36 citations · 56 across the 9 of their papers we have counts for
4 papers · 1 filter
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…
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…
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…
Developing ChemDFM as a large language foundation model for chemistry
Zihan Zhao, Da Ma, Lu Chen +11
Artificial intelligence (AI) has played an increasingly important role in chemical research. However, most models currently used in chemistry are specialist models that require tra…