Chain-of-Thought in Large Language Models: Decoding, Projection, and Activation

Chain-of-Thought prompting has significantly enhanced the reasoning capabilities of large language models, with numerous studies exploring factors influencing its performance. However, the underlying mechanisms remain poorly understood. To further demystify the operational principles, this work exam...

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Veröffentlicht in:	arXiv.org 2024-12
Hauptverfasser:	Yang, Hao, Zhao, Qianghua, Li, Lei
Format:	Artikel
Sprache:	eng
Schlagworte:	Decoding Large language models
Online-Zugang:	Volltext
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