作者位次 #3/9ACL 2026Findings· Findings of ACL
MCLE -Mol: Empowering LLM with Molecular Comprehension and Low-Cost Continual Evolution for Interpretable Property Prediction
Zhili Pu · Lantian Zhang · Hao Duan · Zhixing Zhang · Keyun Zhu · Yongqi Fan · Ruihui Hou · Tong Ruan · Yun Tang
摘要
Large language models (LLMs) offer a new paradigm for molecular property prediction (MPP), yet a semantic gap between natural language and molecular representations limits LLMs’ ability to capture structure–activity relationships (SAR). Recent approaches have explored injecting structure-level in...