CUHK ARISE Lab

SWE-Chain: Benchmarking Coding Agents on Continuous Package Version Upgrades

Code and data for the paper: Competing Large Language Models in Multi-Agent Gaming Environments

Code and data for the paper: Apathetic or Empathetic? Evaluating LLMs' Emotional Alignments with Humans

Code and data for the paper: On the Humanity of Conversational AI: Evaluating the Psychological Portrayal of LLMs

[NeurIPS 2025] CodeCrash: Exposing LLM Fragility to Misleading Natural Language in Code Reasoning

Code and data for the paper: On the Resilience of LLM-Based Multi-Agent Collaboration with Faulty Agents

Code and data for the paper: On the Reliability of Psychological Scales on Large Language Models

Code and data for the paper: AEON: A Method for Automatic Evaluation of NLP Test Cases

Evaluating AI Chatbots’ Role-Play Ability