; &lt;/td&gt;&lt;td class='diff-marker'&gt;+&lt;/td&gt;&lt;td style=&quot;color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;&lt;ins style=&quot;font-weight: bold; text-decoration: none;&quot;&gt;* Yahui Liu, Zhenghua Li, Chen Gong*, Shilin Zhou，Min Zhang. Annotation error detection in painstakingly annotated data: Part-of-speech tagging as a case study. Expert Systems With Applications (ESWA), 2025,290:128374. [https://www.sciencedirect.com/science/article/pii/S0957417425019931 official] [journal]&lt;/ins&gt;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt; &lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt; &lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt; &lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* Ziyan Zhang, Yang Hou, Chen Gong*, Zhenghua Li. Self-Correction Makes LLMs Better Parsers. In Findings of EMNLP 2025, Suzhou, China. [https://arxiv.org/abs/2504.14165 Arxiv].&lt;/div&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt; &lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* Ziyan Zhang, Yang Hou, Chen Gong*, Zhenghua Li. Self-Correction Makes LLMs Better Parsers. In Findings of EMNLP 2025, Suzhou, China. [https://arxiv.org/abs/2504.14165 Arxiv].&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;/table&gt;</summary>
		<author><name>Zhli</name></author>
	</entry>
	<entry>
		<id>http://hlt.suda.edu.cn/index.php?title=LA-paper-report-talk-etc&amp;diff=6063&amp;oldid=prev</id>
		<title>Zhli：/* Conference Papers in English */</title>
		<link rel="alternate" type="text/html" href="http://hlt.suda.edu.cn/index.php?title=LA-paper-report-talk-etc&amp;diff=6063&amp;oldid=prev"/>
		<updated>2025-11-07T00:52:44Z</updated>

		<summary type="html">&lt;p&gt;&lt;span dir=&quot;auto&quot;&gt;&lt;span class=&quot;autocomment&quot;&gt;Conference Papers in English&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;
&lt;table class=&quot;diff diff-contentalign-left diff-editfont-monospace&quot; data-mw=&quot;interface&quot;&gt;
				&lt;col class=&quot;diff-marker&quot; /&gt;
				&lt;col class=&quot;diff-content&quot; /&gt;
				&lt;col class=&quot;diff-marker&quot; /&gt;
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				&lt;td colspan=&quot;2&quot; style=&quot;background-color: #fff; color: #202122; text-align: center;&quot;&gt;←上一版本&lt;/td&gt;
				&lt;td colspan=&quot;2&quot; style=&quot;background-color: #fff; color: #202122; text-align: center;&quot;&gt;2025年11月7日 (五) 00:52的版本&lt;/td&gt;
				&lt;/tr&gt;&lt;tr&gt;&lt;td colspan=&quot;2&quot; class=&quot;diff-lineno&quot; id=&quot;mw-diff-left-l97&quot; &gt;第97行：&lt;/td&gt;
&lt;td colspan=&quot;2&quot; class=&quot;diff-lineno&quot;&gt;第97行：&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt; &lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;=== Conference Papers in English ===&lt;/div&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt; &lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;=== Conference Papers in English ===&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt; &lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt; &lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;−&lt;/td&gt;&lt;td style=&quot;color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;&lt;del class=&quot;diffchange diffchange-inline&quot;&gt;* Yahui Liu, Zhenghua Li, Chen Gong*, Shilin Zhou，Min Zhang. Annotation error detection in painstakingly annotated data: Part-of-speech tagging as a case study. Expert Systems With Applications (ESWA), 2025,290:128374. [https://www.sciencedirect.com/science/article/pii/S0957417425019931 official]&lt;/del&gt;&lt;/div&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt;+&lt;/td&gt;&lt;td style=&quot;color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt; &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt; &lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* Ziyan Zhang, Yang Hou, Chen Gong*, Zhenghua Li. Self-Correction Makes LLMs Better Parsers. In Findings of EMNLP 2025, Suzhou, China. [https://arxiv.org/abs/2504.14165 Arxiv].&lt;/div&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt; &lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* Ziyan Zhang, Yang Hou, Chen Gong*, Zhenghua Li. Self-Correction Makes LLMs Better Parsers. In Findings of EMNLP 2025, Suzhou, China. [https://arxiv.org/abs/2504.14165 Arxiv].&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td colspan=&quot;2&quot;&gt; &lt;/td&gt;&lt;td class='diff-marker'&gt;+&lt;/td&gt;&lt;td style=&quot;color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;&lt;ins style=&quot;font-weight: bold; text-decoration: none;&quot;&gt;&lt;/ins&gt;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt; &lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* Houquan Zhou, Bo Zhang, Zhenghua Li, Ming Yan, and Min Zhang. 