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Developments in the field of Artificial Intelligence (AI), and particularly large language models (LLMs), have created a 'perfect storm' for observing 'sparks' of Artificial General Intelligence (AGI) that are spurious. Like simpler models,…

Artificial Intelligence · Computer Science 2024-06-03 Patrick Altmeyer , Andrew M. Demetriou , Antony Bartlett , Cynthia C. S. Liem

Large Language Models (LLMs) are already as persuasive as humans. However, we know very little about how they do it. This paper investigates the persuasion strategies of LLMs, comparing them with human-generated arguments. Using a dataset…

Computation and Language · Computer Science 2024-04-23 Carlos Carrasco-Farre

The rapid evolution of large language models (LLMs) and their capacity to simulate human cognition and behavior has given rise to LLM-based frameworks and tools that are evaluated and applied based on their ability to perform tasks…

Computation and Language · Computer Science 2024-12-03 Jing Yi Wang , Nicholas Sukiennik , Tong Li , Weikang Su , Qianyue Hao , Jingbo Xu , Zihan Huang , Fengli Xu , Yong Li

As large language models (LLMs) and LLM-based agents increasingly interact with humans in decision-making contexts, understanding the trust dynamics between humans and AI agents becomes a central concern. While considerable literature…

Computation and Language · Computer Science 2026-04-16 Valeria Lerman , Yaniv Dover

The use of large language models (LLMs) to simulate human behavior has gained significant attention, particularly through personas that approximate individual characteristics. Persona-based simulations hold promise for transforming…

Computation and Language · Computer Science 2025-03-24 Ang Li , Haozhe Chen , Hongseok Namkoong , Tianyi Peng

Humans align to one another in conversation -- adopting shared conventions that ease communication. We test whether LLMs form the same kinds of conventions in a multimodal communication game. Both humans and LLMs display evidence of…

Computation and Language · Computer Science 2026-02-10 Cameron R. Jones , Agnese Lombardi , Kyle Mahowald , Benjamin K. Bergen

Large Language Models (LLMs) have demonstrated exceptional capabilities in solving various tasks, progressively evolving into general-purpose assistants. The increasing integration of LLMs into society has sparked interest in whether they…

Computation and Language · Computer Science 2025-10-20 Yuan Li , Yue Huang , Hongyi Wang , Ying Cheng , Xiangliang Zhang , James Zou , Lichao Sun

Whether large language models (LLMs) process language similarly to humans has been the subject of much theoretical and practical debate. We examine this question through the lens of the production-interpretation distinction found in human…

Computation and Language · Computer Science 2025-06-04 Suet-Ying Lam , Qingcheng Zeng , Jingyi Wu , Rob Voigt

Large Language Models (LLMs) are increasingly being used to autonomously evaluate the quality of content in communication systems, e.g., to assess responses in telecom customer support chatbots. However, the impartiality of these AI…

Artificial Intelligence · Computer Science 2026-03-03 Jiaxin Gao , Chen Chen , Yanwen Jia , Xueluan Gong , Kwok-Yan Lam , Qian Wang

As Large Language Models (LLMs) become widely used to model and simulate human behavior, understanding their biases becomes critical. We developed an experimental framework using Big Five personality surveys and uncovered a previously…

Artificial Intelligence · Computer Science 2024-11-25 Aadesh Salecha , Molly E. Ireland , Shashanka Subrahmanya , João Sedoc , Lyle H. Ungar , Johannes C. Eichstaedt

With the rapid progress of Large Language Models (LLMs), the general public now has easy and affordable access to applications capable of answering most health-related questions in a personalized manner. These LLMs are increasingly proving…

Artificial Intelligence · Computer Science 2025-10-20 Emma Kondrup , Anne Imouza

Large language models (LLMs) are increasingly used to simulate human decision-making, but their intrinsic biases often diverge from real human behavior--limiting their ability to reflect population-level diversity. We address this challenge…

Computer Science and Game Theory · Computer Science 2025-08-27 Ayato Kitadai , Yusuke Fukasawa , Nariaki Nishino

Large Language Models (LLMs) offer a promising approach to enhancing Explainable AI (XAI) by transforming complex machine learning outputs into easy-to-understand narratives, making model predictions more accessible to users, and helping…

Artificial Intelligence · Computer Science 2025-04-02 Ahsan Bilal , David Ebert , Beiyu Lin

Generative AI is transforming the provision of expert services. This article uses a series of one-shot experiments to quantify the behavioral, welfare and distribution consequences of large language models (LLMs) on AI-AI, Human-Human,…

General Economics · Economics 2025-09-09 Alexander Erlei

Large Language Models (LLMs) offer promising avenues for methodological and applied innovations in survey research by using synthetic respondents to emulate human answers and behaviour, potentially mitigating measurement and representation…

Computation and Language · Computer Science 2025-09-22 Bastián González-Bustamante , Nando Verelst , Carla Cisternas

Large Language Models (LLMs) have demonstrated an alarming ability to impersonate humans in conversation, raising concerns about their potential misuse in scams and deception. Humans have a right to know if they are conversing to an LLM. We…

Computation and Language · Computer Science 2024-12-23 Gilad Gressel , Rahul Pankajakshan , Yisroel Mirsky

Large language models (LLMs) make it possible to generate synthetic behavioural data at scale, offering an ethical and low-cost alternative to human experiments. Whether such data can faithfully capture psychological differences driven by…

Computation and Language · Computer Science 2025-11-27 Manuel Pratelli , Marinella Petrocchi

The recent surge of Large Language Models (LLMs) has led to claims that they are approaching a level of creativity akin to human capabilities. This idea has sparked a blend of excitement and apprehension. However, a critical piece that has…

Computation and Language · Computer Science 2025-07-03 Antoine Bellemare-Pepin , François Lespinasse , Philipp Thölke , Yann Harel , Kory Mathewson , Jay A. Olson , Yoshua Bengio , Karim Jerbi

The rapid rise in popularity of Large Language Models (LLMs) with emerging capabilities has spurred public curiosity to evaluate and compare different LLMs, leading many researchers to propose their own LLM benchmarks. Noticing preliminary…

Artificial Intelligence · Computer Science 2025-05-15 Timothy R. McIntosh , Teo Susnjak , Nalin Arachchilage , Tong Liu , Paul Watters , Malka N. Halgamuge

Large Language Models have shown exceptional generative abilities in various natural language and generation tasks. However, possible anthropomorphization and leniency towards failure cases have propelled discussions on emergent abilities…

Robotics · Computer Science 2024-01-18 Mudit Verma , Siddhant Bhambri , Subbarao Kambhampati
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