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cs.AI2026
EvoProbe: Evaluation-Driven Benchmark Evolution for LLM Agents
Qianhong Guo, Wei Xie, Xiaofang Cai +3
Static benchmarks for large language model (LLM) agents face saturation and data contamination risks, motivating continual updates to evaluation tasks. However, aggregate scores an…
cs.AI2025
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,…
cs.AI2024
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…