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A concise overview is provided of selected theoretical models of communication competence in the fields of linguistics, interpersonal communication, second language use, and human-robot interaction. The following practical research…

Human-Computer Interaction · Computer Science 2025-11-06 Goran Bubas

In this study, we investigate the capabilities and inherent biases of advanced large language models (LLMs) such as GPT-3.5 and GPT-4 in the context of debate evaluation. We discover that LLM's performance exceeds humans and surpasses the…

Computation and Language · Computer Science 2024-06-05 Xinyi Liu , Pinxin Liu , Hangfeng He

Generative AI technologies such as ChatGPT, Gemini, and MidJourney have made remarkable progress in recent years. Recent literature has documented ChatGPT's positive impact on productivity in areas where it has strong expertise,…

General Economics · Economics 2024-03-05 Voraprapa Nakavachara , Tanapong Potipiti , Thanee Chaiwat

As Large Language Models (LLMs) are increasingly deployed in customer-facing applications, a critical yet underexplored question is how users communicate differently with LLM chatbots compared to human agent. In this study, we present…

Computation and Language · Computer Science 2025-10-06 Fulei Zhang , Zhou Yu

ChatGPT, an AI-based chatbot, was released to provide coherent and useful replies based on analysis of large volumes of data. In this article, leading scientists, researchers and engineers discuss the transformative effects of ChatGPT on…

Generative artificial intelligence (AI) holds enormous potential to revolutionize decision-making processes, from everyday to high-stake scenarios. By leveraging generative AI, humans can benefit from data-driven insights and predictions,…

General Economics · Economics 2024-02-19 Valerio Capraro , Roberto Di Paolo , Veronica Pizziol

In this paper, we assess the visualization literacy of two prominent Large Language Models (LLMs): OpenAI's Generative Pretrained Transformers (GPT), the backend of ChatGPT, and Google's Gemini, previously known as Bard, to establish…

Performance · Computer Science 2025-01-28 Jiayi Hong , Christian Seto , Arlen Fan , Ross Maciejewski

Large language models (LLMs) are increasingly seen as assistants, copilots, and consultants, capable of supporting a wide range of tasks through natural conversation. However, most systems remain constrained by a linear request-response…

Computation and Language · Computer Science 2026-05-05 Jiaqi Chen , Yanzhe Zhang , Yutong Zhang , Yijia Shao , Diyi Yang

Large language models (LLMs) are increasingly used in robotics, especially for high-level action planning. Meanwhile, many robotics applications involve human supervisors or collaborators. Hence, it is crucial for LLMs to generate socially…

Robotics · Computer Science 2025-05-28 Lennart Wachowiak , Andrew Coles , Oya Celiktutan , Gerard Canal

The emergence of generative artificial intelligence (GAI) and large language models (LLMs) such ChatGPT has enabled the realization of long-harbored desires in software and robotic development. The technology however, has brought with it…

ChatGPT is a publicly available chatbot that can quickly generate texts on given topics, but it is unknown whether the chatbot is really superior to human writers in all aspects of writing and whether its writing quality can be prominently…

Computation and Language · Computer Science 2023-03-22 Tongquan Zhou , Siyi Cao , Siruo Zhou , Yao Zhang , Aijing He

We compare the performance of human and artificially intelligent (AI) decision makers in simple binary classification tasks where the optimal decision rule is given by Bayes Rule. We reanalyze choices of human subjects gathered from…

General Economics · Economics 2025-04-16 Tianshi Mu , Pranjal Rawat , John Rust , Chengjun Zhang , Qixuan Zhong

Long-term life task planning is inherently complex and uncertain, yet little is known about how emerging AI systems support this process. This study investigates how people use ChatGPT for such planning tasks, focusing on user practices,…

Human-Computer Interaction · Computer Science 2025-12-15 Ben Wang , Jiqun Liu

Recent progress in artificial intelligence (AI) has renewed interest in building systems that learn and think like people. Many advances have come from using deep neural networks trained end-to-end in tasks such as object recognition, video…

Artificial Intelligence · Computer Science 2016-11-03 Brenden M. Lake , Tomer D. Ullman , Joshua B. Tenenbaum , Samuel J. Gershman

As Large-Scale Language Models (LLMs) continue to evolve, they demonstrate significant enhancements in performance and an expansion of functionalities, impacting various domains, including education. In this study, we conducted interviews…

Human-Computer Interaction · Computer Science 2024-07-18 He Zhang , Jingyi Xie , Chuhao Wu , Jie Cai , ChanMin Kim , John M. Carroll

Over the eight months since its release, ChatGPT and its underlying model, GPT3.5, have garnered massive attention, due to their potent mix of capability and accessibility. While a niche-industry of papers have emerged examining the scope…

Computation and Language · Computer Science 2024-02-07 David Bayani

Within journalistic editorial processes, disclosing AI usage is currently limited to simplistic labels, which misses the nuance of how humans and AI collaborated on a news article. Through co-design sessions (N=10), we elicited 69…

Human-Computer Interaction · Computer Science 2026-01-19 Amber Kusters , Pooja Prajod , Pablo Cesar , Abdallah El Ali

Artificial Intelligence (AI) and large language models (LLMs) are increasingly used in social and psychological research. Among potential applications, LLMs can be used to generate, customise, or adapt measurement instruments. This study…

Human-Computer Interaction · Computer Science 2026-02-16 Mario Angelelli , Morena Oliva , Serena Arima , Enrico Ciavolino

Large Language Models (LLMs) such as ChatGPT have shown remarkable abilities in producing human-like text. However, it is unclear how accurately these models internalize concepts that shape human thought and behavior. Here, we developed a…

Machine Learning · Computer Science 2025-07-01 Hiro Taiyo Hamada , Ippei Fujisawa , Genji Kawakita , Yuki Yamada

Recent advancements in AI reasoning have driven substantial improvements across diverse tasks. A critical open question is whether these improvements also yields better knowledge transfer: the ability of models to communicate reasoning in…

Artificial Intelligence · Computer Science 2025-06-10 Quan Shi , Carlos E. Jimenez , Shunyu Yao , Nick Haber , Diyi Yang , Karthik Narasimhan
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