Large language models on graphs: A comprehensive survey

B Jin, G Liu, C Han, M Jiang, H Ji… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Large language models (LLMs), such as GPT4 and LLaMA, are creating significant
advancements in natural language processing, due to their strong text encoding/decoding …

Scientific large language models: A survey on biological & chemical domains

Q Zhang, K Ding, T Lv, X Wang, Q Yin, Y Zhang… - ACM Computing …, 2024 - dl.acm.org
Large Language Models (LLMs) have emerged as a transformative power in enhancing
natural language comprehension, representing a significant stride toward artificial general …

[HTML][HTML] A survey of large language models for healthcare: from data, technology, and applications to accountability and ethics

K He, R Mao, Q Lin, Y Ruan, X Lan, M Feng… - Information …, 2025 - Elsevier
The utilization of large language models (LLMs) for Healthcare has generated both
excitement and concern due to their ability to effectively respond to free-text queries with …

Improving medical reasoning through retrieval and self-reflection with retrieval-augmented large language models

M Jeong, J Sohn, M Sung, J Kang - Bioinformatics, 2024 - academic.oup.com
Recent proprietary large language models (LLMs), such as GPT-4, have achieved a
milestone in tackling diverse challenges in the biomedical domain, ranging from multiple …

Artificial intelligence for science in quantum, atomistic, and continuum systems

X Zhang, L Wang, J Helwig, Y Luo, C Fu, Y Xie… - arXiv preprint arXiv …, 2023 - arxiv.org
Advances in artificial intelligence (AI) are fueling a new paradigm of discoveries in natural
sciences. Today, AI has started to advance natural sciences by improving, accelerating, and …

A review of large language models and autonomous agents in chemistry

MC Ramos, CJ Collison, AD White - Chemical Science, 2025 - pubs.rsc.org
Large language models (LLMs) have emerged as powerful tools in chemistry, significantly
impacting molecule design, property prediction, and synthesis optimization. This review …

Drugassist: A large language model for molecule optimization

G Ye, X Cai, H Lai, X Wang, J Huang… - Briefings in …, 2025 - academic.oup.com
Recently, the impressive performance of large language models (LLMs) on a wide range of
tasks has attracted an increasing number of attempts to apply LLMs in drug discovery …

Democratizing protein language models with parameter-efficient fine-tuning

S Sledzieski, M Kshirsagar, M Baek… - Proceedings of the …, 2024 - National Acad Sciences
Proteomics has been revolutionized by large protein language models (PLMs), which learn
unsupervised representations from large corpora of sequences. These models are typically …

nach0: Multimodal natural and chemical languages foundation model

M Livne, Z Miftahutdinov, E Tutubalina… - Chemical …, 2024 - pubs.rsc.org
Large Language Models (LLMs) have substantially driven scientific progress in various
domains, and many papers have demonstrated their ability to tackle complex problems with …

Instructmol: Multi-modal integration for building a versatile and reliable molecular assistant in drug discovery

H Cao, Z Liu, X Lu, Y Yao, Y Li - arXiv preprint arXiv:2311.16208, 2023 - arxiv.org
The rapid evolution of artificial intelligence in drug discovery encounters challenges with
generalization and extensive training, yet Large Language Models (LLMs) offer promise in …