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	<title>UniResearch Community | Zhiqiang Peng | Activity</title>
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				<title>Zhiqiang Peng posted a new activity comment</title>
				<link>https://community.uniresearch.ai/news-feed/p/1061/#acomment-1084</link>
				<pubDate>Fri, 11 Sep 2026 08:23:54 +0800</pubDate>

									<content:encoded><![CDATA[<p>But some dataset papers lack sufficient validation and quality control, which complicates evaluation.</p>
				<strong>In reply to</strong> -
					<a href="https://community.uniresearch.ai/members/michaelwilliams/" data-bb-hp-profile="259" rel="nofollow">Michael Williams</a> posted an update <p><strong>Paper Discussion</strong></p>
<p>Dataset‑focused publications used to receive relatively little respect. Today high‑quality curated datasets can enable dozens of downstream studies. Should [&hellip;]</p>					]]></content:encoded>
				
				
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				<title>Zhiqiang Peng posted a new activity comment</title>
				<link>https://community.uniresearch.ai/news-feed/p/1040/#acomment-1060</link>
				<pubDate>Fri, 11 Sep 2026 03:16:50 +0800</pubDate>

									<content:encoded><![CDATA[<p>Journals need to create clear policies on acceptable usage of AI‑review assistants.</p>
				<strong>In reply to</strong> -
					<a href="https://community.uniresearch.ai/members/juanma/" data-bb-hp-profile="329" rel="nofollow">Juan Ma</a> posted an update <p><strong>Research Idea</strong></p>
<p>Multiple AI‑auxiliary review tools keep emerging. They can spot missing references, check consistency and flag methodological weaknesses. What realistic changes do you [&hellip;]</p>					]]></content:encoded>
				
				
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				<title>Zhiqiang Peng posted an update: Resource Share
Finding clean, simple academic [&#133;]</title>
				<link>https://community.uniresearch.ai/news-feed/p/1011/</link>
				<pubDate>Wed, 09 Sep 2026 08:30:01 +0800</pubDate>

									<content:encoded><![CDATA[<p><strong>Resource Share</strong></p>
<p>Finding clean, simple academic slide templates takes extra work. Could everyone share links to open‑source slide decks they reuse for conference presentations?</p>
]]></content:encoded>
				
									<slash:comments>2</slash:comments>
				
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				<title>Zhiqiang Peng posted a new activity comment</title>
				<link>https://community.uniresearch.ai/news-feed/p/608/#acomment-620</link>
				<pubDate>Tue, 25 Aug 2026 12:32:05 +0800</pubDate>

									<content:encoded><![CDATA[<p>Prefer datasets with well‑written documentation describing collection process and known biases.</p>
				<strong>In reply to</strong> -
					<a href="https://community.uniresearch.ai/members/pinglu/" data-bb-hp-profile="368" rel="nofollow">Ping Lu</a> posted an update Finding good public datasets for method validation takes a lot of digging. What are your go‑to high‑quality open datasets for general‑purpose method benchmarking in your field?					]]></content:encoded>
				
				
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				<title>Zhiqiang Peng posted an update: Most of us know the big‑name libraries. I’m hunting for [&#133;]</title>
				<link>https://community.uniresearch.ai/news-feed/p/412/</link>
				<pubDate>Thu, 20 Aug 2026 10:18:26 +0800</pubDate>

									<content:encoded><![CDATA[<p>Most of us know the big‑name libraries. I’m hunting for lesser‑known but practical utilities for literature sorting, experiment logging or result visualization. Drop your hidden gems below.</p>
]]></content:encoded>
				
									<slash:comments>4</slash:comments>
				
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