59 citations · 387 across the 30 of their papers we have counts for
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cs.CL2023★ 15 cited
Large Language Models are In-Context Semantic Reasoners rather than Symbolic Reasoners
Xiaojuan Tang, Zilong Zheng, Jiaqi Li +4
The emergent few-shot reasoning capabilities of Large Language Models (LLMs) have excited the natural language and machine learning community over recent years. Despite of numerous…
cs.CL2023★ 3 cited
Code Prompting: a Neural Symbolic Method for Complex Reasoning in Large Language Models
Yi Hu, Haotong Yang, Zhouchen Lin +1
Large language models (LLMs) have scaled up to unlock a wide range of complex reasoning tasks with the aid of various prompting methods. However, current prompting methods generate…