most citedTowards a Unified View of Preference Learning for Large Language Models: A Survey

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cs.CL2024★ 1 cited

Towards a Unified View of Preference Learning for Large Language Models: A Survey

Bofei Gao, Feifan Song, Yibo Miao +22

Large Language Models (LLMs) exhibit remarkably powerful capabilities. One of the crucial factors to achieve success is aligning the LLM's output with human preferences. This align…

cs.CL2024

Rethinking Semantic Parsing for Large Language Models: Enhancing LLM Performance with Semantic Hints

Kaikai An, Shuzheng Si, Helan Hu +4

Semantic Parsing aims to capture the meaning of a sentence and convert it into a logical, structured form. Previous studies show that semantic parsing enhances the performance of s…