most citedChemLLM: A Chemical Large Language Model

46 citations · 57 across the 7 of their papers we have counts for

collaborators

7 papers

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…

q-bio.MN2026

BRIDGE: Biological Evidence Refinement and Heterogeneous Dynamic Gating for Gene Regulatory Networks

Ziyang Dong, Shanwen Tan, Hengchuang Yin +5

Motivation: Gene regulatory network inference from single-cell RNA sequencing (scRNA-seq) data is important for uncovering cell-state-specific transcriptional programs. However, sc…

cs.CL2026

Lightweight Retrieval-Augmented Generation and Large Language Model-Based Modeling for Scalable Patient-Trial Matching

Xiaodi Li, Yang Xiao, Munhwan Lee +7

Patient-trial matching requires reasoning over long, heterogeneous electronic health records (EHRs) and complex eligibility criteria, posing significant challenges for scalability,…

cs.CL2024★ 4 cited

MolReFlect: Towards In-Context Fine-grained Alignments between Molecules and Texts

Jiatong Li, Yunqing Liu, Wei Liu +6

Molecule discovery is a pivotal research field, impacting everything from medicine to materials. Recently, Large Language Models (LLMs) have been widely adopted in molecular unders…

cs.LG2024★ 4 cited

ChemVLM: Exploring the Power of Multimodal Large Language Models in Chemistry Area

Junxian Li, Di Zhang, Xunzhi Wang +16

Large Language Models (LLMs) have achieved remarkable success and have been applied across various scientific fields, including chemistry. However, many chemical tasks require the…

cs.CL2024★ 3 cited

Large Language Models are In-Context Molecule Learners

Jiatong Li, Wei Liu, Zhihao Ding +3

Large Language Models (LLMs) have demonstrated exceptional performance in biochemical tasks, especially the molecule caption translation task, which aims to bridge the gap between…

cs.AI2024★ 46 cited

ChemLLM: A Chemical Large Language Model

Di Zhang, Wei Liu, Qian Tan +12

Large language models (LLMs) have made impressive progress in chemistry applications. However, the community lacks an LLM specifically designed for chemistry. The main challenges a…