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Large Language Models (LLMs) have emerged as transformative tools in artificial intelligence (AI), exhibiting remarkable capabilities across diverse tasks such as text generation, reasoning, and decision-making. While their success has…

This chapter examines the conceptual tensions in understanding artificial intelligence (AI) agents' role in creative processes, particularly focusing on Large Language Models (LLMs). Building upon Schmidt's 1954 categorization of…

Human-Computer Interaction · Computer Science 2025-01-28 Yuqian Sun , Stefano Gualeni

Large Language Models (LLMs) are rapidly reshaping scientific research. We analyze these changes in multiple, large-scale datasets with 2.1M preprints, 28K peer review reports, and 246M online accesses to scientific documents. We find: 1)…

Digital Libraries · Computer Science 2026-01-21 Keigo Kusumegi , Xinyu Yang , Paul Ginsparg , Mathijs de Vaan , Toby Stuart , Yian Yin

A Language Model is a term that encompasses various types of models designed to understand and generate human communication. Large Language Models (LLMs) have gained significant attention due to their ability to process text with human-like…

Computation and Language · Computer Science 2024-06-12 Sylvio Barbon Junior , Paolo Ceravolo , Sven Groppe , Mustafa Jarrar , Samira Maghool , Florence Sèdes , Soror Sahri , Maurice Van Keulen

This paper proposes a novel framework for understanding large language models (LLMs) by reconceptualizing them as semiotic machines rather than as imitations of human cognition. Drawing from structuralist and post-structuralist theories of…

Artificial Intelligence · Computer Science 2024-10-18 Elad Vromen

Humans interact with the environment using a combination of perception - transforming sensory inputs from their environment into symbols, and cognition - mapping symbols to knowledge about the environment for supporting abstraction,…

Artificial Intelligence · Computer Science 2023-11-07 Amit Sheth , Kaushik Roy , Manas Gaur

This paper explores the implications of universities' rapid adoption of large language models (LLMs) for studying, teaching, and research by analyzing the logics underpinning their representation space. It argues that by uncritically…

Computers and Society · Computer Science 2025-05-07 Katia Schwerzmann

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,…

In this paper, we conduct a critical review of existing theories and frameworks on human-human collaborative writing to assess their relevance to the current human-AI paradigm in organizational workplace settings, and draw seven insights…

Human-Computer Interaction · Computer Science 2025-09-25 Daisuke Yukita , Tim Miller , Joel Mackenzie

The rapid integration of large language models (LLMs) into everyday workflows has transformed how individuals perform cognitive tasks such as writing, programming, analysis, and multilingual communication. While prior research has focused…

Artificial Intelligence · Computer Science 2026-04-29 Hyunwoo Kim , Harin Yu , Hanau Yi

Artificial Intelligence is moving from models that only generate text to Agentic AI, where systems behave as autonomous entities that can perceive, reason, plan, and act. Large Language Models (LLMs) are no longer used only as passive…

Artificial Intelligence · Computer Science 2026-01-21 Arunkumar V , Gangadharan G. R. , Rajkumar Buyya

Large Language Models (LLMs) have revolutionized natural language processing by generating human-like text and images from textual input. However, their potential to generate complex 2D/3D visualizations has been largely unexplored. We…

Software Engineering · Computer Science 2023-05-12 Hans-Georg Fill , Fabian Muff

The development of large language models (LLMs) capable of following instructions and engaging in conversational interactions sparked increased interest in their utilization across various support tools. We investigate the utility of modern…

Human-Computer Interaction · Computer Science 2024-01-31 Tuhin Chakrabarty , Vishakh Padmakumar , Faeze Brahman , Smaranda Muresan

Writing well requires not only expressing ideas but also refining them through revision, a process facilitated by reflection. Prior research suggests that feedback delivered through dialogues, such as those in writing center tutoring…

Human-Computer Interaction · Computer Science 2025-04-14 Jiho Kim , Philippe Laban , Xiang 'Anthony' Chen , Kenneth C. Arnold

LLMs can act as an impartial other, drawing on vast knowledge, or as personalized self-reflecting user prompts. These personalized LLMs, or Digital Humans, occupy an intermediate position between self and other. This research explores the…

Human-Computer Interaction · Computer Science 2025-11-18 Ichiro Matsuda , Komichi Takezawa , Katsuhito Muroi , Kensuke Katori , Ryosuke Hyakuta , Jingjing Li , Yoichi Ochiai

When Artificial Intelligence (AI) is used to replace consumers (e.g., synthetic data), it is often assumed that AI emulates established consumers, and more generally human behaviors. Ten experiments with Large Language Models (LLMs)…

Human-Computer Interaction · Computer Science 2025-10-10 Antonios Stamatogiannakis , Arsham Ghodsinia , Sepehr Etminanrad , Dilney Gonçalves , David Santos

The birth and rapid development of large language models (LLMs) have caused quite a stir in the field of literature. Once considered unattainable, AI's role in literary creation is increasingly becoming a reality. In genres such as poetry,…

Computation and Language · Computer Science 2024-09-12 Cheng Zhao , Bin Wang , Zhen Wang

Large language models (LLMs) show increasingly advanced emergent capabilities and are being incorporated across various societal domains. Understanding their behavior and reasoning abilities therefore holds significant importance. We argue…

Computation and Language · Computer Science 2024-08-09 Thilo Hagendorff , Ishita Dasgupta , Marcel Binz , Stephanie C. Y. Chan , Andrew Lampinen , Jane X. Wang , Zeynep Akata , Eric Schulz

Theory based AI research has had a hard time recently and the aim here is to propose a model of what LLMs are actually doing when they impress us with their language skills. The model integrates three established theories of human…

Computation and Language · Computer Science 2025-08-01 Peter Wallis

Large language models (LLMs) have exhibited exceptional capabilities in natural language understanding and generation, image recognition, and multimodal tasks, charting a course towards AGI and emerging as a central issue in the global…

Computation and Language · Computer Science 2025-11-20 Guoqiang Liang , Jingqian Gong , Mengxuan Li , Gege Lin , Shuo Zhang