PhD student, Peking University
3 papers at NeurIPS 2025
ChemCoTBench bridges complex chemical reasoning with arithmetic-inspired step-by-step workflows, enabling LLMs to systematically tackle real-world tasks like molecular optimization and reaction prediction.
We present a unified audio-visual framework to uncover how humans and AI respond to modality conflicts and bias.