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20232026
most citedChemLLM: A Chemical Large Language Model

46 citations · 67 across the 19 of their papers we have counts for

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6 papers · 1 filter

q-bio.QM2026

STAMP as a topology-aware molecular language for fragment-level learning and editing

Yuxuan Ren, Jiatong Li, Ziqiao Meng +1

Molecular fragments provide chemically meaningful units, but existing molecular languages rarely make their locations and connections explicit for editing. Here we introduce STAMP…

cs.CL2026

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…

cs.CE2026

Chemical Chain-of-Thought Functions as a Hallucination-Prone Molecular Scratchpad

Jiatong Li, Yuxuan Ren, Weida Wang +2

Chemical reasoning language models are expected to derive molecular answers through faithful chain-of-thought (CoT). However, across four reasoning model families and twelve chemis…

cs.AI2026

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…

cs.LG2026

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…

cs.CL2026

MolViBench: Evaluating LLMs on Molecular Vibe Coding

Jiatong Li, Yuxuan Ren, Weida Wang +4

Molecular Vibe Coding, a paradigm where chemists interact with LLMs to generate executable programs for molecular tasks, has emerged as a flexible alternative to chemical agents wi…