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Achieving consensus in group decision-making often involves overcoming significant challenges, particularly in reconciling diverse perspectives and mitigating biases that hinder agreement. Traditional methods relying on human facilitators…

Human-Computer Interaction · Computer Science 2025-03-21 Loukas Triantafyllopoulos , Dimitris Kalles

We investigate the role of large language models (LLMs) in supporting mental health by analyzing Reddit posts and comments about mental health conversations with ChatGPT. Our findings reveal that users value ChatGPT as a safe,…

Human-Computer Interaction · Computer Science 2025-10-28 Kyuha Jung , Gyuho Lee , Yuanhui Huang , Yunan Chen

Large language models (LLMs) demonstrate outstanding capabilities, but challenges remain regarding their ability to solve complex reasoning tasks, as well as their transparency, robustness, truthfulness, and ethical alignment. In this…

Computers and Society · Computer Science 2023-12-19 Konstantin Hebenstreit , Robert Praas , Matthias Samwald

Should LLMs generate language that makes them seem human? Human-like language might improve user experience, but might also lead to deception, overreliance, and stereotyping. Assessing these potential impacts requires a systematic way to…

Computation and Language · Computer Science 2025-06-03 Myra Cheng , Sunny Yu , Dan Jurafsky

Despite the increasing use of large language models (LLMs) in everyday life among neurodivergent individuals, our knowledge of how they engage with, and perceive LLMs remains limited. In this study, we investigate how neurodivergent…

Human-Computer Interaction · Computer Science 2024-10-10 Buse Carik , Kaike Ping , Xiaohan Ding , Eugenia H. Rho

People experiencing severe distress increasingly use Large Language Model (LLM) chatbots as mental health support tools. Discussions on social media have described how engagements were lifesaving for some, but evidence suggests that…

Human-Computer Interaction · Computer Science 2025-05-12 Inhwa Song , Sachin R. Pendse , Neha Kumar , Munmun De Choudhury

Code comment generation aims at generating natural language descriptions for a code snippet to facilitate developers' program comprehension activities. Despite being studied for a long time, a bottleneck for existing approaches is that…

Software Engineering · Computer Science 2023-06-16 Mingyang Geng , Shangwen Wang , Dezun Dong , Haotian Wang , Ge Li , Zhi Jin , Xiaoguang Mao , Xiangke Liao

Artificial intelligence has, so far, largely automated routine tasks, but what does it mean for the future of work if Large Language Models (LLMs) show creativity comparable to humans? To measure the creativity of LLMs holistically, the…

Artificial Intelligence · Computer Science 2025-05-22 Luning Sun , Yuzhuo Yuan , Yuan Yao , Yanyan Li , Hao Zhang , Xing Xie , Xiting Wang , Fang Luo , David Stillwell

Large Language Models (LLMs) represent a leap in artificial intelligence, excelling in tasks using human language(s). Although the main focus of general-purpose LLMs is not code generation, they have shown promising results in the domain.…

Software Engineering · Computer Science 2024-01-30 Sanka Rasnayaka , Guanlin Wang , Ridwan Shariffdeen , Ganesh Neelakanta Iyer

Warning: This research studies AI persuasion and bias amplification that could be misused; all experiments are for safety evaluation. Large Language Models (LLMs) now generate convincing, human-like text and are widely used in content…

Computation and Language · Computer Science 2025-08-25 Saumya Roy

Large Language Models (LLMs) have become increasingly incorporated into everyday life for many internet users, taking on significant roles as advice givers in the domains of medicine, personal relationships, and even legal matters. The…

Computation and Language · Computer Science 2025-10-17 Nicole Smith-Vaniz , Harper Lyon , Lorraine Steigner , Ben Armstrong , Nicholas Mattei

Peer review is essential for maintaining academic quality, but the increasing volume of submissions places a significant burden on reviewers. Large language models (LLMs) offer potential assistance in this process, yet their susceptibility…

Computation and Language · Computer Science 2025-10-10 Tzu-Ling Lin , Wei-Chih Chen , Teng-Fang Hsiao , Hou-I Liu , Ya-Hsin Yeh , Yu Kai Chan , Wen-Sheng Lien , Po-Yen Kuo , Philip S. Yu , Hong-Han Shuai

Improvements in model construction, including fortified safety guardrails, allow Large language models (LLMs) to increasingly pass standard safety checks. However, LLMs sometimes slip into revealing harmful behavior, such as expressing…

Computation and Language · Computer Science 2025-10-14 Nafiseh Nikeghbal , Amir Hossein Kargaran , Jana Diesner

Large Language Models have been demonstrating broadly satisfactory generative abilities for users, which seems to be due to the intensive use of human feedback that refines responses. Nevertheless, suggestibility inherited via human…

Computation and Language · Computer Science 2025-06-26 Leonardo Ranaldi , Giulia Pucci

Counterspeech is a targeted response to counteract and challenge abusive or hateful content. It effectively curbs the spread of hatred and fosters constructive online communication. Previous studies have proposed different strategies for…

Computation and Language · Computer Science 2025-01-29 Xiaoying Song , Sujana Mamidisetty , Eduardo Blanco , Lingzi Hong

Collecting diverse human opinions is costly and challenging. This leads to a recent trend in exploiting large language models (LLMs) for generating diverse data for potential scalable and efficient solutions. However, the extent to which…

Computation and Language · Computer Science 2024-10-15 Shirley Anugrah Hayati , Minhwa Lee , Dheeraj Rajagopal , Dongyeop Kang

Recent research has focused on using large language models (LLMs) to generate explanations for hate speech through fine-tuning or prompting. Despite the growing interest in this area, these generated explanations' effectiveness and…

Computation and Language · Computer Science 2023-08-31 Han Wang , Ming Shan Hee , Md Rabiul Awal , Kenny Tsu Wei Choo , Roy Ka-Wei Lee

Large language models (LLMs) are increasingly used to model human social behavior, with recent research exploring their ability to simulate social dynamics. Here, we test whether LLMs mirror human behavior in social dilemmas, where…

Social and Information Networks · Computer Science 2024-11-18 Jin Han , Balaraju Battu , Ivan Romić , Talal Rahwan , Petter Holme

Large Language Models (LLMs) are becoming vital tools that help us solve and understand complex problems by acting as digital assistants. LLMs can generate convincing explanations, even when only given the inputs and outputs of these…

Computation and Language · Computer Science 2024-10-14 Rohan Ajwani , Shashidhar Reddy Javaji , Frank Rudzicz , Zining Zhu

The advent of Large Language Models (LLMs) started a serious discussion among educators on how LLMs would affect, e.g., curricula, assessments, and students' competencies. Generative AI and LLMs also raised ethical questions and concerns…

Computers and Society · Computer Science 2024-06-19 Virginia Grande , Natalie Kiesler , Maria Andreina Francisco R