2025. A Training-free LLM-based Approach to General Chinese Character Error Correction. In Proceedings of ACL, pages 13827–13852, Vienna, Austria. Association for Computational Linguistics. [https://aclanthology.org/2025.acl-long.678.pdf official]&lt;/div&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt; &lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* Houquan Zhou, Bo Zhang, Zhenghua Li, Ming Yan, and Min Zhang. 2025. A Training-free LLM-based Approach to General Chinese Character Error Correction. In Proceedings of ACL, pages 13827–13852, Vienna, Austria. Association for Computational Linguistics. [https://aclanthology.org/2025.acl-long.678.pdf official]&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt; &lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* Ziheng Qiao, Houquan Zhou, Zhenghua Li*. Mixture of Small and Large Models for Chinese Spelling Check. ACL, pages 28298–28311, Vienna, Austria. [https://aclanthology.org/2025.acl-long.1372.pdf acl-anthology]&lt;/div&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt; &lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* Ziheng Qiao, Houquan Zhou, Zhenghua Li*. Mixture of Small and Large Models for Chinese Spelling Check. ACL, pages 28298–28311, Vienna, Austria. [https://aclanthology.org/2025.acl-long.1372.pdf acl-anthology]&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td colspan=&quot;2&quot; class=&quot;diff-lineno&quot; id=&quot;mw-diff-left-l104&quot; &gt;第104行：&lt;/td&gt;
&lt;td colspan=&quot;2&quot; class=&quot;diff-lineno&quot;&gt;第105行：&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt; &lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* Yang Hou, Zhenghua Li*. Dynamic Head Selection for Neural Lexicalized Constituency Parsing. In Proceedings of ACL 2025, pages 16141–16155, Vienna, Austria. [https://aclanthology.org/2025.acl-long.786.pdf acl-anthology]&lt;/div&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt; &lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* Yang Hou, Zhenghua Li*. Dynamic Head Selection for Neural Lexicalized Constituency Parsing. In Proceedings of ACL 2025, pages 16141–16155, Vienna, Austria. [https://aclanthology.org/2025.acl-long.786.pdf acl-anthology]&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt; &lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* Yang Hou, Zhenghua Li*. Span-based Semantic Role Labeling as Lexicalized Constituency Tree Parsing. In Findings of ACL 2025, pages 10701–10713, Vienna, Austria. [https://aclanthology.org/2025.findings-acl.557.pdf acl-anthology]&lt;/div&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt; &lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* Yang Hou, Zhenghua Li*. Span-based Semantic Role Labeling as Lexicalized Constituency Tree Parsing. In Findings of ACL 2025, pages 10701–10713, Vienna, Austria. [https://aclanthology.org/2025.findings-acl.557.pdf acl-anthology]&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td colspan=&quot;2&quot;&gt; &lt;/td&gt;&lt;td class='diff-marker'&gt;+&lt;/td&gt;&lt;td style=&quot;color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;&lt;ins style=&quot;font-weight: bold; text-decoration: none;&quot;&gt;* Yanggan Gu, Junzhuo Li, Sirui Huang, Xin Zou, Zhenghua Li, Xuming Hu. Capturing Nuanced Preferences: Preference-Aligned Distillation for Small Language Models. In Findings of ACL 2025, pages 10701–10713, Vienna, Austria. [https://aclanthology.org/2025.findings-acl.557.pdf acl-anthology]&lt;/ins&gt;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td colspan=&quot;2&quot;&gt; &lt;/td&gt;&lt;td class='diff-marker'&gt;+&lt;/td&gt;&lt;td style=&quot;color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;&lt;ins style=&quot;font-weight: bold; text-decoration: none;&quot;&gt;&lt;/ins&gt;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt; &lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* Ziyan Zhang, Yang Hou, Chen Gong*, Zhenghua Li. Data Augmentation for Cross-domain Parsing via Lightweight LLM Generation and Tree Hybridization. [[文件:Data_Augmentation_for_Cross-domain_Parsing_via_Lightweight_LLM_Generation_and_Tree_Hybridization.pdf]]. COLING. 19 January, 2025. Abu Dhabi, UAE.&lt;/div&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt; &lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* Ziyan Zhang, Yang Hou, Chen Gong*, Zhenghua Li. Data Augmentation for Cross-domain Parsing via Lightweight LLM Generation and Tree Hybridization. [[文件:Data_Augmentation_for_Cross-domain_Parsing_via_Lightweight_LLM_Generation_and_Tree_Hybridization.pdf]]. COLING. 