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The development of large language models (LLMs) capable of following instructions and engaging in conversational interactions sparked increased interest in their utilization across various support tools. We investigate the utility of modern…

Human-Computer Interaction · Computer Science 2024-01-31 Tuhin Chakrabarty , Vishakh Padmakumar , Faeze Brahman , Smaranda Muresan

Although capable of generating creative text, Large Language Models (LLMs) are poor judges of what constitutes "creativity". In this work, we show that we can leverage this knowledge of how to write creatively in order to better judge what…

Computation and Language · Computer Science 2024-12-10 Matthew Lyle Olson , Neale Ratzlaff , Musashi Hinck , Shao-yen Tseng , Vasudev Lal

Large Language Models (LLMs) are revolutionizing several areas of Artificial Intelligence. One of the most remarkable applications is creative writing, e.g., poetry or storytelling: the generated outputs are often of astonishing quality.…

Artificial Intelligence · Computer Science 2025-02-14 Giorgio Franceschelli , Mirco Musolesi

Large language models are transforming the creative process by offering unprecedented capabilities to algorithmically generate ideas. While these tools can enhance human creativity when people co-create with them, it's unclear how this will…

Human-Computer Interaction · Computer Science 2025-02-18 Harsh Kumar , Jonathan Vincentius , Ewan Jordan , Ashton Anderson

Large Language Models (LLMs) have emerged as powerful tools in various research domains. This article examines their potential through a literature review and firsthand experimentation. While LLMs offer benefits like cost-effectiveness and…

Human-Computer Interaction · Computer Science 2024-04-10 M. Namvarpour , A. Razi

Large language models (LLMs) have shown significant potential to change how we write, communicate, and create, leading to rapid adoption across society. This dissertation examines how individuals and institutions are adapting to and…

Computation and Language · Computer Science 2025-06-24 Weixin Liang

Hallucinations in large language models (LLMs) are always seen as limitations. However, could they also be a source of creativity? This survey explores this possibility, suggesting that hallucinations may contribute to LLM application by…

Artificial Intelligence · Computer Science 2024-02-13 Xuhui Jiang , Yuxing Tian , Fengrui Hua , Chengjin Xu , Yuanzhuo Wang , Jian Guo

Large Language Models (LLMs) have emerged as coding assistants, capable of generating source code from natural language prompts. With the increasing adoption of LLMs in software development, academic research and industry based projects are…

In the era of generative artificial intelligence (AI), the fusion of large language models (LLMs) offers unprecedented opportunities for innovation in the field of modern education. We embark on an exploration of prompted LLMs within the…

Computation and Language · Computer Science 2024-05-21 Subhankar Maity , Aniket Deroy , Sudeshna Sarkar

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…

As Large Language Models (LLMs) and other forms of Generative AI permeate various aspects of our lives, their application for learning and education has provided opportunities and challenges. This paper presents an investigation into the…

Computers and Society · Computer Science 2023-06-06 Daniel Leiker , Sara Finnigan , Ashley Ricker Gyllen , Mutlu Cukurova

In the field of natural language processing, the rapid development of large language model (LLM) has attracted more and more attention. LLMs have shown a high level of creativity in various tasks, but the methods for assessing such…

Computation and Language · Computer Science 2025-02-21 Yunpu Zhao , Rui Zhang , Wenyi Li , Di Huang , Jiaming Guo , Shaohui Peng , Yifan Hao , Yuanbo Wen , Xing Hu , Zidong Du , Qi Guo , Ling Li , Yunji Chen

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

Prompt engineering has emerged as a useful way studying the algorithmic tendencies and biases of large language models. Meanwhile creatives and academics have leveraged LLMs to develop creative works and explore the boundaries of their…

Computation and Language · Computer Science 2025-12-08 P. D. Edgar , Alia Hall

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…

Access to large amounts of diverse design solutions can support designers during the early stage of the design process. In this paper, we explore the efficacy of large language models (LLM) in producing diverse design solutions,…

Human-Computer Interaction · Computer Science 2024-05-07 Kevin Ma , Daniele Grandi , Christopher McComb , Kosa Goucher-Lambert

The rise of large language models (LLMs) has highlighted the importance of prompt engineering as a crucial technique for optimizing model outputs. While experimentation with various prompting methods, such as Few-shot, Chain-of-Thought, and…

Artificial Intelligence · Computer Science 2026-03-27 Michael Hewing , Vincent Leinhos

Large language models appear quite creative, often performing on par with the average human on creative tasks. However, research on LLM creativity has focused solely on \textit{products}, with little attention on the creative…

Human-Computer Interaction · Computer Science 2024-06-07 Surabhi S. Nath , Peter Dayan , Claire Stevenson

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

Current research has explored how Generative AI can support the brainstorming process for content creators, but a gap remains in exploring support-tools for the pre-writing process. Specifically, our research is focused on supporting users…

Human-Computer Interaction · Computer Science 2024-06-19 Grace Li , Tao Long , Lydia B. Chilton
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