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	<title>UniResearch Community | Donald Thomas | Activity</title>
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				<title>Donald Thomas posted a new activity comment</title>
				<link>https://community.uniresearch.ai/news-feed/p/2247/#acomment-2257</link>
				<pubDate>Fri, 23 Oct 2026 03:50:06 +0800</pubDate>

									<content:encoded><![CDATA[<p>Clearly state the concrete barrier and provide evidence where possible.</p>
				<strong>In reply to</strong> -
					<a href="https://community.uniresearch.ai/members/bb-trent/" data-bb-hp-profile="10" rel="nofollow">Trent</a> posted an update <p><strong>Question</strong></p>
<p>Reviewers sometimes request new experiments that cannot be done: samples exhausted, equipment decommissioned or cohort closed. How do you construct a polite, persuasive [&hellip;]</p>					]]></content:encoded>
				
				
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				<title>Donald Thomas posted a new activity comment</title>
				<link>https://community.uniresearch.ai/news-feed/p/2207/#acomment-2227</link>
				<pubDate>Sun, 18 Oct 2026 03:41:50 +0800</pubDate>

									<content:encoded><![CDATA[<p>Ask explicitly about their priorities so you understand what they care about most.</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>Collaboration</strong></p>
<p>Program officers monitor grant project progress. Sometimes their implicit expectations about speed or deliverables diverge from real‑world research realities. What [&hellip;]</p>					]]></content:encoded>
				
				
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				<title>Donald Thomas posted a new activity comment</title>
				<link>https://community.uniresearch.ai/news-feed/p/1920/#acomment-1938</link>
				<pubDate>Sun, 11 Oct 2026 11:12:51 +0800</pubDate>

									<content:encoded><![CDATA[<p>Avoid piling high‑pressure urgent tasks onto only one single remote subgroup.</p>
				<strong>In reply to</strong> -
					<a href="https://community.uniresearch.ai/members/waltermurphy/" data-bb-hp-profile="313" rel="nofollow">Murphy</a> posted an update <p><strong>Collaboration</strong></p>
<p>Distributed multi‑site teams contain members working in different labs or countries. Assigning tasks fairly according to each subgroup’s real capacity is non‑trivial. [&hellip;]</p>					]]></content:encoded>
				
				
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				<title>Donald Thomas posted a new activity comment</title>
				<link>https://community.uniresearch.ai/news-feed/p/1834/#acomment-1849</link>
				<pubDate>Fri, 09 Oct 2026 07:14:36 +0800</pubDate>

									<content:encoded><![CDATA[<p>Hidden biases carried over from source training corpora require careful evaluation.</p>
				<strong>In reply to</strong> -
					<a href="https://community.uniresearch.ai/members/junshen/" data-bb-hp-profile="363" rel="nofollow">Jun Shen</a> posted an update <p><strong>Research Idea</strong></p>
<p>Synthetic data generation techniques keep improving. Synthetic datasets can mitigate privacy issues and expand limited sample sizes. At the same time they can inherit [&hellip;]</p>					]]></content:encoded>
				
				
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				<title>Donald Thomas posted a new activity comment</title>
				<link>https://community.uniresearch.ai/news-feed/p/1801/#acomment-1824</link>
				<pubDate>Thu, 08 Oct 2026 12:31:46 +0800</pubDate>

									<content:encoded><![CDATA[<p>Always fully record embedding source, exact version and pre‑processing steps in your paper.</p>
				<strong>In reply to</strong> -
					<a href="https://community.uniresearch.ai/members/jamesjones/" data-bb-hp-profile="261" rel="nofollow">James Jones</a> posted an update <p><strong>Paper Discussion</strong></p>
<p>Many researchers directly download public pre‑computed embeddings for their analysis work. This saves compute time but can bring hidden pitfalls such as embedding [&hellip;]</p>					]]></content:encoded>
				
