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With recent Nobel Prizes recognising AI contributions to science, Large Language Models (LLMs) are transforming scientific research by enhancing productivity and reshaping the scientific method. LLMs are now involved in experimental design,…

Large Language Models (LLMs) have emerged as a transformative power in enhancing natural language comprehension, representing a significant stride toward artificial general intelligence. The application of LLMs extends beyond conventional…

Scientific Large Language Models (Sci-LLMs) are transforming how knowledge is represented, integrated, and applied in scientific research, yet their progress is shaped by the complex nature of scientific data. This survey presents a…

Computation and Language · Computer Science 2025-10-21 Ming Hu , Chenglong Ma , Wei Li , Wanghan Xu , Jiamin Wu , Jucheng Hu , Tianbin Li , Guohang Zhuang , Jiaqi Liu , Yingzhou Lu , Ying Chen , Chaoyang Zhang , Cheng Tan , Jie Ying , Guocheng Wu , Shujian Gao , Pengcheng Chen , Jiashi Lin , Haitao Wu , Lulu Chen , Fengxiang Wang , Yuanyuan Zhang , Xiangyu Zhao , Feilong Tang , Encheng Su , Junzhi Ning , Xinyao Liu , Ye Du , Changkai Ji , Pengfei Jiang , Cheng Tang , Ziyan Huang , Jiyao Liu , Jiaqi Wei , Yuejin Yang , Xiang Zhang , Guangshuai Wang , Yue Yang , Huihui Xu , Ziyang Chen , Yizhou Wang , Chen Tang , Jianyu Wu , Yuchen Ren , Siyuan Yan , Zhonghua Wang , Zhongxing Xu , Shiyan Su , Shangquan Sun , Runkai Zhao , Zhisheng Zhang , Dingkang Yang , Jinjie Wei , Jiaqi Wang , Jiahao Xu , Jiangtao Yan , Wenhao Tang , Hongze Zhu , Yu Liu , Fudi Wang , Yiqing Shen , Yuanfeng Ji , Yanzhou Su , Tong Xie , Hongming Shan , Chun-Mei Feng , Zhi Hou , Diping Song , Lihao Liu , Yanyan Huang , Lequan Yu , Bin Fu , Shujun Wang , Xiaomeng Li , Xiaowei Hu , Yun Gu , Ben Fei , Benyou Wang , Yuewen Cao , Minjie Shen , Jie Xu , Haodong Duan , Fang Yan , Hongxia Hao , Jielan Li , Jiajun Du , Yanbo Wang , Imran Razzak , Zhongying Deng , Chi Zhang , Lijun Wu , Conghui He , Zhaohui Lu , Jinhai Huang , Wenqi Shao , Yihao Liu , Siqi Luo , Yi Xin , Xiaohong Liu , Fenghua Ling , Yuqiang Li , Aoran Wang , Siqi Sun , Qihao Zheng , Nanqing Dong , Tianfan Fu , Dongzhan Zhou , Yan Lu , Wenlong Zhang , Jin Ye , Jianfei Cai , Yirong Chen , Wanli Ouyang , Yu Qiao , Zongyuan Ge , Shixiang Tang , Junjun He , Chunfeng Song , Lei Bai , Bowen Zhou

As scientific research becomes increasingly complex, innovative tools are needed to manage vast data, facilitate interdisciplinary collaboration, and accelerate discovery. Large language models (LLMs) are now evolving into LLM-based…

Artificial Intelligence · Computer Science 2026-02-03 Shuo Ren , Can Xie , Pu Jian , Zhenjiang Ren , Chunlin Leng , Jiajun Zhang

Computing has long served as a cornerstone of scientific discovery. Recently, a paradigm shift has emerged with the rise of large language models (LLMs), introducing autonomous systems, referred to as agents, that accelerate discovery…

Large language models (LLMs) have emerged as powerful tools in chemistry, significantly impacting molecule design, property prediction, and synthesis optimization. This review highlights LLM capabilities in these domains and their potential…

Machine Learning · Computer Science 2024-11-18 Mayk Caldas Ramos , Christopher J. Collison , Andrew D. White

In many scientific fields, large language models (LLMs) have revolutionized the way text and other modalities of data (e.g., molecules and proteins) are handled, achieving superior performance in various applications and augmenting the…

