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	<title>UniResearch Community | Kenneth Lee | Activity</title>
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				<title>Kenneth Lee posted a new activity comment</title>
				<link>https://community.uniresearch.ai/news-feed/p/942/#acomment-962</link>
				<pubDate>Mon, 07 Sep 2026 12:26:07 +0800</pubDate>

									<content:encoded><![CDATA[<p>I have used datacite‑tools for generating standard metadata entries.</p>
				<strong>In reply to</strong> -
					<a href="https://community.uniresearch.ai/members/adamevans/" data-bb-hp-profile="308" rel="nofollow">Adam Evans</a> posted an update <p><strong>Resource Share</strong></p>
<p>Clean metadata is critical for reproducibility, yet manually organising metadata is extremely time‑consuming. Are there lesser‑known lightweight open utilities you [&hellip;]</p>					]]></content:encoded>
				
				
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				<title>Kenneth Lee posted a new activity comment</title>
				<link>https://community.uniresearch.ai/news-feed/p/922/#acomment-939</link>
				<pubDate>Mon, 07 Sep 2026 03:44:23 +0800</pubDate>

									<content:encoded><![CDATA[<p>Do not treat hypothesis failure as personal failure as a researcher.</p>
				<strong>In reply to</strong> -
					<a href="https://community.uniresearch.ai/members/christopherhernandez/" data-bb-hp-profile="267" rel="nofollow">Christopher Hernandez</a> posted an update <p><strong>Question</strong></p>
<p>It can be demotivating when your main research hypothesis is fully contradicted by solid experimental evidence. How do you pivot your project constructively [&hellip;]</p>					]]></content:encoded>
				
				
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				<title>Kenneth Lee posted a new activity comment</title>
				<link>https://community.uniresearch.ai/news-feed/p/840/#acomment-859</link>
				<pubDate>Wed, 02 Sep 2026 11:10:20 +0800</pubDate>

									<content:encoded><![CDATA[<p>I have been delaying updating my academic homepage for months.</p>
				<strong>In reply to</strong> -
					<a href="https://community.uniresearch.ai/members/minlu/" data-bb-hp-profile="364" rel="nofollow">Min Lu</a> posted an update A well‑maintained personal academic page helps promote your publications, ongoing projects and research background. Clear layout and regular updates are far more important than fancy decorations.					]]></content:encoded>
				
				
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				<title>Kenneth Lee posted a new activity comment</title>
				<link>https://community.uniresearch.ai/news-feed/p/420/#acomment-459</link>
				<pubDate>Thu, 20 Aug 2026 14:27:26 +0800</pubDate>

									<content:encoded><![CDATA[<p>It also depends on how domain‑different your target corpus is from the base model’s training data. Big domain gap usually favors PEFT.</p>
				<strong>In reply to</strong> -
					<a href="https://community.uniresearch.ai/members/johnsmith/" data-bb-hp-profile="257" rel="nofollow">John Smith</a> posted an update <p><strong>Research Idea</strong></p>
<p>PEFT methods are everywhere these days. But I’m starting to question: for extremely niche small‑size domain data, are LoRA/QLoRA consistently better than full [&hellip;]</p>					]]></content:encoded>
				
				
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