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With the rapid evolution of Natural Language Processing (NLP), Large Language Models (LLMs) like ChatGPT have emerged as powerful tools capable of transforming various sectors. Their vast knowledge base and dynamic interaction capabilities…

Computers and Society · Computer Science 2024-01-02 Kevin Wang , Jason Ramos , Ramon Lawrence

In the rapidly evolving landscape of education, digital technologies have repeatedly disrupted traditional pedagogical methods. This paper explores the latest of these disruptions: the potential integration of large language models (LLMs)…

Computers and Society · Computer Science 2023-12-21 Mahyar Abedi , Ibrahem Alshybani , Muhammad Rubayat Bin Shahadat , Michael S. Murillo

As multiple robots are expected to coexist in future households, natural language is increasingly envisioned as a primary medium for human-robot and robot-robot communication. This paper introduces the concept of a Natural Language…

Human-Computer Interaction · Computer Science 2026-01-23 Ziyi Liu , Xinyi Wang , Shao-Kang Hsia , Chenfei Zhu , Zhengzhe Zhu , Xiyun Hu , Anastasia Kouvaras Ostrowski , Karthik Ramani

Building effective human-robot interaction requires robots to derive conclusions from their experiences that are both logically sound and communicated in ways aligned with human expectations. This paper presents a hybrid framework that…

Robotics · Computer Science 2026-02-17 Alberto Olivares-Alarcos , Muhammad Ahsan , Satrio Sanjaya , Hsien-I Lin , Guillem Alenyà

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

Reciprocal questioning is essential for effective teaching and learning, fostering active engagement and deeper understanding through collaborative interactions, especially in large classrooms. Can large language model (LLM), such as…

Computers and Society · Computer Science 2023-11-28 Chee Wei Tan

Large Language Models (LLMs) are compact representations of all public knowledge of our physical environment and animal and human behaviors. The application of LLMs to robotics may offer a path to highly capable robots that perform well…

Robotics · Computer Science 2024-12-25 OpenMind , Shaohong Zhong , Adam Zhou , Boyuan Chen , Homin Luo , Jan Liphardt

Beyond mere formality, small talk plays a pivotal role in social dynamics, serving as a verbal handshake for building rapport and understanding. For conversational AI and social robots, the ability to engage in small talk enhances their…

Robotics · Computer Science 2024-12-25 Rebecca Ramnauth , Dražen Brščić , Brian Scassellati

Language models have emerged as a critical area of focus in artificial intelligence, particularly with the introduction of groundbreaking innovations like ChatGPT. Large-scale Transformer networks have quickly become the leading approach…

Artificial Intelligence · Computer Science 2024-12-12 Wei Wang , Qing Li

The emergence of large language models (LLM) and, consequently, vision language models (VLM) has ignited new imaginations among robotics researchers. At this point, the range of applications to which LLM and VLM can be applied in…

Robotics · Computer Science 2024-11-28 Jesse Atuhurra

This study investigates the efficacy of large language models (LLMs) as tools for grading master-level student essays. Utilizing a sample of 60 essays in political science, the study compares the accuracy of grades suggested by the GPT-4…

General Economics · Economics 2024-06-25 Magnus Lundgren

In this study, we are interested in imbuing robots with the capability of physically-grounded task planning. Recent advancements have shown that large language models (LLMs) possess extensive knowledge useful in robotic tasks, especially in…

Robotics · Computer Science 2023-12-27 Yingdong Hu , Fanqi Lin , Tong Zhang , Li Yi , Yang Gao

This study introduces intelligent frameworks that use Large Language Models (LLMs) to improve task scheduling for construction robots. The LLM is fed with key data about the desired task, such as agent action abilities, and the desired end…

Robotics · Computer Science 2026-05-18 Swayamjit Saha , Subhabrata Das , Haonan Duan , Xiao-Yang Liu

Generative Pretrained Transformers (GPTs) are foundational Large Language Models (LLMs) for text generation. However, individual LLMs often produce inconsistent outputs and exhibit biases, limiting their representation of diverse language…

Computation and Language · Computer Science 2025-08-06 Mari Ashiga , Wei Jie , Fan Wu , Vardan Voskanyan , Fateme Dinmohammadi , Paul Brookes , Jingzhi Gong , Zheng Wang

In remote and hybrid work contexts, the integration of physical and digital environments is revolutionizing spatial experiences, collaboration, and interpersonal interactions. This study examines three fundamental spatial conditions: the…

Large language models, pivotal in artificial intelligence, find diverse applications. ChatGPT (Chat Generative Pre-trained Transformer), an OpenAI creation, stands out as a widely adopted, powerful tool. It excels in chatbots, content…

Computation and Language · Computer Science 2025-05-28 Walid Hariri

Generative artificial intelligence (AI) and large language models (LLMs) have gained rapid popularity through publicly available tools such as ChatGPT. The adoption of LLMs for personal and professional use is fueled by the natural…

Computation and Language · Computer Science 2024-07-25 Sinan Abdulhak , Wayne Hubbard , Karthik Gopalakrishnan , Max Z. Li

Large language models have given social robots the ability to autonomously engage in open-domain conversations. However, they are still missing a fundamental social skill: making use of the multiple modalities that carry social…

Robotics · Computer Science 2025-08-19 Ruben Janssens , Tony Belpaeme

This paper explores the potential of constructing an AI spoken dialogue system that "thinks how to respond" and "thinks how to speak" simultaneously, which more closely aligns with the human speech production process compared to the current…

Computation and Language · Computer Science 2023-09-21 Xinyu Zhou , Delong Chen , Yudong Chen

In the pursuit of efficient automated content creation, procedural generation, leveraging modifiable parameters and rule-based systems, emerges as a promising approach. Nonetheless, it could be a demanding endeavor, given its intricate…

Computer Vision and Pattern Recognition · Computer Science 2024-05-30 Chunyi Sun , Junlin Han , Weijian Deng , Xinlong Wang , Zishan Qin , Stephen Gould
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