Computation and Language · Computer Science 2024-10-01 Yu Zhang , Xiusi Chen , Bowen Jin , Sheng Wang , Shuiwang Ji , Wei Wang , Jiawei Han

Large language models (LLMs) are introducing a paradigm shift in molecular discovery by enabling text-guided interaction with chemical spaces through natural language, symbolic notations, with emerging extensions to incorporate multi-modal…

Machine Learning · Computer Science 2025-05-23 Ziqing Wang , Kexin Zhang , Zihan Zhao , Yibo Wen , Abhishek Pandey , Han Liu , Kaize Ding

Given the remarkable performance of Large Language Models (LLMs), an important question arises: Can LLMs conduct human-like scientific research and discover new knowledge, and act as an AI scientist? Scientific discovery is an iterative…

Machine Learning · Computer Science 2025-02-24 Tingting Chen , Srinivas Anumasa , Beibei Lin , Vedant Shah , Anirudh Goyal , Dianbo Liu

In recent years, the rapid advancement of Large Language Models (LLMs) has transformed the landscape of scientific research, offering unprecedented support across various stages of the research cycle. This paper presents the first…

Computation and Language · Computer Science 2025-01-09 Ziming Luo , Zonglin Yang , Zexin Xu , Wei Yang , Xinya Du

Large language models (LLMs) have exhibited exceptional capabilities in natural language understanding and generation, image recognition, and multimodal tasks, charting a course towards AGI and emerging as a central issue in the global…

Computation and Language · Computer Science 2025-11-20 Guoqiang Liang , Jingqian Gong , Mengxuan Li , Gege Lin , Shuo Zhang

Large language models (LLMs) are increasingly used in scientific research and discovery, supporting tasks ranging from literature retrieval and synthesis to hypothesis generation, autonomous experimentation, and research evaluation.…

Digital Libraries · Computer Science 2026-05-13 Haoxuan Zhang , Ruochi Li , Yang Zhang , Ting Xiao , Jiangping Chen , Junhua Ding , Haihua Chen

The exponential growth of text-based data in domains such as healthcare, education, and social sciences has outpaced the capacity of traditional qualitative analysis methods, which are time-intensive and prone to subjectivity. Large…

Large Language Models (LLMs) are transforming artificial intelligence, enabling autonomous agents to perform diverse tasks across various domains. These agents, proficient in human-like text comprehension and generation, have the potential…

Artificial Intelligence · Computer Science 2024-04-10 Saikat Barua

With the advent of large multimodal language models, science is now at a threshold of an AI-based technological transformation. An emerging ecosystem of models and tools aims to support researchers throughout the scientific lifecycle,…

Large language models (LLMs) are rapidly transforming materials science. This review examines recent LLM applications across the materials discovery pipeline, focusing on three key areas: mining scientific literature , predictive modelling,…

Computation and Language · Computer Science 2025-11-17 Fengxu Yang , Weitong Chen , Jack D. Evans

Large Language Models (LLMs) possess substantial reasoning capabilities and are increasingly applied to optimization tasks, particularly in synergy with evolutionary computation. However, while recent surveys have explored specific aspects…

Neural and Evolutionary Computing · Computer Science 2026-01-08 Yisong Zhang , Ran Cheng , Guoxing Yi , Kay Chen Tan

Large language models (LLMs) have ushered in a new era for processing complex information in various fields, including science. The increasing amount of scientific literature allows these models to acquire and understand scientific…

Computation and Language · Computer Science 2024-08-21 Huy Quoc To , Ming Liu , Guangyan Huang

This study analyzes the multiple functions of Large Language Models (LLMs) in transforming research and development (R&D) processes. By automating knowledge discovery, boosting hypothesis creation, integrating transdisciplinary insights,…

Computation and Language · Computer Science 2025-11-25 Raha Aghaei , Ali A. Kiaei , Mahnaz Boush , Mahan Rofoosheh , Mohammad Zavvar

The emergence of large language models (LLMs) is propelling automated scientific discovery to the next level, with LLM-based Artificial Intelligence (AI) Scientist systems now taking the lead in scientific research. Several influential…

Artificial Intelligence · Computer Science 2025-08-04 Qiujie Xie , Yixuan Weng , Minjun Zhu , Fuchen Shen , Shulin Huang , Zhen Lin , Jiahui Zhou , Zilan Mao , Zijie Yang , Linyi Yang , Jian Wu , Yue Zhang
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