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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) 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

While the use of Large Language Models (LLMs) in programming has been extensively studied, there is limited understanding of how LLMs support collaborative work where creativity plays a central role. Software design, as a collaborative and…

Software Engineering · Computer Science 2026-04-28 Victoria Jackson , Grischa Liebel , Rafael Prikladnicki , Andre van der Hoek

We introduce Creativity Benchmark, an evaluation framework for large language models (LLMs) in marketing creativity. The benchmark covers 100 brands (12 categories) and three prompt types (Insights, Ideas, Wild Ideas). Human pairwise…

Computation and Language · Computer Science 2025-10-21 Ninad Bhat , Kieran Browne , Pip Bingemann

Large language models (LLMs), particularly when integrated into agentic systems, have demonstrated human- and even superhuman-level performance across multiple domains. Whether these systems can truly be considered creative, however,…

Computers and Society · Computer Science 2026-04-21 Giorgio Franceschelli , Mirco Musolesi

The pace of evolution of Large Language Models (LLMs) necessitates new approaches for rigorous and comprehensive evaluation. Traditional human annotation is increasingly impracticable due to the complexities and costs involved in generating…

Computation and Language · Computer Science 2025-02-21 Arkil Patel , Siva Reddy , Dzmitry Bahdanau

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 increasingly used in verbal creative tasks. However, previous assessments of the creative capabilities of LLMs remain weakly grounded in human creativity theory and are thus hard to interpret. The widely…

Computation and Language · Computer Science 2026-01-29 Kumiko Nakajima , Jan Zuiderveld , Sandro Pezzelle

Large language models (LLMs) are increasingly shaping creative work and problem-solving; however, prior research suggests that they may diminish unassisted creativity. To address this tension, a coach-like LLM environment was developed that…

Human-Computer Interaction · Computer Science 2025-10-31 Alon Rosenbaum , Yigal David , Eran Kaufman , Gilad Ravid , Amit Ronen , Assaf Krebs

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

Large language models (LLMs) are increasingly used for creative tasks such as literary translation. Yet translational creativity remains underexplored and is rarely evaluated at scale, while source-text comprehension is typically studied in…

Computation and Language · Computer Science 2026-04-21 Ran Zhang , Steffen Eger , Arda Tezcan , Wei Zhao , Simone Paolo Ponzetto , Lieve Macken

Large Language Models (LLMs) have revolutionized natural language processing but can exhibit biases and may generate toxic content. While alignment techniques like Reinforcement Learning from Human Feedback (RLHF) reduce these issues, their…

Computation and Language · Computer Science 2024-06-11 Behnam Mohammadi

Creativity has long been considered one of the most difficult aspect of human intelligence for AI to mimic. However, the rise of Large Language Models (LLMs), like ChatGPT, has raised questions about whether AI can match or even surpass…

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

Recent Large Language Models (LLMs) have shown the ability to generate content that is difficult or impossible to distinguish from human writing. We investigate the ability of differently-sized LLMs to replicate human writing style in…

Computation and Language · Computer Science 2024-05-06 Tolga Buz , Benjamin Frost , Nikola Genchev , Moritz Schneider , Lucie-Aimée Kaffee , Gerard de Melo

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

The advent of AI driven large language models (LLMs) have stirred discussions about their role in qualitative research. Some view these as tools to enrich human understanding, while others perceive them as threats to the core values of the…

Software Engineering · Computer Science 2023-06-26 Muneera Bano , Didar Zowghi , Jon Whittle

Current communication technologies face limitations in terms of theoretical capacity, spectrum availability, and power resources. Pragmatic communication, leveraging terminal intelligence for selective data transmission, offers resource…

Computation and Language · Computer Science 2024-02-06 Jiaxuan Li , Minxi Yang , Dahua Gao , Wenlong Xu , Guangming Shi

Creativity is a fundamental aspect of intelligence, involving the ability to generate novel and appropriate solutions across diverse contexts. While Large Language Models (LLMs) have been extensively evaluated for their creative…

Computer Vision and Pattern Recognition · Computer Science 2025-03-20 Xinyu Fang , Zhijian Chen , Kai Lan , Lixin Ma , Shengyuan Ding , Yingji Liang , Xiangyu Zhao , Farong Wen , Zicheng Zhang , Guofeng Zhang , Haodong Duan , Kai Chen , Dahua Lin

We argue that uncertainty is a key and understudied limitation of LLMs' performance in creative writing, which is often characterized as trite and clich\'e-ridden. Literary theory identifies uncertainty as a necessary condition for creative…

Computation and Language · Computer Science 2026-02-19 Peiqi Sui