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17 Results
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Workshop
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A Linear Network Theory of Iterated Learning Devon Jarvis · Richard Klein · Benjamin Rosman · Andrew Saxe |
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Poster
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Fri 11:00 |
Bias Amplification in Language Model Evolution: An Iterated Learning Perspective Yi Ren · Shangmin Guo · Linlu Qiu · Bailin Wang · Danica J. Sutherland |
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Workshop
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Honesty to Subterfuge: In-Context Reinforcement Learning Can Make Honest Models Reward Hack Leo McKee-Reid · Joe Needham · Maria Martinez · Christoph Sträter · Mikita Balesni |
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Poster
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Fri 16:30 |
Truncated Variance Reduced Value Iteration Yujia Jin · Ishani Karmarkar · Aaron Sidford · Jiayi Wang |
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Workshop
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Monte Carlo Tree Search Boosts Reasoning via Iterative Preference Learning Yuxi Xie · Anirudh Goyal · Wenyue Zheng · Min-Yen Kan · Timothy Lillicrap · Kenji Kawaguchi · Michael Qizhe Shieh |