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Direct Preference Optimization (DPO) has emerged as a more computationally efficient alternative to Reinforcement Learning from Human Feedback (RLHF) with Proximal Policy Optimization (PPO), eliminating the need for reward models and online sampling.
Variabilità e mutabilità
Corrado Gini · 1912
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Proximal policy optimization algorithms
John Schulman, Filip Wolski, Prafulla Dhariwal, Alec Radford, and Oleg Klimov · 2017
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Decoupled weight decay regularization
Ilya Loshchilov and Frank Hutter · 2018
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Training verifiers to solve math word problems
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Measuring mathematical problem solving with the math dataset
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Training language models to follow instructions with human feedback
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A general theoretical paradigm to understand learning from human preferences
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Open problems and fundamental limitations of reinforcement learning from human feedback
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Mitigating the alignment tax of rlhf
Yong Lin, Lu Tan, Hangyu Lin, Zeming Zheng, Renjie Pi, Jipeng Zhang, Shizhe Diao, Haoxiang Wang, Han Zhao, Yuan Yao, et al · 2023
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Direct preference optimization: Your language model is secretly a reward model
Rafael Rafailov, Archit Sharma, Eric Mitchell, Stefano Ermon, Christopher D Manning, and Chelsea Finn · 2023
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Code llama: Open foundation models for code
Baptiste Roziere, Jonas Gehring, Fabian Gloeckle, Sten Sootla, Itai Gat, Xiaoqing Ellen Tan, Yossi Adi, Jingyu Liu, Tal Remez, Jérémy Rapin, et al · 2023
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Benchmarking large language models for news summarization
Tianyi Zhang, Faisal Ladhak, Esin Durmus, Percy Liang, Kathleen McKeown, and Tatsunori B Hashimoto · 2023
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Slic-hf: Sequence likelihood calibration with human feedback
Yao Zhao, Rishabh Joshi, Tianqi Liu, Misha Khalman, Mohammad Saleh, and Peter J Liu · 2023
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Judging llm-as-a-judge with mt-bench and chatbot arena
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Nemotron-4 340b technical report
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Wildbench: Benchmarking llms with challenging tasks from real users in the wild
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Simpo: Simple preference optimization with a reference-free reward
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Smaug: Fixing failure modes of preference optimisation with dpo-positive
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Insights into alignment: Evaluating dpo and its variants across multiple tasks
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