SDPO: Segment-Level Direct Preference Optimization for Social Agents

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Earlier work this paper cites.

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Earlier work this paper cites.

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Earlier work this paper cites.

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Earlier work this paper cites.

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Earlier work this paper cites.

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Earlier work this paper cites.

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Rafael Rafailov, Archit Sharma, Eric Mitchell, Christopher D Manning, Stefano Ermon, and Chelsea Finn. 2023 · 2023

Earlier work this paper cites.

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Direct multi-turn preference optimization for language agents

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Later among the works it cites.

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Later among the works it cites.

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Later among the works it cites.

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Selective preference optimization via token-level reward function estimation

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