2 citations · 2 across the 3 of their papers we have counts for
5 papers
Exemplar-Guided Planing: Enhanced LLM Agent for KGQA
Jingao Xu, Shuoyoucheng Ma, Xin Song +3
Large Language Models (LLMs) as interactive agents show significant promise in Knowledge Graph Question Answering (KGQA) but often struggle with the semantic gap between natural la…
AIPsychoBench: Understanding the Psychometric Differences between LLMs and Humans
Wei Xie, Shuoyoucheng Ma, Zhenhua Wang +4
Large Language Models (LLMs) with hundreds of billions of parameters have exhibited human-like intelligence by learning from vast amounts of internet-scale data. However, the unint…
League of LLMs: A Benchmark-Free Paradigm for Mutual Evaluation of Large Language Models
Qianhong Guo, Wei Xie, Xiaofang Cai +7
Although large language models (LLMs) have shown exceptional capabilities across a wide range of tasks, reliable evaluation remains a critical challenge due to data contamination,…
Do Large Language Models Truly Grasp Mathematics? An Empirical Exploration From Cognitive Psychology
Wei Xie, Shuoyoucheng Ma, Zhenhua Wang +4
The cognitive mechanism by which Large Language Models (LLMs) solve mathematical problems remains a widely debated and unresolved issue. Currently, there is little interpretable ex…
Foot In The Door: Understanding Large Language Model Jailbreaking via Cognitive Psychology
Zhenhua Wang, Wei Xie, Baosheng Wang +4
Large Language Models (LLMs) have gradually become the gateway for people to acquire new knowledge. However, attackers can break the model's security protection ("jail") to access…