				
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				<title>Donald Thomas posted an update: Paper Discussion
Many conferences accept [&#133;]</title>
				<link>https://community.uniresearch.ai/news-feed/p/1728/</link>
				<pubDate>Mon, 28 Sep 2026 03:43:08 +0800</pubDate>

									<content:encoded><![CDATA[<p><strong>Paper Discussion</strong></p>
<p>Many conferences accept short abstract‑only submissions for work‑in‑progress presentations. These abstracts do not produce full proceedings publications. What pros and cons should researchers weigh before submitting abstract‑only conference presentations?</p>
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									<slash:comments>5</slash:comments>
				
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				<title>Donald Thomas posted a new activity comment</title>
				<link>https://community.uniresearch.ai/news-feed/p/1546/#acomment-1569</link>
				<pubDate>Thu, 24 Sep 2026 11:13:13 +0800</pubDate>

									<content:encoded><![CDATA[<p>All core claims should be supported by complete, verified results.</p>
				<strong>In reply to</strong> -
					<a href="https://community.uniresearch.ai/members/lingliang/" data-bb-hp-profile="338" rel="nofollow">Ling Liang</a> posted an update <p><strong>Question</strong></p>
<p>Knowing when to submit is a judgment call. Submitting too early risks rejection; waiting too long wastes time. What concrete criteria do you use to judge that a manuscript [&hellip;]</p>					]]></content:encoded>
				
				
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				<title>Donald Thomas posted a new activity comment</title>
				<link>https://community.uniresearch.ai/news-feed/p/946/#acomment-965</link>
				<pubDate>Mon, 07 Sep 2026 12:26:29 +0800</pubDate>

									<content:encoded><![CDATA[<p>Research questions get secondary to chasing higher numbers.</p>
				<strong>In reply to</strong> -
					<a href="https://community.uniresearch.ai/members/wenren/" data-bb-hp-profile="361" rel="nofollow">Wen Ren</a> posted an update <p><strong>Research Idea</strong></p>
<p>Many research projects are heavily oriented toward leaderboard metrics. But leaderboard performance does not always translate to real‑world robustness. What negative [&hellip;]</p>					]]></content:encoded>
				
				
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				<title>Donald Thomas posted a new activity comment</title>
				<link>https://community.uniresearch.ai/news-feed/p/883/#acomment-889</link>
				<pubDate>Thu, 03 Sep 2026 07:09:31 +0800</pubDate>

									<content:encoded><![CDATA[<p>Milestones need to remain realistic instead of overly ambitious.</p>
				<strong>In reply to</strong> -
					<a href="https://community.uniresearch.ai/members/jundong/" data-bb-hp-profile="350" rel="nofollow">Jun Dong</a> posted an update Vague large‑scale goals easily cause procrastination. Split big research objectives into measurable, time‑bound small milestones, and adjust flexibly when facing unexpected obstacles.					]]></content:encoded>
				
				
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				<title>Donald Thomas posted a new activity comment</title>
				<link>https://community.uniresearch.ai/news-feed/p/766/#acomment-779</link>
				<pubDate>Mon, 31 Aug 2026 12:28:12 +0800</pubDate>

									<content:encoded><![CDATA[<p>Networking during poster sessions is super valuable.</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 <strong>Conference &amp; Academic Exchange</strong>

A good poster needs concise logic, readable visuals and clear core conclusions. Avoid stuffing excessive text; reserve space for communication [&hellip;]					]]></content:encoded>
				
				
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				<title>Donald Thomas posted a new activity comment</title>
				<link>https://community.uniresearch.ai/news-feed/p/500/#acomment-509</link>
				<pubDate>Fri, 21 Aug 2026 09:01:38 +0800</pubDate>

									<content:encoded><![CDATA[<p>Early stopping is my go‑to solution. It’s simple yet extremely effective for preventing overfitting with minimal extra workload.</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 Overfitting is a common headache for novice researchers, especially when experimental data is limited. Complex models easily memorize noise instead of capturing valid [&hellip;]					]]></content:encoded>
				
				
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