1 citations · 1 across the 1 of their papers we have counts for
3 papers
cs.AI2026★ 1 cited
Property Enhanced Instruction Tuning for Multi-task Molecule Generation with Large Language Models
Xuan Lin, Long Chen, Yile Wang +2
Large language models (LLMs) are widely applied in various natural language processing tasks such as question answering and machine translation. However, due to the lack of labeled…
cs.LG2025
Enhancing Chemical Reaction and Retrosynthesis Prediction with Large Language Model and Dual-task Learning
Xuan Lin, Qingrui Liu, Hongxin Xiang +2
Chemical reaction and retrosynthesis prediction are fundamental tasks in drug discovery. Recently, large language models (LLMs) have shown potential in many domains. However, direc…
cs.AI2024
Learning to Denoise Biomedical Knowledge Graph for Robust Molecular Interaction Prediction
Tengfei Ma, Yujie Chen, Wen Tao +9
Molecular interaction prediction plays a crucial role in forecasting unknown interactions between molecules, such as drug-target interaction (DTI) and drug-drug interaction (DDI),…