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相关论文: How Creative Are Large Language Models in Generati…

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Recent advancements in large language models (LLMs) have demonstrated impressive performance in molecular generation, which offers potential to accelerate drug discovery. However, the current LLMs overlook a critical requirement for drug…

机器学习 · 计算机科学 2025-02-18 Hyosoon Jang , Yunhui Jang , Jaehyung Kim , Sungsoo Ahn

Large language models (LLMs) are introducing a paradigm shift in molecular discovery by enabling text-guided interaction with chemical spaces through natural language, symbolic notations, with emerging extensions to incorporate multi-modal…

机器学习 · 计算机科学 2025-05-23 Ziqing Wang , Kexin Zhang , Zihan Zhao , Yibo Wen , Abhishek Pandey , Han Liu , Kaize Ding

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…

计算与语言 · 计算机科学 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

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…

软件工程 · 计算机科学 2026-04-28 Victoria Jackson , Grischa Liebel , Rafael Prikladnicki , Andre van der Hoek

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.…

人工智能 · 计算机科学 2025-02-14 Giorgio Franceschelli , Mirco Musolesi

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

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

Large language models (LLMs) are applied to all sorts of creative tasks, and their outputs vary from beautiful, to peculiar, to pastiche, into plain plagiarism. The temperature parameter of an LLM regulates the amount of randomness, leading…

计算与语言 · 计算机科学 2024-05-02 Max Peeperkorn , Tom Kouwenhoven , Dan Brown , Anna Jordanous

Numerous powerful large language models (LLMs) are now available for use as writing support tools, idea generators, and beyond. Although these LLMs are marketed as helpful creative assistants, several works have shown that using an LLM as a…

计算机与社会 · 计算机科学 2025-02-03 Emily Wenger , Yoed Kenett

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…

计算机视觉与模式识别 · 计算机科学 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

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…

计算与语言 · 计算机科学 2023-12-08 Murray Shanahan , Catherine Clarke

Large Language Models (LLMs) stand at the forefront of a number of Natural Language Processing (NLP) tasks. Despite the widespread adoption of LLMs in NLP, much of their potential in broader fields remains largely unexplored, and…

机器学习 · 计算机科学 2024-03-11 Zhiqiang Zhong , Kuangyu Zhou , Davide Mottin

Large Language Models (LLMs) have demonstrated great promise in generating code, especially when used inside an evolutionary computation framework to iteratively optimize the generated algorithms. However, in some cases they fail to…

神经与进化计算 · 计算机科学 2025-03-24 Niki van Stein , Anna V. Kononova , Lars Kotthoff , Thomas Bäck

Large Language Models (LLMs) have demonstrated their remarkable capabilities in numerous fields. This survey focuses on how LLMs empower users, regardless of their technical background, to use human languages to automatically generate…

软件工程 · 计算机科学 2025-04-03 Nam Huynh , Beiyu Lin

Despite their ability to understand chemical knowledge, large language models (LLMs) remain limited in their capacity to propose novel molecules with desired functions (e.g., drug-like properties). In addition, the molecules that LLMs…

Large Language Models (LLMs) have revolutionised the field of Natural Language Processing (NLP) and have achieved state-of-the-art performance in practically every task in this field. However, the prevalent approach used in text generation,…

计算与语言 · 计算机科学 2024-08-12 Nicolo Micheletti , Samuel Belkadi , Lifeng Han , Goran Nenadic

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

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…

人工智能 · 计算机科学 2025-02-18 Tianyang Gu , Jingjin Wang , Zhihao Zhang , HaoHong Li

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…

计算与语言 · 计算机科学 2024-08-09 Li-Chun Lu , Shou-Jen Chen , Tsung-Min Pai , Chan-Hung Yu , Hung-yi Lee , Shao-Hua Sun

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…

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