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cs.AI2024
Minor DPO reject penalty to increase training robustness
Shiming Xie, Hong Chen, Fred Yu +3
Learning from human preference is a paradigm used in large-scale language model (LLM) fine-tuning step to better align pretrained LLM to human preference for downstream task. In th…
cs.AI2024
Minor SFT loss for LLM fine-tune to increase performance and reduce model deviation
Shiming Xie, Hong Chen, Fred Yu +2
Instruct LLM provide a paradigm used in large scale language model to align LLM to human preference. The paradigm contains supervised fine tuning and reinforce learning from human…