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Author

Kaiwen Dong

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Goal-Conditioned Supervised Learning for LLM Fine-Tuning

This paper proposes goal-conditioned supervised learning (GCSL) as an offline fine-tuning framework for LLMs and proposes natural-language goal representations to further connect these patterns to the LLM's pretrained knowledge and generalization capabilities.

Shi-Jun Li, Kaiwen Dong, Xiang Gao et al. · 0 citations

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