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Information Re-Organization Improves Reasoning in Large Language Models
April 23, 2024, 4:50 a.m. | Xiaoxia Cheng, Zeqi Tan, Weiming Lu
cs.CL updates on arXiv.org arxiv.org
Abstract: Improving the reasoning capabilities of large language models (LLMs) has attracted considerable interest. Recent approaches primarily focus on improving the reasoning process to yield a more precise final answer. However, in scenarios involving contextually aware reasoning, these methods neglect the importance of first identifying logical relationships from the context before proceeding with the reasoning. This oversight could lead to a superficial understanding and interaction with the context, potentially undermining the quality and reliability of the …
arxiv cs.cl information language language models large language large language models organization reasoning type
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