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Large language models (LLMs) have shown exceptional proficiency in natural language processing but often fall short of generating creative and original responses to open-ended questions. To enhance LLM creativity, our key insight is to…

Computation and Language · Computer Science 2024-08-09 Li-Chun Lu , Shou-Jen Chen , Tsung-Min Pai , Chan-Hung Yu , Hung-yi Lee , Shao-Hua Sun

Empathetic dialogue is an indispensable part of building harmonious social relationships and contributes to the development of a helpful AI. Previous approaches are mainly based on fine small-scale language models. With the advent of…

Computation and Language · Computer Science 2024-07-29 Yushan Qian , Wei-Nan Zhang , Ting Liu

This paper studies how large language models (LLMs) can act as effective, high-level creative collaborators and ``muses'' for game design. We model the design of this study after the exercises artists use by looking at amorphous ink…

Artificial Intelligence · Computer Science 2024-03-06 Asad Anjum , Yuting Li , Noelle Law , M Charity , Julian Togelius

Thanks to their generative capabilities, large language models (LLMs) have become an invaluable tool for creative processes. These models have the capacity to produce hundreds and thousands of visual and textual outputs, offering abundant…

Human-Computer Interaction · Computer Science 2024-03-15 Sangho Suh , Meng Chen , Bryan Min , Toby Jia-Jun Li , Haijun Xia

Gestures perform a variety of communicative functions that powerfully influence human face-to-face interaction. How this communicative function is achieved varies greatly between individuals and depends on the role of the speaker and the…

Human-Computer Interaction · Computer Science 2023-10-24 Laura B. Hensel , Nutchanon Yongsatianchot , Parisa Torshizi , Elena Minucci , Stacy Marsella

Large language models (LLMs) are increasingly seen as assistants, copilots, and consultants, capable of supporting a wide range of tasks through natural conversation. However, most systems remain constrained by a linear request-response…

Computation and Language · Computer Science 2026-05-05 Jiaqi Chen , Yanzhe Zhang , Yutong Zhang , Yijia Shao , Diyi Yang

Driven by the rapid growth of machine learning, recent advances in game artificial intelligence (AI) have significantly impacted productivity across various gaming genres. Reward design plays a pivotal role in training game AI models,…

Artificial Intelligence · Computer Science 2024-06-19 In-Chang Baek , Tae-Hwa Park , Jin-Ha Noh , Cheong-Mok Bae , Kyung-Joong Kim

The recent advancements in Large Language Models (LLMs), particularly conversational LLMs like ChatGPT, have prompted changes in a range of fields, including design. This study aims to examine the capabilities of ChatGPT in a human-centered…

Human-Computer Interaction · Computer Science 2023-02-16 A. Baki Kocaballi

Large Language Models (LLMs), such as ChatGPT, exhibit advanced capabilities in generating text, images, and videos. However, their effective use remains constrained by challenges in prompt formulation, personalization, and opaque…

Human-Computer Interaction · Computer Science 2025-03-04 Si Thu , A. Baki Kocaballi

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

ChatGPT and other state-of-the-art large language models (LLMs) are rapidly transforming multiple fields, offering powerful tools for a wide range of applications. These models, commonly trained on vast datasets, exhibit human-like text…

Large language models (LLMs) have demonstrated notable proficiency in code generation, with numerous prior studies showing their promising capabilities in various development scenarios. However, these studies mainly provide evaluations in…

Software Engineering · Computer Science 2024-03-19 Kailun Jin , Chung-Yu Wang , Hung Viet Pham , Hadi Hemmati

As artificial intelligence (AI) continues to evolve from a back-end computational tool into an interactive, generative collaborator, its integration into early-stage design processes demands a rethinking of traditional workflows in…

Human-Computer Interaction · Computer Science 2025-07-25 Zhangqi Liu

Although Large Language Models (LLMs) have demonstrated remarkable code-generation ability, they still struggle with complex tasks. In real-world software development, humans usually tackle complex tasks through collaborative teamwork, a…

Software Engineering · Computer Science 2024-05-14 Yihong Dong , Xue Jiang , Zhi Jin , Ge Li

Large Language Models (LLMs) are advanced Artificial Intelligence (AI) systems that have undergone extensive training using large datasets in order to understand and produce language that closely resembles that of humans. These models have…

Software Engineering · Computer Science 2023-08-10 Alessio Buscemi

The advancement of Large Language Models (LLMs), including GPT-4, provides exciting new opportunities for generative design. We investigate the application of this tool across the entire design and manufacturing workflow. Specifically, we…

In recent times, the grandeur of Large Language Models (LLMs) has not only shone in the realm of natural language processing but has also cast its brilliance across a vast array of applications. This remarkable display of LLM capabilities…

Computation and Language · Computer Science 2024-03-22 Hanieh Alipour , Nick Pendar , Kohinoor Roy

Language is essentially a complex, intricate system of human expressions governed by grammatical rules. It poses a significant challenge to develop capable AI algorithms for comprehending and grasping a language. As a major approach,…

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

Scientific workflow systems are increasingly popular for expressing and executing complex data analysis pipelines over large datasets, as they offer reproducibility, dependability, and scalability of analyses by automatic parallelization on…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-07-09 Mario Sänger , Ninon De Mecquenem , Katarzyna Ewa Lewińska , Vasilis Bountris , Fabian Lehmann , Ulf Leser , Thomas Kosch
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