1 citations · 1 across the 1 of their papers we have counts for
2 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.LG2026
AttriLens-Mol: Attribute Guided Reinforcement Learning for Molecular Property Prediction with Large Language Models
Xuan Lin, Long Chen, Yile Wang
Large Language Models (LLMs) have shown promise in assisting molecular property prediction tasks but often rely on human-crafted prompts and chain-of-thought templates. While recen…