1 citations · 1 across the 4 of their papers we have counts for
6 papers
Molecular LLM Agents: From Architectural Design to Scientific Autonomy
Jiatong Li, Wengyu Zhang, Weida Wang +8
Molecular science represents an important frontier for LLM-based agents. Unlike general agents that mainly operate over natural language, code, or web environments, molecular LLM a…
DeAR: Decentralized Agentic Reasoning via Capability Grounding and Collaborative Thought Navigation
Xing Wei, Changmeng Zheng, XiaoYong Wei +2
Existing agentic reasoning systems typically rely on centralized protocols. This design introduces routing bottlenecks and static role allocations that often fail when handling com…
Aligning Clinical Needs and AI Capabilities: A Survey on LLMs for Medical Reasoning
Qi Peng, Jiatong Li, Sirui Huang +10
Large language models (LLMs) have emerged as important tools in healthcare, showing growing potential for clinical reasoning and patient care. This survey examines recent progress…
Do LLMs Truly Generalize in the Molecular Domain? A Perturbation-Based Analysis
Jiatong Li, Weida Wang, Changmeng Zheng +4
Large Language Models (LLMs) have recently shown promise in molecular discovery, yet a gap remains between their probabilistic nature over discrete sequential tokens and the rigid…
Mol-R1: Towards Explicit Long-CoT Reasoning in Molecule Discovery
Jiatong Li, Weida Wang, Qinggang Zhang +6
Large language models (LLMs), especially Explicit Long Chain-of-Thought (CoT) reasoning models like DeepSeek-R1 and QWQ, have demonstrated powerful reasoning capabilities, achievin…
Reliable Reasoning Path: Distilling Effective Guidance for LLM Reasoning with Knowledge Graphs
Yilin Xiao, Chuang Zhou, Qinggang Zhang +3
Large language models (LLMs) often struggle with knowledge-intensive tasks due to a lack of background knowledge and a tendency to hallucinate. To address these limitations, integr…