most citedFrom Generalist to Specialist: A Survey of Large Language Models for Chemistry

4 citations · 4 across the 1 of their papers we have counts for

collaborators

5 papers

cs.LG2025

MS-BART: Unified Modeling of Mass Spectra and Molecules for Structure Elucidation

Yang Han, Pengyu Wang, Kai Yu +2

Mass spectrometry (MS) plays a critical role in molecular identification, significantly advancing scientific discovery. However, structure elucidation from MS data remains challeng…

cs.CE2025

ChemDFM-R: A Chemical Reasoning LLM Enhanced with Atomized Chemical Knowledge

Zihan Zhao, Ziping Wan, Lu Chen +12

Atomized chemical knowledge, such as functional group information of molecules and reactions, plays a pivotal intermediate role in the reasoning process that connects molecular str…

physics.chem-ph20244 cited

From Generalist to Specialist: A Survey of Large Language Models for Chemistry

Yang Han, Ziping Wan, Lu Chen +2

Large Language Models (LLMs) have significantly transformed our daily life and established a new paradigm in natural language processing (NLP). However, the predominant pretraining…

cs.CL2024

SciDFM: A Large Language Model with Mixture-of-Experts for Science

Liangtai Sun, Danyu Luo, Da Ma +7

Recently, there has been a significant upsurge of interest in leveraging large language models (LLMs) to assist scientific discovery. However, most LLMs only focus on general scien…

cs.LG2024

ChemDFM-X: Towards Large Multimodal Model for Chemistry

Zihan Zhao, Bo Chen, Jingpiao Li +10

Rapid developments of AI tools are expected to offer unprecedented assistance to the research of natural science including chemistry. However, neither existing unimodal task-specif…