most citedA Survey on Evaluation of Large Language Models

202 citations · 286 across the 10 of their papers we have counts for

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cs.CL2024★ 1 cited

Disentangling Logic: The Role of Context in Large Language Model Reasoning Capabilities

Wenyue Hua, Kaijie Zhu, Lingyao Li +7

This study intends to systematically disentangle pure logic reasoning and text understanding by investigating the contrast across abstract and contextualized logical problems from…

cs.CL2024★ 1 cited

AgentReview: Exploring Peer Review Dynamics with LLM Agents

Yiqiao Jin, Qinlin Zhao, Yiyang Wang +4

Peer review is fundamental to the integrity and advancement of scientific publication. Traditional methods of peer review analyses often rely on exploration and statistics of exist…

cs.CL2024★ 1 cited

Dynamic Evaluation of Large Language Models by Meta Probing Agents

Kaijie Zhu, Jindong Wang, Qinlin Zhao +2

Evaluation of large language models (LLMs) has raised great concerns in the community due to the issue of data contamination. Existing work designed evaluation protocols using well…

cs.CL2023★ 202 cited

A Survey on Evaluation of Large Language Models

Yupeng Chang, Xu Wang, Jindong Wang +13

Large language models (LLMs) are gaining increasing popularity in both academia and industry, owing to their unprecedented performance in various applications. As LLMs continue to…

cs.CL2023★ 51 cited

PromptRobust: Towards Evaluating the Robustness of Large Language Models on Adversarial Prompts

Kaijie Zhu, Jindong Wang, Jiaheng Zhou +8

The increasing reliance on Large Language Models (LLMs) across academia and industry necessitates a comprehensive understanding of their robustness to prompts. In response to this…