4 papers
CADS: Measuring the Incremental Contribution of LLM Proposers in Sequential Biological Screens
Guanxing Chen, Nihui Shao, Haohuai He +3
Large language models are increasingly used to guide sequential biological screens, yet standard evaluations rely on raw hit counts that conflate a proposer's value with the discov…
PharmAgent: Constraint-Aware Search with Frozen Language Models for Molecular Optimization
Nihui Shao, Guanxing Chen, Jilong Shi +6
Molecular optimization must improve target activity and satisfy developability constraints within limited evaluation budgets. Classical methods require tailored rules or training t…
STAIL: Semantic Text-Anchored Incremental Learning for Medical Imaging via Large Language Models
Songpan Gao, Yajie Zhang, Guanxing Chen +9
Deep learning models applied to medical image analysis suffer from severe catastrophic forgetting when continually adapting to new clinical tasks in dynamic environments. Mainstrea…
Better Eyes, Better Thoughts: Why Vision Chain-of-Thought Fails in Medicine
Yuan Wu, Zongxian Yang, Jiayu Qian +5
Large vision-language models (VLMs) often benefit from chain-of-thought (CoT) prompting in general domains, yet its efficacy in medical vision-language tasks remains underexplored.…