"Regularized Best-of-N Sampling to Mitigate Reward Hacking for Language ..."

Yuu Jinnai et al. (2024)

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DOI: 10.48550/ARXIV.2404.01054

access: open

type: Informal or Other Publication

metadata version: 2024-05-08

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  - journals/corr/abs-2404-01054
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Yuu Jinnai, Tetsuro Morimura, Kaito Ariu, Kenshi Abe:
Regularized Best-of-N Sampling to Mitigate Reward Hacking for Language Model Alignment. CoRR abs/2404.01054 (2024)

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