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Code generation aims to automatically generate source code from high-level task specifications, which can significantly increase productivity of software engineering. Recently, approaches based on large language models (LLMs) have shown…

Artificial Intelligence · Computer Science 2023-05-19 Xin-Ye Li , Jiang-Tian Xue , Zheng Xie , Ming Li

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

Scientific idea generation has been extensively studied in creativity theory and computational creativity research, providing valuable frameworks for understanding and implementing creative processes. However, recent work using Large…

Artificial Intelligence · Computer Science 2025-02-18 Tianyang Gu , Jingjin Wang , Zhihao Zhang , HaoHong Li

This paper assesses the potential for large language models (LLMs) to serve as assistive tools in the creative writing process, by means of a single, in-depth case study. In the course of the study, we develop interactive and multi-voice…

Computation and Language · Computer Science 2023-12-08 Murray Shanahan , Catherine Clarke

Large Language Models (LLMs) have demonstrated amazing capabilities in language generation, text comprehension, and knowledge reasoning. While a single powerful model can already handle multiple tasks, relying on a single perspective can…

Computation and Language · Computer Science 2024-06-12 Zining Qin , Chenhao Wang , Huiling Qin , Weijia Jia

Concept generation is a creative step in the conceptual design phase, where designers often turn to brainstorming, mindmapping, or crowdsourcing design ideas to complement their own knowledge of the domain. Recent advances in natural…

Computation and Language · Computer Science 2023-06-06 Kevin Ma , Daniele Grandi , Christopher McComb , Kosa Goucher-Lambert

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

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

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

Since the launch of ChatGPT, a powerful AI Chatbot developed by OpenAI, large language models (LLMs) have made significant advancements in both academia and industry, bringing about a fundamental engineering paradigm shift in many areas.…

Software Engineering · Computer Science 2023-11-22 Xiaoxia Liu , Jingyi Wang , Jun Sun , Xiaohan Yuan , Guoliang Dong , Peng Di , Wenhai Wang , Dongxia Wang

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

Accuracy remains a standard metric for evaluating AI systems, but it offers limited insight into how models arrive at their solutions. In this work, we introduce a benchmark based on brainteasers written in long narrative form to probe more…

Artificial Intelligence · Computer Science 2025-10-30 Simeng Han , Howard Dai , Stephen Xia , Grant Zhang , Chen Liu , Lichang Chen , Hoang Huy Nguyen , Hongyuan Mei , Jiayuan Mao , R. Thomas McCoy

Increasingly, large language models (LLMs) are being used to automate workplace processes requiring a high degree of creativity. While much prior work has examined the creativity of LLMs, there has been little research on whether they can…

Computation and Language · Computer Science 2024-09-04 Antonio Laverghetta , Simone Luchini , Averie Linell , Roni Reiter-Palmon , Roger Beaty

This paper explores the enhancement of creativity in Large Language Models (LLMs) like vGPT-4 through associative thinking, a cognitive process where creative ideas emerge from linking seemingly unrelated concepts. Associative thinking…

Computation and Language · Computer Science 2024-05-14 Pronita Mehrotra , Aishni Parab , Sumit Gulwani

Large language models (LLMs) are now being used in a wide variety of contexts, including as creativity support tools (CSTs) intended to help their users come up with new ideas. But do LLMs actually support user creativity? We hypothesized…

Human-Computer Interaction · Computer Science 2024-05-14 Barrett R. Anderson , Jash Hemant Shah , Max Kreminski

Large language models (LLMs) have shown remarkable success across a wide range of natural language generation tasks, where proper prompt designs make great impacts. While existing prompting methods are normally restricted to providing…

Computation and Language · Computer Science 2023-06-01 Bei Li , Rui Wang , Junliang Guo , Kaitao Song , Xu Tan , Hany Hassan , Arul Menezes , Tong Xiao , Jiang Bian , JingBo Zhu

Large language models(LLMS)have shown excellent text generation capabilities, capable of generating fluent human-like responses for many downstream tasks. However, applying large language models to real-world critical tasks remains…

Computation and Language · Computer Science 2023-07-21 Le Xiao , Xin Shan

Large Language Models (LLMs) have transformed how people interact with artificial intelligence (AI) systems, achieving state-of-the-art results in various tasks, including scientific discovery and hypothesis generation. However, the lack of…

Computation and Language · Computer Science 2024-11-06 Sikun Guo , Amir Hassan Shariatmadari , Guangzhi Xiong , Albert Huang , Eric Xie , Stefan Bekiranov , Aidong Zhang

Reflection is widely recognized as a cornerstone of student development, fostering critical thinking, self-regulation, and deep conceptual understanding. Traditionally, reflective skills have been cultivated through structured feedback,…

Human-Computer Interaction · Computer Science 2025-09-10 Bo Yuan , Jiazi Hu

Large language models (LLMs) have taken the scientific world by storm, changing the landscape of natural language processing and human-computer interaction. These powerful tools can answer complex questions and, surprisingly, perform…

Artificial Intelligence · Computer Science 2023-11-14 Pier Luca Lanzi , Daniele Loiacono
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