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The recent surge of Large Language Models (LLMs) has led to claims that they are approaching a level of creativity akin to human capabilities. This idea has sparked a blend of excitement and apprehension. However, a critical piece that has…

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…

计算与语言 · 计算机科学 2024-05-06 Tolga Buz , Benjamin Frost , Nikola Genchev , Moritz Schneider , Lucie-Aimée Kaffee , Gerard de Melo

Artificial intelligence has, so far, largely automated routine tasks, but what does it mean for the future of work if Large Language Models (LLMs) show creativity comparable to humans? To measure the creativity of LLMs holistically, the…

人工智能 · 计算机科学 2025-05-22 Luning Sun , Yuzhuo Yuan , Yuan Yao , Yanyan Li , Hao Zhang , Xing Xie , Xiting Wang , Fang Luo , David Stillwell

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…

人机交互 · 计算机科学 2024-06-07 Surabhi S. Nath , Peter Dayan , Claire Stevenson

The rapid advancement of Large Language Models (LLMs) has revolutionized text generation but also raised concerns about potential misuse, making detecting LLM-generated text (AI text) increasingly essential. While prior work has focused on…

计算与语言 · 计算机科学 2025-09-30 Nafis Irtiza Tripto , Saranya Venkatraman , Mahjabin Nahar , Dongwon Lee

The following paper introduces a general linguistic creativity test for humans and Large Language Models (LLMs). The test consists of various tasks aimed at assessing their ability to generate new original words and phrases based on word…

计算与语言 · 计算机科学 2025-11-11 Anca Dinu , Andra-Maria Florescu , Alina Resceanu

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…

计算与语言 · 计算机科学 2025-10-21 Ninad Bhat , Kieran Browne , Pip Bingemann

Story-writing is a fundamental aspect of human imagination, relying heavily on creativity to produce narratives that are novel, effective, and surprising. While large language models (LLMs) have demonstrated the ability to generate…

计算与语言 · 计算机科学 2025-05-13 Mete Ismayilzada , Claire Stevenson , Lonneke van der Plas

Artificial Intelligence (AI) techniques, especially Large Language Models (LLMs), have started gaining popularity among researchers and software developers for generating source code. However, LLMs have been shown to generate code with…

软件工程 · 计算机科学 2024-11-08 Hyunjae Suh , Mahan Tafreshipour , Jiawei Li , Adithya Bhattiprolu , Iftekhar Ahmed

Large language models (LLMs) such as ChatGPT are increasingly being used for various use cases, including text content generation at scale. Although detection methods for such AI-generated text exist already, we investigate ChatGPT's…

计算与语言 · 计算机科学 2023-08-21 Amrita Bhattacharjee , Huan Liu

Creative writing has long been considered a uniquely human endeavor, requiring voice and style that machines could not replicate. This assumption is challenged by Generative AI that can emulate thousands of author styles in seconds with…

人工智能 · 计算机科学 2026-01-27 Tuhin Chakrabarty , Paramveer S. Dhillon

Following the widespread adoption of ChatGPT in early 2023, numerous studies reported that large language models (LLMs) can match or even surpass human performance in creative tasks. However, it remains unclear whether LLMs have become more…

计算与语言 · 计算机科学 2025-04-18 Jennifer Haase , Paul H. P. Hanel , Sebastian Pokutta

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…

计算与语言 · 计算机科学 2024-12-10 Matthew Lyle Olson , Neale Ratzlaff , Musashi Hinck , Shao-yen Tseng , Vasudev Lal

Our work addresses the critical issue of distinguishing text generated by Large Language Models (LLMs) from human-produced text, a task essential for numerous applications. Despite ongoing debate about the feasibility of such…

计算与语言 · 计算机科学 2023-10-04 Souradip Chakraborty , Amrit Singh Bedi , Sicheng Zhu , Bang An , Dinesh Manocha , Furong Huang

Creativity serves as a cornerstone for societal progress and innovation. With the rise of advanced generative AI models capable of tasks once reserved for human creativity, the study of AI's creative potential becomes imperative for its…

Collaboration has been shown to enhance creativity, leading to more innovative and effective outcomes. While previous research has explored the abilities of Large Language Models (LLMs) to serve as co-creative partners in tasks like writing…

人机交互 · 计算机科学 2025-01-24 Zhikun Wu , Thomas Weber , Florian Müller

Large language models (LLMs) have rapidly transformed the creation of written materials. LLMs have led to questions about writing integrity, thereby driving the creation of artificial intelligence (AI) detection technologies. Adversarial…

计算与语言 · 计算机科学 2025-07-25 Hulayyil Alshammari , Praveen Rao

The development of Generative AI Large Language Models (LLMs) raised the alarm regarding identifying content produced through generative AI or humans. In one case, issues arise when students heavily rely on such tools in a manner that can…

计算与语言 · 计算机科学 2025-01-07 Ayat Najjar , Huthaifa I. Ashqar , Omar Darwish , Eman Hammad

The potential of artificial intelligence (AI)-based large language models (LLMs) holds considerable promise in revolutionizing education, research, and practice. However, distinguishing between human-written and AI-generated text has become…

计算与语言 · 计算机科学 2023-11-14 Kadhim Hayawi , Sakib Shahriar , Sujith Samuel Mathew

Creativity assessment in science and engineering is increasingly based on both human and AI judgment, but the cognitive processes and biases behind these evaluations remain poorly understood. We conducted two experiments examining how…

计算与语言 · 计算机科学 2025-05-06 Antonio Laverghetta , Tuhin Chakrabarty , Tom Hope , Jimmy Pronchick , Krupa Bhawsar , Roger E. Beaty
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