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Large Language Models (LLMs) have revolutionized human-AI interaction by enabling intuitive task execution through natural language prompts. Despite their potential, designing effective prompts remains a significant challenge, as small…

Software Engineering · Computer Science 2025-04-08 Yuetian Mao , Junjie He , Chunyang Chen

As generative artificial intelligence advances, Large Language Models (LLMs) are being explored for automated graphical user interface (GUI) design. This study investigates the usability and adaptability of LLM-generated interfaces by…

Human-Computer Interaction · Computer Science 2026-02-02 Bartosz Sawicki , Tomasz Les , Dariusz Parzych , Aleksandra Wycisk-Ficek , Pawel Trebacz , Pawel Zawadzki

ChatGPT has drawn considerable attention from both the general public and domain experts with its remarkable text generation capabilities. This has subsequently led to the emergence of diverse applications in the field of biomedicine and…

Large Language Models (LLMs) have revolutionised the field of Natural Language Processing (NLP) and have achieved state-of-the-art performance in practically every task in this field. However, the prevalent approach used in text generation,…

Computation and Language · Computer Science 2024-08-12 Nicolo Micheletti , Samuel Belkadi , Lifeng Han , Goran Nenadic

Conversational agents have made significant progress since ELIZA, expanding their role across various domains, including healthcare, education, and customer service. As these agents become increasingly integrated into daily human…

Human-Computer Interaction · Computer Science 2025-07-04 Paulo Ricardo Knob , Leonardo Scholler , Juliano Rigatti , Soraia Raupp Musse

The use of large language model (LLM)-powered chatbots, such as ChatGPT, has become popular across various domains, supporting a range of tasks and processes. However, due to the intrinsic complexity of LLMs, effective prompting is more…

Solving complicated AI tasks with different domains and modalities is a key step toward artificial general intelligence. While there are numerous AI models available for various domains and modalities, they cannot handle complicated AI…

Computation and Language · Computer Science 2023-12-05 Yongliang Shen , Kaitao Song , Xu Tan , Dongsheng Li , Weiming Lu , Yueting Zhuang

Large language models (LLMs) can capture rich representations of concepts that are useful for real-world tasks. However, language alone is limited. While existing LLMs excel at text-based inferences, health applications require that models…

Computation and Language · Computer Science 2023-05-26 Xin Liu , Daniel McDuff , Geza Kovacs , Isaac Galatzer-Levy , Jacob Sunshine , Jiening Zhan , Ming-Zher Poh , Shun Liao , Paolo Di Achille , Shwetak Patel

Large language models (LLMs) are now accessible to anyone with a computer, a web browser, and an internet connection via browser-based interfaces, shifting the dynamics of participation in AI development. This article examines how…

Human-Computer Interaction · Computer Science 2025-10-31 Ned Cooper , Alexandra Zafiroglu

Large language models (LLMs) are trained on vast amounts of data to generate natural language, enabling them to perform tasks like text summarization and question answering. These models have become popular in artificial intelligence (AI)…

Emotional intelligence significantly impacts our daily behaviors and interactions. Although Large Language Models (LLMs) are increasingly viewed as a stride toward artificial general intelligence, exhibiting impressive performance in…

Computation and Language · Computer Science 2023-11-14 Cheng Li , Jindong Wang , Yixuan Zhang , Kaijie Zhu , Wenxin Hou , Jianxun Lian , Fang Luo , Qiang Yang , Xing Xie

Generative Large Language Models (gLLMs), such as ChatGPT, are increasingly being used in communication research for content analysis. Studies show that gLLMs can outperform both crowd workers and trained coders, such as research…

Artificial Intelligence · Computer Science 2025-10-29 Daria Kravets-Meinke , Hannah Schmid-Petri , Sonja Niemann , Ute Schmid

The landscape of education is changing rapidly, shaped by emerging pedagogical approaches, technological innovations such as artificial intelligence (AI), and evolving societal expectations, all of which demand thorough evaluation of new…

Computers and Society · Computer Science 2026-03-19 Fiammetta Caccavale , Carina L. Gargalo , Julian Kager , Magdalena Skowyra , Steen Larsen , Krist V. Gernaey , Ulrich Krühne

Large language models (LLMs) such as ChatGPT have received immense interest for their general-purpose language understanding and, in particular, their ability to generate high-quality text or computer code. For many professions, LLMs…

Computation and Language · Computer Science 2024-04-03 Simon Frieder , Julius Berner , Philipp Petersen , Thomas Lukasiewicz

Generative AI models provide a wide range of tools capable of performing complex tasks in a fraction of the time it would take a human. Among these, Large Language Models (LLMs) stand out for their ability to generate diverse texts, from…

Computation and Language · Computer Science 2024-10-07 Baldomero R. Árbol , Dan Casas

Predicting human daily behavior is challenging due to the complexity of routine patterns and short-term fluctuations. While data-driven models have improved behavior prediction by leveraging empirical data from various platforms and…

Machine Learning · Computer Science 2025-05-26 Haoxin Li , Jingtao Ding , Jiahui Gong , Yong Li

This study investigates the capacity of Large Language Models (LLMs) to infer the Big Five personality traits from free-form user interactions. The results demonstrate that a chatbot powered by GPT-4 can infer personality with moderate…

Human-Computer Interaction · Computer Science 2024-05-24 Heinrich Peters , Moran Cerf , Sandra C. Matz

The widespread adoption of Large Language Models (LLMs) and publicly available ChatGPT have marked a significant turning point in the integration of Artificial Intelligence (AI) into people's everyday lives. This study examines the ability…

Computation and Language · Computer Science 2025-10-28 Sandeep Kumar , Tirthankar Ghosal , Vinayak Goyal , Asif Ekbal

Large Language Models (LLMs) have emerged as influential instruments within the realm of natural language processing; nevertheless, their capacity to handle multi-party conversations (MPCs) -- a scenario marked by the presence of multiple…

Computation and Language · Computer Science 2023-10-26 Chao-Hong Tan , Jia-Chen Gu , Zhen-Hua Ling

Large language models (LLMs) have achieved great success in many fields, and recent works have studied exploring LLMs for graph discriminative tasks such as node classification. However, the abilities of LLMs for graph generation remain…

Machine Learning · Computer Science 2024-03-22 Yang Yao , Xin Wang , Zeyang Zhang , Yijian Qin , Ziwei Zhang , Xu Chu , Yuekui Yang , Wenwu Zhu , Hong Mei