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Large language models (LLMs) such as ChatGPT and GPT-4 have recently demonstrated their remarkable abilities of communicating with human users. In this technical report, we take an initiative to investigate their capacities of playing text…

Computation and Language · Computer Science 2025-04-01 Chen Feng Tsai , Xiaochen Zhou , Sierra S. Liu , Jing Li , Mo Yu , Hongyuan Mei

Recent work has proposed a methodology for the systematic evaluation of "Situated Language Understanding Agents"-agents that operate in rich linguistic and non-linguistic contexts-through testing them in carefully constructed interactive…

Computation and Language · Computer Science 2023-11-27 Kranti Chalamalasetti , Jana Götze , Sherzod Hakimov , Brielen Madureira , Philipp Sadler , David Schlangen

Strategic reasoning enables agents to cooperate, communicate, and compete with other agents in diverse situations. Existing approaches to solving strategic games rely on extensive training, yielding strategies that do not generalize to new…

Artificial Intelligence · Computer Science 2023-05-31 Kanishk Gandhi , Dorsa Sadigh , Noah D. Goodman

Word games hold significant research value for natural language processing (NLP), game theory, and related fields due to their rule-based and situational nature. This study explores how large language models (LLMs) can be effectively…

Computation and Language · Computer Science 2025-03-20 Chentian Wei , Jiewei Chen , Jinzhu Xu

Large language models (LLMs) hold interesting potential for the design, development, and research of video games. Building on the decades of prior research on generative AI in games, many researchers have sped to investigate the power and…

Human-Computer Interaction · Computer Science 2024-03-06 Penny Sweetser

As the performance of larger, newer Large Language Models continues to improve for strategic Theory of Mind (ToM) tasks, the demand for these state-of-the-art models increases commensurately. However, their deployment is costly both in…

Computation and Language · Computer Science 2024-11-01 Nunzio Lore , Sepehr Ilami , Babak Heydari

Large language models (LLMs) have taken the scientific world by storm, changing the landscape of natural language processing and human-computer interaction. These powerful tools can answer complex questions and, surprisingly, perform…

Artificial Intelligence · Computer Science 2023-11-14 Pier Luca Lanzi , Daniele Loiacono

Wargames are simulations of conflicts in which participants' decisions influence future events. While casual wargaming can be used for entertainment or socialization, serious wargaming is used by experts to explore strategic implications of…

Artificial Intelligence · Computer Science 2025-10-24 Glenn Matlin , Parv Mahajan , Isaac Song , Yixiong Hao , Ryan Bard , Stu Topp , Evan Montoya , M. Rehan Parwani , Soham Shetty , Mark Riedl

The emergence of Large Language Models (LLMs) presents a dual challenge in the fight against disinformation. These powerful tools, capable of generating human-like text at scale, can be weaponised to produce sophisticated and persuasive…

Game environments provide rich, controllable settings that stimulate many aspects of real-world complexity. As such, game agents offer a valuable testbed for exploring capabilities relevant to Artificial General Intelligence. Recently, the…

Artificial Intelligence · Computer Science 2025-11-05 Sihao Hu , Tiansheng Huang , Gaowen Liu , Ramana Rao Kompella , Fatih Ilhan , Selim Furkan Tekin , Yichang Xu , Zachary Yahn , Ling Liu

Strategic decision-making in multi-agent settings is a key challenge for large language models (LLMs), particularly when coordination and negotiation must unfold over extended conversations. While recent work has explored the use of LLMs in…

Computation and Language · Computer Science 2026-01-26 Victor Conchello Vendrell , Max Ruiz Luyten , Mihaela van der Schaar

Large Language Models (LLMs) have advanced the capability of game agents in social deduction games (SDGs). These games rely heavily on conversation-driven interactions and require agents to infer, make decisions, and express based on such…

Artificial Intelligence · Computer Science 2025-01-14 Zheng Zhang , Yihuai Lan , Yangsen Chen , Lei Wang , Xiang Wang , Hao Wang

This pilot study explores the application of language models (LMs) to model game event sequences, treating them as a customized natural language. We investigate a popular mobile game, transforming raw event data into textual sequences and…

Game theory has long served as a foundational tool in cybersecurity to test, predict, and design strategic interactions between attackers and defenders. The recent advent of Large Language Models (LLMs) offers new tools and challenges for…

Cryptography and Security · Computer Science 2026-02-19 Daniele Proverbio , Alessio Buscemi , Alessandro Di Stefano , The Anh Han , German Castignani , Pietro Liò

By formally defining the training processes of large language models (LLMs), which usually encompasses pre-training, supervised fine-tuning, and reinforcement learning with human feedback, within a single and unified machine learning…

Computation and Language · Computer Science 2024-02-14 Yang Liu , Peng Sun , Hang Li

Large Language Models' (LLMs) programming capabilities enable their participation in open-source games: a game-theoretic setting in which players submit computer programs in lieu of actions. These programs offer numerous advantages,…

Computer Science and Game Theory · Computer Science 2025-12-02 Swadesh Sistla , Max Kleiman-Weiner

Large Vision Language Models (LVLMs) have demonstrated remarkable abilities in understanding and reasoning about both visual and textual information. However, existing evaluation methods for LVLMs, primarily based on benchmarks like Visual…

Computer Vision and Pattern Recognition · Computer Science 2025-03-05 Xinyu Wang , Bohan Zhuang , Qi Wu

As Large Language Models (LLMs) are integrated into critical real-world applications, their strategic and logical reasoning abilities are increasingly crucial. This paper evaluates LLMs' reasoning abilities in competitive environments…

Computation and Language · Computer Science 2024-06-11 Jinhao Duan , Renming Zhang , James Diffenderfer , Bhavya Kailkhura , Lichao Sun , Elias Stengel-Eskin , Mohit Bansal , Tianlong Chen , Kaidi Xu

The deployment of large language models (LLMs) in diverse applications requires a thorough understanding of their decision-making strategies and behavioral patterns. As a supplement to a recent study on the behavioral Turing test, this…

Artificial Intelligence · Computer Science 2024-12-18 Yutong Xie , Yiyao Liu , Zhuang Ma , Lin Shi , Xiyuan Wang , Walter Yuan , Matthew O. Jackson , Qiaozhu Mei

Game theory is a powerful framework for reasoning about strategic interactions, with applications in domains ranging from day-to-day life to international politics. However, applying formal reasoning tools in such contexts is challenging,…

Artificial Intelligence · Computer Science 2024-10-15 Agnieszka Mensfelt , Kostas Stathis , Vince Trencsenyi