Liting Huang

Safety alignment in Large Language Models is critical for healthcare; however, reliance on binary refusal boundaries often results in over-refusal of benign queries or unsafe compliance with harmful ones. While existing benchmarks measure these extremes, they fail to evaluate Safe Completion: the...

While Multimodal Large Language Models (MLLMs) demonstrate strong reasoning capabilities, they lack domain-specific expertise to effectively perform chemical tasks. For example, existing MLLMs struggle with both the lower-level task of molecular structure recognition and the higher-level task of...