PhD student, Huazhong University of Science and Technology
2 papers at NeurIPS 2025
This paper introduces CorrectBench, the first comprehensive benchmark for systematically evaluating self-correction mechanisms in LLMs.
We conducted the first study on backdoor attacks against vision-Language-Action models, introducing an effective backdoor attack algorithm that achieved a 100% success rate, providing valuable insights for VLA research.