19 January, 2025. Abu Dhabi, UAE.&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt; &lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* Xuebin Wang, Lei Zhang, Zhenghua Li*, Shilin Zhou, Chen Gong, Yang Hou. Mining Word Boundaries from Speech-Text Parallel Data for Cross-domain Chinese Word Segmentation. [https://arxiv.org/abs/2412.09045 Arxiv]. COLING. 19 January, 2025. Abu Dhabi, UAE.  &lt;/div&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt; &lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* Xuebin Wang, Lei Zhang, Zhenghua Li*, Shilin Zhou, Chen Gong, Yang Hou. Mining Word Boundaries from Speech-Text Parallel Data for Cross-domain Chinese Word Segmentation. [https://arxiv.org/abs/2412.09045 Arxiv]. COLING. 19 January, 2025. Abu Dhabi, UAE.  &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;/table&gt;</summary>
		<author><name>Zhli</name></author>
	</entry>
	<entry>
		<id>http://hlt.suda.edu.cn/index.php?title=LA-paper-report-talk-etc&amp;diff=6032&amp;oldid=prev</id>
		<title>2025年10月15日 (三) 06:34 LA-share</title>
		<link rel="alternate" type="text/html" href="http://hlt.suda.edu.cn/index.php?title=LA-paper-report-talk-etc&amp;diff=6032&amp;oldid=prev"/>
		<updated>2025-10-15T06:34:29Z</updated>

		<summary type="html">&lt;p&gt;&lt;/p&gt;
&lt;table class=&quot;diff diff-contentalign-left diff-editfont-monospace&quot; data-mw=&quot;interface&quot;&gt;
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				&lt;td colspan=&quot;2&quot; style=&quot;background-color: #fff; color: #202122; text-align: center;&quot;&gt;←上一版本&lt;/td&gt;
				&lt;td colspan=&quot;2&quot; style=&quot;background-color: #fff; color: #202122; text-align: center;&quot;&gt;2025年10月15日 (三) 06:34的版本&lt;/td&gt;
				&lt;/tr&gt;&lt;tr&gt;&lt;td colspan=&quot;2&quot; class=&quot;diff-lineno&quot; id=&quot;mw-diff-left-l98&quot; &gt;第98行：&lt;/td&gt;
&lt;td colspan=&quot;2&quot; class=&quot;diff-lineno&quot;&gt;第98行：&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt; &lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt; &lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt; &lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* Yahui Liu, Zhenghua Li, Chen Gong*, Shilin Zhou，Min Zhang. Annotation error detection in painstakingly annotated data: Part-of-speech tagging as a case study. Expert Systems With Applications (ESWA), 2025,290:128374. [https://www.sciencedirect.com/science/article/pii/S0957417425019931 official]&lt;/div&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt; &lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* Yahui Liu, Zhenghua Li, Chen Gong*, Shilin Zhou，Min Zhang. Annotation error detection in painstakingly annotated data: Part-of-speech tagging as a case study. Expert Systems With Applications (ESWA), 2025,290:128374. [https://www.sciencedirect.com/science/article/pii/S0957417425019931 official]&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;−&lt;/td&gt;&lt;td style=&quot;color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* Ziyan Zhang, Yang Hou, Chen Gong, Zhenghua Li. Self-Correction Makes LLMs Better Parsers. In Findings of EMNLP 2025, Suzhou, China. [https://arxiv.org/abs/2504.14165 Arxiv].&lt;/div&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt;+&lt;/td&gt;&lt;td style=&quot;color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* Ziyan Zhang, Yang Hou, Chen Gong&lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;*&lt;/ins&gt;, Zhenghua Li. Self-Correction Makes LLMs Better Parsers. In Findings of EMNLP 2025, Suzhou, China. [https://arxiv.org/abs/2504.14165 Arxiv].&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt; &lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* Houquan Zhou, Bo Zhang, Zhenghua Li, Ming Yan, and Min Zhang. 2025. A Training-free LLM-based Approach to General Chinese Character Error Correction. In Proceedings of ACL, pages 13827–13852, Vienna, Austria. Association for Computational Linguistics. [https://aclanthology.org/2025.acl-long.678.pdf official]&lt;/div&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt; &lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* Houquan Zhou, Bo Zhang, Zhenghua Li, Ming Yan, and Min Zhang. 2025. A Training-free LLM-based Approach to General Chinese Character Error Correction. In Proceedings of ACL, pages 13827–13852, Vienna, Austria. Association for Computational Linguistics. [https://aclanthology.org/2025.acl-long.678.pdf official]&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt; &lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* Ziheng Qiao, Houquan Zhou, Zhenghua Li*. Mixture of Small and Large Models for Chinese Spelling Check. ACL, pages 28298–28311, Vienna, Austria. [https://aclanthology.org/2025.acl-long.1372.pdf acl-anthology]&lt;/div&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt; &lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* Ziheng Qiao, Houquan Zhou, Zhenghua Li*. Mixture of Small and Large Models for Chinese Spelling Check. ACL, pages 28298–28311, Vienna, Austria. [https://aclanthology.org/2025.acl-long.1372.pdf acl-anthology]&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td colspan=&quot;2&quot; class=&quot;diff-lineno&quot; id=&quot;mw-diff-left-l104&quot; &gt;第104行：&lt;/td&gt;
