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Related papers: A Survey on Human-Centric LLMs

200 papers

Large Language Models (LLMs) have achieved remarkable success across a wide array of tasks. Due to the impressive planning and reasoning abilities of LLMs, they have been used as autonomous agents to do many tasks automatically. Recently,…

Computation and Language · Computer Science 2024-04-22 Taicheng Guo , Xiuying Chen , Yaqi Wang , Ruidi Chang , Shichao Pei , Nitesh V. Chawla , Olaf Wiest , Xiangliang Zhang

Users of Large Language Models (LLMs) often perceive these models as intelligent entities with human-like capabilities. However, the extent to which LLMs' capabilities truly approximate human abilities remains a topic of debate. In this…

Computation and Language · Computer Science 2025-04-18 Mingrui Zan , Yunquan Zhang , Boyang Zhang , Fangming Liu , Daning Cheng

Motivated by the remarkable progress of large language models (LLMs) in objective tasks like mathematics and coding, there is growing interest in their potential to simulate human behavior--a capability with profound implications for…

Computation and Language · Computer Science 2026-01-23 Yuxuan Lei , Tianfu Wang , Jianxun Lian , Zhengyu Hu , Defu Lian , Xing Xie

In recent years, evaluating the Theory of Mind (ToM) capabilities of large language models (LLMs) has received significant attention within the research community. As the field rapidly evolves, navigating the diverse approaches and…

Computation and Language · Computer Science 2025-02-14 Karahan Sarıtaş , Kıvanç Tezören , Yavuz Durmazkeser

Large language models (LLMs) are increasingly used to simulate human behavior in social settings such as legal mediation, negotiation, and dispute resolution. However, it remains unclear whether these simulations reproduce the…

Artificial Intelligence · Computer Science 2026-02-10 Deuksin Kwon , Kaleen Shrestha , Bin Han , Spencer Lin , James Hale , Jonathan Gratch , Maja Matarić , Gale M. Lucas

State of the art large language models (LLMs) have shown impressive performance on a variety of benchmark tasks and are increasingly used as components in larger applications, where LLM-based predictions serve as proxies for human…

Computation and Language · Computer Science 2024-06-14 Michael Franke , Polina Tsvilodub , Fausto Carcassi

Large Language Models (LLMs) have recently demonstrated remarkable capabilities in natural language processing tasks and beyond. This success of LLMs has led to a large influx of research contributions in this direction. These works…

Computation and Language · Computer Science 2024-10-18 Humza Naveed , Asad Ullah Khan , Shi Qiu , Muhammad Saqib , Saeed Anwar , Muhammad Usman , Naveed Akhtar , Nick Barnes , Ajmal Mian

Large language models (LLMs) are gaining increasing popularity in both academia and industry, owing to their unprecedented performance in various applications. As LLMs continue to play a vital role in both research and daily use, their…

Computation and Language · Computer Science 2024-01-01 Yupeng Chang , Xu Wang , Jindong Wang , Yuan Wu , Linyi Yang , Kaijie Zhu , Hao Chen , Xiaoyuan Yi , Cunxiang Wang , Yidong Wang , Wei Ye , Yue Zhang , Yi Chang , Philip S. Yu , Qiang Yang , Xing Xie

The rapid development of Large Language Models (LLMs) demonstrates remarkable multilingual capabilities in natural language processing, attracting global attention in both academia and industry. To mitigate potential discrimination and…

Computation and Language · Computer Science 2025-01-08 Kaiyu Huang , Fengran Mo , Xinyu Zhang , Hongliang Li , You Li , Yuanchi Zhang , Weijian Yi , Yulong Mao , Jinchen Liu , Yuzhuang Xu , Jinan Xu , Jian-Yun Nie , Yang Liu

This paper delves into the dynamic landscape of artificial intelligence, specifically focusing on the burgeoning prominence of large language models (LLMs). We underscore the pivotal role of Reinforcement Learning from Human Feedback (RLHF)…

Computers and Society · Computer Science 2024-03-18 Dana Alsagheer , Rabimba Karanjai , Nour Diallo , Weidong Shi , Yang Lu , Suha Beydoun , Qiaoning Zhang

There have been rapid advancements in the capabilities of large language models (LLMs) in recent years, greatly revolutionizing the field of natural language processing (NLP) and artificial intelligence (AI) to understand and interact with…

Computation and Language · Computer Science 2024-09-26 Zeyneb N. Kaya , Souvick Ghosh

This paper provides a comprehensive survey of the latest research on multilingual large language models (MLLMs). MLLMs not only are able to understand and generate language across linguistic boundaries, but also represent an important…

Computation and Language · Computer Science 2024-11-20 Shaolin Zhu , Supryadi , Shaoyang Xu , Haoran Sun , Leiyu Pan , Menglong Cui , Jiangcun Du , Renren Jin , António Branco , Deyi Xiong

Large language models (LLMs) have brought breakthroughs in tasks including translation, summarization, information retrieval, and language generation, gaining growing interest in the CHI community. Meanwhile, the literature shows…

Human-Computer Interaction · Computer Science 2024-03-05 Lu Wang , Max Song , Rezvaneh Rezapour , Bum Chul Kwon , Jina Huh-Yoo

Large Language Models (LLMs) excel in generating personalized content and facilitating interactive dialogues, showcasing their remarkable aptitude for a myriad of applications. However, their capabilities in reasoning and providing…

Computation and Language · Computer Science 2024-02-16 Min Zhang , Sato Takumi , Jack Zhang , Jun Wang

Advances in large language models (LLMs) are profoundly reshaping the field of human-robot interaction (HRI). While prior work has highlighted the technical potential of LLMs, few studies have systematically examined their human-centered…

Robotics · Computer Science 2026-02-18 Yufeng Wang , Yuan Xu , Anastasia Nikolova , Yuxuan Wang , Jianyu Wang , Chongyang Wang , Xin Tong

Artificial Intelligence (AI) is increasingly being integrated into scientific research, particularly in the social sciences, where understanding human behavior is critical. Large Language Models (LLMs) have shown promise in replicating…

Computation and Language · Computer Science 2025-06-23 Ziyan Cui , Ning Li , Huaikang Zhou

The exponential growth of text-based data in domains such as healthcare, education, and social sciences has outpaced the capacity of traditional qualitative analysis methods, which are time-intensive and prone to subjectivity. Large…

Human decision-making belongs to the foundation of our society and civilization, but we are on the verge of a future where much of it will be delegated to artificial intelligence. The arrival of Large Language Models (LLMs) has transformed…

Artificial Intelligence · Computer Science 2025-06-23 Hao Li , Gengrui Zhang , Petter Holme , Shuyue Hu , Zhen Wang

The humanlike responses of large language models (LLMs) have prompted social scientists to investigate whether LLMs can be used to simulate human participants in experiments, opinion polls and surveys. Of central interest in this line of…

Computation and Language · Computer Science 2024-05-14 Nikolay B Petrov , Gregory Serapio-García , Jason Rentfrow

For a long time, humanity has pursued artificial intelligence (AI) equivalent to or surpassing the human level, with AI agents considered a promising vehicle for this pursuit. AI agents are artificial entities that sense their environment,…