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Poster
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Wed 8:45
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Direct Preference-based Policy Optimization without Reward Modeling
Gaon An · Junhyeok Lee · Xingdong Zuo · Norio Kosaka · Kyung-Min Kim · Hyun Oh Song
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Workshop
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Group Preference Optimization: Few-Shot Alignment of Large Language Models
Siyan Zhao · John Dang · Aditya Grover
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Workshop
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Zero-shot Cross-task Preference Alignment for Offline RL via Optimal Transport
Runze Liu · Yali Du · Fengshuo Bai · Jiafei Lyu · Xiu Li
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Workshop
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Beyond Reverse KL: Generalizing Direct Preference Optimization with Diverse Divergence Constraints
Chaoqi Wang · Yibo Jiang · Chenghao Yang · Han Liu · Yuxin Chen
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Workshop
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Optimal Transport for Measures with Noisy Tree Metric
Tam Le · Truyen Nguyen · Kenji Fukumizu
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Workshop
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Group Preference Optimization: Few-Shot Alignment of Large Language Models
Siyan Zhao · John Dang · Aditya Grover
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Workshop
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Group Preference Optimization: Few-Shot Alignment of Large Language Models
Siyan Zhao · John Dang · Aditya Grover
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Workshop
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Beyond Reverse KL: Generalizing Direct Preference Optimization with Diverse Divergence Constraints
Chaoqi Wang · Yibo Jiang · Chenghao Yang · Han Liu · Yuxin Chen
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Oral
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Thu 13:50
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Direct Preference Optimization: Your Language Model is Secretly a Reward Model
Rafael Rafailov · Archit Sharma · Eric Mitchell · Christopher D Manning · Stefano Ermon · Chelsea Finn
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Poster
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Thu 8:45
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A fast heuristic to optimize time-space tradeoff for large models
Akifumi Imanishi · Zijian Xu · Masayuki Takagi · Sixue Wang · Emilio Castillo
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Poster
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Thu 15:00
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Direct Preference Optimization: Your Language Model is Secretly a Reward Model
Rafael Rafailov · Archit Sharma · Eric Mitchell · Christopher D Manning · Stefano Ermon · Chelsea Finn
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Workshop
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Preference-Guided Bayesian Optimization for Control Policy Learning: Application to Personalized Plasma Medicine
Ketong Shao · Diego Romeres · Ankush Chakrabarty · Ali Mesbah
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