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Over the last few years, large language models (LLMs) have emerged as the most important breakthroughs in natural language processing (NLP) that fundamentally transform research and developments in the field. ChatGPT represents one of the…

Computation and Language · Computer Science 2023-04-13 Viet Dac Lai , Nghia Trung Ngo , Amir Pouran Ben Veyseh , Hieu Man , Franck Dernoncourt , Trung Bui , Thien Huu Nguyen

Simulation powered by Large Language Models (LLMs) has become a promising method for exploring complex human social behaviors. However, the application of LLMs in simulations presents significant challenges, particularly regarding their…

Computers and Society · Computer Science 2025-02-26 Qian Wang , Zhenheng Tang , Bingsheng He

This work explores expanding the capabilities of large language models (LLMs) pretrained on text to generate 3D meshes within a unified model. This offers key advantages of (1) leveraging spatial knowledge already embedded in LLMs, derived…

Machine Learning · Computer Science 2024-11-15 Zhengyi Wang , Jonathan Lorraine , Yikai Wang , Hang Su , Jun Zhu , Sanja Fidler , Xiaohui Zeng

This paper proposes a framework for quantitatively evaluating interactive LLMs such as ChatGPT using publicly available data sets. We carry out an extensive technical evaluation of ChatGPT using 23 data sets covering 8 different common NLP…

Computation and Language · Computer Science 2023-11-29 Yejin Bang , Samuel Cahyawijaya , Nayeon Lee , Wenliang Dai , Dan Su , Bryan Wilie , Holy Lovenia , Ziwei Ji , Tiezheng Yu , Willy Chung , Quyet V. Do , Yan Xu , Pascale Fung

Large language models (LLMs) have demonstrated exceptional performance across various linguistic tasks. However, it remains uncertain whether LLMs have developed human-like fine-grained grammatical intuition. This preregistered study…

Computation and Language · Computer Science 2024-06-18 Zhuang Qiu , Xufeng Duan , Zhenguang G. Cai

There is an increasing interest in developing LLMs for medical diagnosis to improve diagnosis efficiency. Despite their alluring technological potential, there is no unified and comprehensive evaluation criterion, leading to the inability…

Computation and Language · Computer Science 2023-08-16 Xiaoming Shi , Jie Xu , Jinru Ding , Jiali Pang , Sichen Liu , Shuqing Luo , Xingwei Peng , Lu Lu , Haihong Yang , Mingtao Hu , Tong Ruan , Shaoting Zhang

This research investigates the application of Large Language Models (LLMs) to augment conversational agents in process mining, aiming to tackle its inherent complexity and diverse skill requirements. While LLM advancements present novel…

Artificial Intelligence · Computer Science 2023-07-20 Urszula Jessen , Michal Sroka , Dirk Fahland

Social Media and Internet have the potential to be exploited as a source of opinion to enrich Decision Making solutions. Crowd Decision Making (CDM) is a methodology able to infer opinions and decisions from plain texts, such as reviews…

Artificial Intelligence · Computer Science 2025-06-04 David Herrera-Poyatos , Cristina Zuheros , Rosana Montes , Francisco Herrera

Large Language Models (LLMs) have significantly advanced user-bot interactions, enabling more complex and coherent dialogues. However, the prevalent text-only modality might not fully exploit the potential for effective user engagement.…

Computation and Language · Computer Science 2024-06-24 Lichao Zhang , Jia Yu , Shuai Zhang , Long Li , Yangyang Zhong , Guanbao Liang , Yuming Yan , Qing Ma , Fangsheng Weng , Fayu Pan , Jing Li , Renjun Xu , Zhenzhong Lan

Social dynamics in close human interactions pose significant challenges for Human Mesh Estimation (HME), particularly due to the complexity of physical contacts and the scarcity of training data. Addressing these challenges, we introduce a…

Computer Vision and Pattern Recognition · Computer Science 2024-10-02 Laura Bravo-Sánchez , Jaewoo Heo , Zhenzhen Weng , Kuan-Chieh Wang , Serena Yeung-Levy

Large language models (LLMs), such as GPT-3 and GPT-4, have demonstrated exceptional performance in various natural language processing tasks and have shown the ability to solve certain reasoning problems. However, their reasoning…

Artificial Intelligence · Computer Science 2023-07-18 Adam Ishay , Zhun Yang , Joohyung Lee

Generating lifelike human motions from descriptive texts has experienced remarkable research focus in the recent years, propelled by the emerging requirements of digital humans.Despite impressive advances, existing approaches are often…

Computer Vision and Pattern Recognition · Computer Science 2024-10-30 Yuan Wang , Di Huang , Yaqi Zhang , Wanli Ouyang , Jile Jiao , Xuetao Feng , Yan Zhou , Pengfei Wan , Shixiang Tang , Dan Xu

Large Language Models (LLMs) have been successfully used in many natural-language tasks and applications including text generation and AI chatbots. They also are a promising new technology for concept-oriented deep learning (CODL). However,…

Machine Learning · Computer Science 2023-09-21 Daniel T. Chang

Attaining a high degree of user controllability in visual generation often requires intricate, fine-grained inputs like layouts. However, such inputs impose a substantial burden on users when compared to simple text inputs. To address the…

Computer Vision and Pattern Recognition · Computer Science 2023-10-31 Weixi Feng , Wanrong Zhu , Tsu-jui Fu , Varun Jampani , Arjun Akula , Xuehai He , Sugato Basu , Xin Eric Wang , William Yang Wang

We explore the usage of large language models (LLM) in human-in-the-loop human-in-the-plant cyber-physical systems (CPS) to translate a high-level prompt into a personalized plan of actions, and subsequently convert that plan into a…

Artificial Intelligence · Computer Science 2024-05-21 Ayan Banerjee , Aranyak Maity , Payal Kamboj , Sandeep K. S. Gupta

Emotion estimation in images is a challenging task, typically using computer vision methods to directly estimate people's emotions using face, body pose and contextual cues. In this paper, we explore whether Large Language Models (LLMs) can…

Computer Vision and Pattern Recognition · Computer Science 2023-09-26 Vera Yang , Archita Srivastava , Yasaman Etesam , Chuxuan Zhang , Angelica Lim

Large language models (LLMs) are starting to complement traditional information seeking mechanisms such as web search. LLM-powered chatbots like ChatGPT are gaining prominence among the general public. AI chatbots are also increasingly…

Computation and Language · Computer Science 2025-11-25 Vibhor Agarwal , Yiqiao Jin , Mohit Chandra , Munmun De Choudhury , Srijan Kumar , Nishanth Sastry

Large language models (LLMs), like ChatGPT, are capable of computing affectionately nuanced text that therefore can shape online interactions, including dating. This study explores how individuals experience closeness and romantic interest…

Human-Computer Interaction · Computer Science 2025-04-22 Jessica Szczuka , Lisa Mühl , Paula Ebner , Simon Dubé

With a major focus on its history, difficulties, and promise, this research paper provides a thorough analysis of the chatbot technology environment as it exists today. It provides a very flexible chatbot system that makes use of…

Artificial Intelligence · Computer Science 2023-10-16 Shivom Aggarwal , Shourya Mehra , Pritha Mitra

This study compares the design practices and performance of ChatGPT 4.0, a large language model (LLM), against graduate engineering students in a 48-hour prototyping hackathon, based on a dataset comprising more than 100 prototypes. The LLM…

Human-Computer Interaction · Computer Science 2025-03-04 Daniel Nygård Ege , Henrik H. Øvrebø , Vegar Stubberud , Martin Francis Berg , Christer Elverum , Martin Steinert , Håvard Vestad
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