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As large language models (LLMs) see greater use in academic and commercial settings, there is increasing interest in methods that allow language models to generate texts aligned with human preferences.
Measuring nominal scale agreement among many raters
Joseph L Fleiss · 1971
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Jaroslav Hájek · 1971
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Ronen Eldan and Mark Russinovich · 2023
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Contrastive preference learning: Learning from human feedback without rl, 2023
Joey Hejna, Rafael Rafailov, Harshit Sikchi, Chelsea Finn, Scott Niekum, W. Bradley Knox, and Dorsa Sadigh · 2023
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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, and Chelsea Finn · 2023
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Bloom: A 176b-parameter open-access multilingual language model, 2023
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