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cs.CL2024
Chunk-Distilled Language Modeling
Yanhong Li, Karen Livescu, Jiawei Zhou
We introduce Chunk-Distilled Language Modeling (CD-LM), an approach to text generation that addresses two challenges in current large language models (LLMs): the inefficiency of to…
cs.CL2024
When Hindsight is Not 20/20: Testing Limits on Reflective Thinking in Large Language Models
Yanhong Li, Chenghao Yang, Allyson Ettinger
Recent studies suggest that self-reflective prompting can significantly enhance the reasoning capabilities of Large Language Models (LLMs). However, the use of external feedback as…