2 citations · 4 across the 12 of their papers we have counts for
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cs.CL2024
Kwai-STaR: Transform LLMs into State-Transition Reasoners
Xingyu Lu, Yuhang Hu, Changyi Liu +12
Mathematical reasoning presents a significant challenge to the cognitive capabilities of LLMs. Various methods have been proposed to enhance the mathematical ability of LLMs. Howev…
cs.CL2024★ 1 cited
From Linguistic Giants to Sensory Maestros: A Survey on Cross-Modal Reasoning with Large Language Models
Shengsheng Qian, Zuyi Zhou, Dizhan Xue +2
Cross-modal reasoning (CMR), the intricate process of synthesizing and drawing inferences across divergent sensory modalities, is increasingly recognized as a crucial capability in…
cs.CL2024★ 2 cited
BadAgent: Inserting and Activating Backdoor Attacks in LLM Agents
Yifei Wang, Dizhan Xue, Shengjie Zhang +1
With the prosperity of large language models (LLMs), powerful LLM-based intelligent agents have been developed to provide customized services with a set of user-defined tools. Stat…