most citedReinforcement Learning for LLM Post-Training: A Survey

9 citations

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cs.CL2024★ 9 cited

Reinforcement Learning for LLM Post-Training: A Survey

Zhichao Wang, Kiran Ramnath, Bin Bi +9

Large language models (LLMs) trained via pretraining and supervised fine-tuning (SFT) can still produce harmful and misaligned outputs, or struggle in domains like math and coding.…

cs.CL2024★ 4 cited

PAFT: A Parallel Training Paradigm for Effective LLM Fine-Tuning

Shiva Kumar Pentyala, Zhichao Wang, Bin Bi +6

Large language models (LLMs) have shown remarkable abilities in diverse natural language processing (NLP) tasks. The LLMs generally undergo supervised fine-tuning (SFT) followed by…