Conference
Open access
Sep 2026
Reasoning in Large Language Models: Methods, Challenges, and Future Directions
This paper reviews several methods aimed at improving reasoning in large language models, including prompt-based approaches, including Chain-of-Thought, self-consistency, and Auto- CoT, which try to guide models to generate intermediate reasoning steps.
Zhuang-Chen Xu
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