&lt;td colspan=&quot;2&quot; class=&quot;diff-lineno&quot;&gt;第104行：&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt; &lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* Yang Hou, Zhenghua Li*. Dynamic Head Selection for Neural Lexicalized Constituency Parsing. In Proceedings of ACL 2025, pages 16141–16155, Vienna, Austria. [https://aclanthology.org/2025.acl-long.786.pdf acl-anthology]&lt;/div&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt; &lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* Yang Hou, Zhenghua Li*. Dynamic Head Selection for Neural Lexicalized Constituency Parsing. In Proceedings of ACL 2025, pages 16141–16155, Vienna, Austria. [https://aclanthology.org/2025.acl-long.786.pdf acl-anthology]&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt; &lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* Yang Hou, Zhenghua Li*. Span-based Semantic Role Labeling as Lexicalized Constituency Tree Parsing. In Findings of ACL 2025, pages 10701–10713, Vienna, Austria. [https://aclanthology.org/2025.findings-acl.557.pdf acl-anthology]&lt;/div&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt; &lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* Yang Hou, Zhenghua Li*. Span-based Semantic Role Labeling as Lexicalized Constituency Tree Parsing. In Findings of ACL 2025, pages 10701–10713, Vienna, Austria. [https://aclanthology.org/2025.findings-acl.557.pdf acl-anthology]&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;−&lt;/td&gt;&lt;td style=&quot;color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* Ziyan Zhang, Yang Hou, Chen Gong, Zhenghua Li. Data Augmentation for Cross-domain Parsing via Lightweight LLM Generation and Tree Hybridization. [[文件:Data_Augmentation_for_Cross-domain_Parsing_via_Lightweight_LLM_Generation_and_Tree_Hybridization.pdf]]. COLING. 19 January, 2025. Abu Dhabi, UAE.&lt;/div&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt;+&lt;/td&gt;&lt;td style=&quot;color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* Ziyan Zhang, Yang Hou, Chen Gong&lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;*&lt;/ins&gt;, Zhenghua Li. Data Augmentation for Cross-domain Parsing via Lightweight LLM Generation and Tree Hybridization. [[文件:Data_Augmentation_for_Cross-domain_Parsing_via_Lightweight_LLM_Generation_and_Tree_Hybridization.pdf]]. COLING. 19 January, 2025. Abu Dhabi, UAE.&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt; &lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* Xuebin Wang, Lei Zhang, Zhenghua Li*, Shilin Zhou, Chen Gong, Yang Hou. Mining Word Boundaries from Speech-Text Parallel Data for Cross-domain Chinese Word Segmentation. [https://arxiv.org/abs/2412.09045 Arxiv]. COLING. 19 January, 2025. Abu Dhabi, UAE.  &lt;/div&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt; &lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* Xuebin Wang, Lei Zhang, Zhenghua Li*, Shilin Zhou, Chen Gong, Yang Hou. Mining Word Boundaries from Speech-Text Parallel Data for Cross-domain Chinese Word Segmentation. [https://arxiv.org/abs/2412.09045 Arxiv]. COLING. 19 January, 2025. Abu Dhabi, UAE.  &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt; &lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* Xi Ma, Yang Hou, Xuebin Wang, Zhenghua Li. A Probabilistic Toolkit for Multi-grained Word Segmentation in Chinese. [[文件:A_Probabilistic_Toolkit_for_Multi-grained_Word_Segmentation_in_Chinese.pdf]]. COLING Demonstration (demo paper). 19 January, 2025. Abu Dhabi, UAE.&lt;/div&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt; &lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* Xi Ma, Yang Hou, Xuebin Wang, Zhenghua Li. A Probabilistic Toolkit for Multi-grained Word Segmentation in Chinese. [[文件:A_Probabilistic_Toolkit_for_Multi-grained_Word_Segmentation_in_Chinese.pdf]]. COLING Demonstration (demo paper). 19 January, 2025. Abu Dhabi, UAE.&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;/table&gt;</summary>
		<author><name>LA-share</name></author>
	</entry>
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