4 papers
S3C-LLM: Skill-Code Guided Agentic Language Models for Spectrum-to-Structure Elucidation
Xuanle Zhao, Xinyuan Cai, Xiang Cheng +1
Spectroscopic structure elucidation is central to molecular analysis, but recent Large Language Model (LLM)-based methods mostly formulate it as direct spectrum-to-SMILES generatio…
ChemVLR: Prioritizing Reasoning in Perception for Chemical Vision-Language Understanding
Xuanle Zhao, Xinyuan Cai, Xiang Cheng +2
While Vision-Language Models (VLMs) have demonstrated significant potential in chemical visual understanding, current models are predominantly optimized for direct visual question-…
TinyChemVL: Advancing Chemical Vision-Language Models via Efficient Visual Token Reduction and Complex Reaction Tasks
Xuanle Zhao, Shuxin Zeng, Xinyuan Cai +4
While Vision Language Models (VLMs) have demonstrated remarkable capabilities in general visual understanding, their application in the chemical domain has been limited, with previ…
Revisiting Continual Semantic Segmentation with Pre-trained Vision Models
Duzhen Zhang, Yong Ren, Wei Cong +9
Continual Semantic Segmentation (CSS) seeks to incrementally learn to segment novel classes while preserving knowledge of previously encountered ones. Recent advancements in CSS ha…