From the 1 of 10 linked papers with an AI index.
10 papers
AgentCompass: A Unified Evaluation Infrastructure for Agent Capabilities
Kai Chen, Zichen Ding, Jiaye Ge +22
The paper presents AgentCompass, an open‑source infrastructure that standardizes and simplifies the evaluation of large‑language‑model based autonomous agents by separating benchma…
Rectifying LLM Thought from Lens of Optimization
Junnan Liu, Hongwei Liu, Songyang Zhang +1
Recent advancements in large language models (LLMs) have been driven by their emergent reasoning capabilities, particularly through long chain-of-thought (CoT) prompting, which ena…
How Brittle is Agent Safety? Rethinking Agent Risk under Intent Concealment and Task Complexity
Zihan Ma, Dongsheng Zhu, Shudong Liu +6
Current safety evaluations for LLM-driven agents primarily focus on atomic harms, failing to address sophisticated threats where malicious intent is concealed or diluted within com…
Dissecting Tool-Integrated Reasoning: An Empirical Study and Analysis
Yufeng Zhao, Junnan Liu, Hongwei Liu +4
Large Language Models (LLMs) have made significant strides in reasoning tasks through methods like chain-of-thought (CoT) reasoning. However, they often fall short in tasks requiri…
Are Your LLMs Capable of Stable Reasoning?
Junnan Liu, Hongwei Liu, Linchen Xiao +6
The rapid advancement of large language models (LLMs) has shown remarkable progress in complex reasoning tasks. However, a significant disparity exists between benchmark performanc…
CompassVerifier: A Unified and Robust Verifier for LLMs Evaluation and Outcome Reward
Shudong Liu, Hongwei Liu, Junnan Liu +8
Answer verification is crucial not only for evaluating large language models (LLMs) by matching their unstructured outputs against standard answers, but also serves as the reward m…