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      <title>Adaptive Underwater Acoustic Communications with Limited Feedback: An AoI-Aware Hierarchical Bandit Approach</title>
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      <pubDate>Tue, 24 Feb 2026 05:00:00 +0000</pubDate>
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      <description>• Bilevel Multi‑Armed Bandit framework for underwater acoustic communications in dynamic environments. • Inner CD‑MAB jointly optimizes modulation and power using channel state and</description>
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      <title>A large-scale randomized study of large language model feedback in peer review</title>
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      <pubDate>Tue, 24 Feb 2026 04:30:57 +0000</pubDate>
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      <description>• Abstract Peer review is stressed by rapidly rising submission volumes, leading to deteriorating review quality and increased author dissatisfaction. • Here, to address these issu</description>
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      <title>Inside the Human-AI Feedback Loop Powering CrowdStrike&amp;rsquo;s Agentic Security</title>
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      <description>• FeaturedIntroducing &amp;lsquo;AI Unlocked: Decoding Prompt Injection,&amp;rsquo; a New Interactive ChallengeFeb 18, 2026Exposing Insider Threats through Data Protection, Identity, and HR ContextFeb</description>
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      <description>• Computer Science &amp;gt; Artificial Intelligence [Submitted on 17 Feb 2026] Title:Improving Interactive In-Context Learning from Natural Language Feedback View PDF HTML (experimental)A</description>
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      <title>Improving Interactive In-Context Learning from Natural Language Feedback</title>
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      <description>• Computer Science &amp;gt; Artificial Intelligence [Submitted on 17 Feb 2026] Title:Improving Interactive In-Context Learning from Natural Language Feedback View PDF HTML (experimental)A</description>
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      <pubDate>Thu, 19 Feb 2026 05:00:00 +0000</pubDate>
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      <description>• Computer Science &amp;gt; Artificial Intelligence [Submitted on 18 Feb 2026] Title:Learning Personalized Agents from Human Feedback View PDF HTML (experimental)Abstract:Modern AI agents</description>
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      <title>Learning Personalized Agents from Human Feedback</title>
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      <pubDate>Thu, 19 Feb 2026 05:00:00 +0000</pubDate>
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      <description>• Computer Science &amp;gt; Artificial Intelligence [Submitted on 18 Feb 2026] Title:Learning Personalized Agents from Human Feedback View PDF HTML (experimental)Abstract:Modern AI agents</description>
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      <title>Background Coding Agents: Predictable Results Through Strong Feedback Loops (Honk, Part 3)</title>
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      <pubDate>Tue, 09 Dec 2025 15:14:19 +0000</pubDate>
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      <description>• Background Coding Agents: Predictable Results Through Strong Feedback Loops (Honk, Part 3) This is part 3 in our series about Spotify&amp;rsquo;s journey with background coding agents (int</description>
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      <title>Background Coding Agents: Predictable Results Through Strong Feedback Loops (Honk, Part 3)</title>
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      <description>• Background Coding Agents: Predictable Results Through Strong Feedback Loops (Honk, Part 3) This is part 3 in our series about Spotify&amp;rsquo;s journey with background coding agents (int</description>
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      <description>• Background Coding Agents: Predictable Results Through Strong Feedback Loops (Part 3) This is part 3 in our series about Spotify&amp;rsquo;s journey with background coding agents and the fu</description>
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