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 …

Leveraging AI to improve evidence synthesis in conservation

O Berger-Tal, BBM Wong, CA Adams… - Trends in Ecology & …, 2024 - cell.com
Systematic evidence syntheses (systematic reviews and maps) summarize knowledge and
are used to support decisions and policies in a variety of applied fields, from medicine and …

ProtoCode: Leveraging large language models (LLMs) for automated generation of machine-readable PCR protocols from scientific publications

S Jiang, D Evans-Yamamoto, D Bersenev… - SLAS technology, 2024 - Elsevier
Protocol standardization and sharing are crucial for reproducibility in life sciences. In spite of
numerous efforts for standardized protocol description, adherence to these standards in …

RAG-Enhanced Collaborative LLM Agents for Drug Discovery

N Lee, E De Brouwer, E Hajiramezanali, C Park… - arxiv preprint arxiv …, 2025 - arxiv.org
Recent advances in large language models (LLMs) have shown great potential to
accelerate drug discovery. However, the specialized nature of biochemical data often …

Hierarchically Encapsulated Representation for Protocol Design in Self-Driving Labs

YZ Shi, M Liu, F Meng, Q Xu, Z Bi, K He, L Ruan… - … Conference on Learning … - openreview.net
Self-driving laboratories have begun to replace human experimenters in performing single
experimental skills or predetermined experimental protocols. However, as the pace of idea …

[PDF][PDF] Self-Adaptive Toolchains: Evolving Multi-Tool Learning in Language Models for Planning

S Deng, M Wang, E Brown, D Williams - researchgate.net
Large language models (LLMs) have demonstrated remarkable potential in handling a wide
variety of tasks, yet the escalating complexity of these tasks demands more advanced …

생명과학 분야의 실험 프로토콜 생성을 위한 대규모 언어 모델 활용 프롬프트 전략 연구

문지원, 송주영, 김현이, 오민석, 이원희… - 한국정보과학회 학술발표 …, 2024 - dbpia.co.kr
요 약자연어처리 기술은 최근 비약적으로 발전하였으며, 생명과학 분야에서도 대규모 언어
모델을 활용하여실험 프로토콜 문서를 자동 생성하는 연구가 등장하였다. 본 연구는 생명과학 …