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Large Language Models (LLMs) excel in text generation, reasoning, and decision-making, enabling their adoption in high-stakes domains such as healthcare, law, and transportation. However, their reliability is a major concern, as they often…

Computation and Language · Computer Science 2025-06-05 Xiaoou Liu , Tiejin Chen , Longchao Da , Chacha Chen , Zhen Lin , Hua Wei

Qualitative researchers use tools to collect, sort, and analyze their data. Should qualitative researchers use large language models (LLMs) as part of their practice? LLMs could augment qualitative research, but it is unclear if their use…

Human-Computer Interaction · Computer Science 2025-03-03 Hope Schroeder , Marianne Aubin Le Quéré , Casey Randazzo , David Mimno , Sarita Schoenebeck

The recent excitement around generative models has sparked a wave of proposals suggesting the replacement of human participation and labor in research and development--e.g., through surveys, experiments, and interviews--with synthetic…

Human-Computer Interaction · Computer Science 2024-10-01 Shivani Kapania , William Agnew , Motahhare Eslami , Hoda Heidari , Sarah Fox

The increasing capacities of large language models (LLMs) have been shown to present an unprecedented opportunity to scale up data analytics in the humanities and social sciences, by automating complex qualitative tasks otherwise typically…

Computation and Language · Computer Science 2024-10-22 Andres Karjus

Large language models (LLMs) have been shown to possess impressive capabilities, while also raising crucial concerns about the faithfulness of their responses. A primary issue arising in this context is the management of (un)answerable…

Computation and Language · Computer Science 2023-11-14 Aviv Slobodkin , Omer Goldman , Avi Caciularu , Ido Dagan , Shauli Ravfogel

The increasing use of Large Language Models (LLMs) as proxies for human participants in social science research presents a promising, yet methodologically risky, paradigm shift. While LLMs offer scalability and cost-efficiency, their…

Computation and Language · Computer Science 2026-02-24 Simon Münker , Nils Schwager , Kai Kugler , Michael Heseltine , Achim Rettinger

Large language model (LLM)-driven AI systems are increasingly important for autonomous decision-making in dynamic and open environments. However, most existing systems rely on predefined tasks and fixed prompts, limiting their ability to…

Artificial Intelligence · Computer Science 2026-02-03 Hong Su

Psychological assessment tools have long helped humans understand behavioural patterns. While Large Language Models (LLMs) can generate content comparable to that of humans, we explore whether they exhibit personality traits. To this end,…

Computation and Language · Computer Science 2025-02-11 Pranav Bhandari , Usman Naseem , Amitava Datta , Nicolas Fay , Mehwish Nasim

We address a not-widely-recognized subset of exploratory search, where a user sets out on a typically long "search quest" for the perfect wedding dress, overlooked research topic, killer company idea, etc. The first few outputs of current…

Computation and Language · Computer Science 2026-04-01 Queenie Luo , Gary King , Michael Puett , Michael D. Smith

From the invention of writing and the printing press, to television and social media, human history is punctuated by major innovations in communication technology, which fundamentally altered how ideas spread and reshaped our culture.…

Computers and Society · Computer Science 2025-07-09 Hiromu Yakura , Ezequiel Lopez-Lopez , Levin Brinkmann , Ignacio Serna , Prateek Gupta , Ivan Soraperra , Iyad Rahwan

The recent popularity of large language models (LLMs) has brought a significant impact to boundless fields, particularly through their open-ended ecosystem such as the APIs, open-sourced models, and plugins. However, with their widespread…

Machine Learning · Computer Science 2023-08-31 Wentao Ye , Mingfeng Ou , Tianyi Li , Yipeng chen , Xuetao Ma , Yifan Yanggong , Sai Wu , Jie Fu , Gang Chen , Haobo Wang , Junbo Zhao

This paper investigates the capabilities of Large Language Models (LLMs) in the context of understanding their knowledge and uncertainty over questions. Specifically, we focus on addressing known-unknown questions, characterized by high…

Computation and Language · Computer Science 2024-07-03 Alfonso Amayuelas , Kyle Wong , Liangming Pan , Wenhu Chen , William Wang

Public leaderboards increasingly suggest that large language models (LLMs) surpass human experts on benchmarks spanning academic knowledge, law, and programming. Yet most benchmarks are fully public, their questions widely mirrored across…

Artificial Intelligence · Computer Science 2026-03-18 Eshwar Reddy M , Sourav Karmakar

Large language models (LLMs) have rapidly shifted from peripheral assistive tools to constant companions in everyday and even high stakes human decision making. Many users now consult these models about health, intimate relationships,…

Computers and Society · Computer Science 2026-02-26 Abas Bertina , Sara Shakeri

Questions Under Discussion (QUD) is a versatile linguistic framework in which discourse progresses as continuously asking questions and answering them. Automatic parsing of a discourse to produce a QUD structure thus entails a complex…

Computation and Language · Computer Science 2023-11-03 Yating Wu , Ritika Mangla , Greg Durrett , Junyi Jessy Li

Large-scale human mobility exhibits spatial and temporal patterns that can assist policymakers in decision making. Although traditional prediction models attempt to capture these patterns, they often interfered by non-periodic public…

Machine Learning · Computer Science 2025-04-17 Xiaojie Yang , Hangli Ge , Jiawei Wang , Zipei Fan , Renhe Jiang , Ryosuke Shibasaki , Noboru Koshizuka

Simulation powered by Large Language Models (LLMs) has become a promising method for exploring complex human social behaviors. However, the application of LLMs in simulations presents significant challenges, particularly regarding their…

Computers and Society · Computer Science 2025-02-26 Qian Wang , Zhenheng Tang , Bingsheng He

Large language models (LLMs) are used by over a billion people globally, most often to assist with writing. In this work, we demonstrate that LLMs not only alter the voice and tone of human writing, but also consistently alter the intended…

Computation and Language · Computer Science 2026-03-20 Marwa Abdulhai , Isadora White , Yanming Wan , Ibrahim Qureshi , Joel Leibo , Max Kleiman-Weiner , Natasha Jaques

Large Language Models (LLMs), which simulate human users, are frequently employed to evaluate chatbots in applications such as tutoring and customer service. Effective evaluation necessitates a high degree of human-like diversity within…

Computation and Language · Computer Science 2024-09-04 Xiaoyu Lin , Xinkai Yu , Ankit Aich , Salvatore Giorgi , Lyle Ungar

Large Language Models (LLMs) have demonstrated human-like capabilities in language comprehension and generation, becoming active participants in social and cognitive domains. This study investigates whether LLMs exhibit personality-like…

Computation and Language · Computer Science 2025-05-22 Wang Jiaqi , Wang bo , Guo fa , Cheng cheng , Yang li