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Large language models (LLMs) enable researchers to analyze text at unprecedented scale and minimal cost. Researchers can now revisit old questions and tackle novel ones with rich data. We provide an econometric framework for realizing this…

Econometrics · Economics 2025-12-08 Jens Ludwig , Sendhil Mullainathan , Ashesh Rambachan

Large language models (LLMs) have been positioned to revolutionize HCI, by reshaping not only the interfaces, design patterns, and sociotechnical systems that we study, but also the research practices we use. To-date, however, there has…

Human-Computer Interaction · Computer Science 2025-01-23 Rock Yuren Pang , Hope Schroeder , Kynnedy Simone Smith , Solon Barocas , Ziang Xiao , Emily Tseng , Danielle Bragg

Despite the dramatic progress in Large Language Model (LLM) development, LLMs often provide seemingly plausible but not factual information, often referred to as hallucinations. Retrieval-augmented LLMs provide a non-parametric approach to…

Computation and Language · Computer Science 2023-11-09 Sai Munikoti , Anurag Acharya , Sridevi Wagle , Sameera Horawalavithana

The planning ability of Large Language Models (LLMs) has garnered increasing attention in recent years due to their remarkable capacity for multi-step reasoning and their ability to generalize across a wide range of domains. While some…

Artificial Intelligence · Computer Science 2025-02-19 Mohamed Aghzal , Erion Plaku , Gregory J. Stein , Ziyu Yao

Large Language Models (LLMs) are transforming the way people generate, explore, and engage with content. We study how we can develop LLM applications for online social networks. Despite LLMs' successes in other domains, it is challenging to…

Social and Information Networks · Computer Science 2024-01-08 Jingying Zeng , Richard Huang , Waleed Malik , Langxuan Yin , Bojan Babic , Danny Shacham , Xiao Yan , Jaewon Yang , Qi He

Large Language Models (LLMs) are capable of successfully performing many language processing tasks zero-shot (without training data). If zero-shot LLMs can also reliably classify and explain social phenomena like persuasiveness and…

Computation and Language · Computer Science 2024-02-27 Caleb Ziems , William Held , Omar Shaikh , Jiaao Chen , Zhehao Zhang , Diyi Yang

This research investigates the application of Large Language Models (LLMs) to augment conversational agents in process mining, aiming to tackle its inherent complexity and diverse skill requirements. While LLM advancements present novel…

Artificial Intelligence · Computer Science 2023-07-20 Urszula Jessen , Michal Sroka , Dirk Fahland

Large Language Models (LLMs) stand at the forefront of a number of Natural Language Processing (NLP) tasks. Despite the widespread adoption of LLMs in NLP, much of their potential in broader fields remains largely unexplored, and…

Machine Learning · Computer Science 2024-03-11 Zhiqiang Zhong , Kuangyu Zhou , Davide Mottin

Large language models (LLMs) have emerged as transformative tools in medicine, with strong capabilities in language understanding, reasoning, and structured information extraction. Radiation oncology is particularly well suited for LLM…

Large language models (LLMs) offer emerging opportunities for psychological and behavioral research, but methodological guidance is lacking. This article provides a framework for using LLMs as psychological simulators across two primary…

Computers and Society · Computer Science 2026-04-07 Zhicheng Lin

Language is essentially a complex, intricate system of human expressions governed by grammatical rules. It poses a significant challenge to develop capable AI algorithms for comprehending and grasping a language. As a major approach,…

We provide an overview of the emergence of large language models for scientific computing applications. We highlight use cases that involve natural language processing of scientific documents and specialized languages designed to describe…

Computation and Language · Computer Science 2024-06-12 Christopher Culver , Peter Hicks , Mihailo Milenkovic , Sanjif Shanmugavelu , Tobias Becker

Large Language Models (LLMs) represent a major step toward artificial general intelligence, significantly advancing our ability to interact with technology. While LLMs perform well on Natural Language Processing tasks -- such as…

Computation and Language · Computer Science 2025-05-15 Brandon Smith , Mohamed Reda Bouadjenek , Tahsin Alamgir Kheya , Phillip Dawson , Sunil Aryal

Large language models (LLMs) exhibit superior performance on various natural language tasks, but they are susceptible to issues stemming from outdated data and domain-specific limitations. In order to address these challenges, researchers…

Computation and Language · Computer Science 2024-10-24 Zhangyin Feng , Weitao Ma , Weijiang Yu , Lei Huang , Haotian Wang , Qianglong Chen , Weihua Peng , Xiaocheng Feng , Bing Qin , Ting liu

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

Large Language Models (LLMs) are catalyzing a paradigm shift in scientific discovery, evolving from task-specific automation tools into increasingly autonomous agents and fundamentally redefining research processes and human-AI…

Computation and Language · Computer Science 2025-09-18 Tianshi Zheng , Zheye Deng , Hong Ting Tsang , Weiqi Wang , Jiaxin Bai , Zihao Wang , Yangqiu Song

This paper examines the opportunities, limitations, and practical considerations associated with the use of large language models (LLMs) in qualitative research. Drawing on a multidisciplinary perspective that combines expertise in…

Human-Computer Interaction · Computer Science 2026-05-19 Henry Salgado , Meagan R. Kendall , Martine Ceberio , Alexandra Coso Strong

Large Language Models (LLMs) are increasingly applied in the fields of mechanical engineering and materials science. As models that establish connections through the interface of language, LLMs can be applied for step-wise reasoning through…

Applied Physics · Physics 2025-07-22 Adrian Ehrenhofer , Thomas Wallmersperger , Gianaurelio Cuniberti

The utilization of large language models (LLMs) in the Healthcare domain has generated both excitement and concern due to their ability to effectively respond to freetext queries with certain professional knowledge. This survey outlines the…

Computation and Language · Computer Science 2025-01-28 Kai He , Rui Mao , Qika Lin , Yucheng Ruan , Xiang Lan , Mengling Feng , Erik Cambria