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相关论文: Can LLMs Generate Novel Research Ideas? A Large-Sc…

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Large Language Models (LLMs) have shown promise in accelerating the scientific research pipeline. A key capability for this process is the ability to generate novel research ideas, and prior studies have found settings in which…

计算与语言 · 计算机科学 2025-06-27 Chenglei Si , Tatsunori Hashimoto , Diyi Yang

Large language models (LLMs) are increasingly used to support creative tasks such as research idea generation. While recent work has shown that structured dialogues between LLMs can improve the novelty and feasibility of generated ideas,…

计算与语言 · 计算机科学 2025-07-14 Keisuke Ueda , Wataru Hirota , Takuto Asakura , Takahiro Omi , Kosuke Takahashi , Kosuke Arima , Tatsuya Ishigaki

Novel research ideas play a critical role in advancing scientific inquiries. Recent advancements in Large Language Models (LLMs) have demonstrated their potential to generate novel research ideas by leveraging large-scale scientific…

人工智能 · 计算机科学 2025-11-05 Keyu Zhao , Weiquan Lin , Qirui Zheng , Fengli Xu , Yong Li

The widespread adoption of Large Language Models (LLMs) and publicly available ChatGPT have marked a significant turning point in the integration of Artificial Intelligence (AI) into people's everyday lives. This study examines the ability…

计算与语言 · 计算机科学 2025-10-28 Sandeep Kumar , Tirthankar Ghosal , Vinayak Goyal , Asif Ekbal

The pace of scientific research, vital for improving human life, is complex, slow, and needs specialized expertise. Meanwhile, novel, impactful research often stems from both a deep understanding of prior work, and a cross-pollination of…

计算与语言 · 计算机科学 2025-02-11 Jinheon Baek , Sujay Kumar Jauhar , Silviu Cucerzan , Sung Ju Hwang

Scientific idea generation is central to discovery, requiring the joint satisfaction of novelty and scientific soundness. Unlike standard reasoning or general creative generation, scientific ideation is inherently open-ended and…

Scientific innovation is pivotal for humanity, and harnessing large language models (LLMs) to generate research ideas could transform discovery. However, existing LLMs often produce simplistic and repetitive suggestions due to their limited…

人工智能 · 计算机科学 2024-10-29 Xiang Hu , Hongyu Fu , Jinge Wang , Yifeng Wang , Zhikun Li , Renjun Xu , Yu Lu , Yaochu Jin , Lili Pan , Zhenzhong Lan

Significant scientific discoveries have driven the progress of human civilisation. The explosion of scientific literature and data has created information barriers across disciplines that have slowed the pace of scientific discovery. Large…

计算与语言 · 计算机科学 2023-11-13 Biqing Qi , Kaiyan Zhang , Haoxiang Li , Kai Tian , Sihang Zeng , Zhang-Ren Chen , Bowen Zhou

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…

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

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…

计算与语言 · 计算机科学 2024-11-06 Sikun Guo , Amir Hassan Shariatmadari , Guangzhi Xiong , Albert Huang , Eric Xie , Stefan Bekiranov , Aidong Zhang

Judging the novelty of research ideas is crucial for advancing science, enabling the identification of unexplored directions, and ensuring contributions meaningfully extend existing knowledge rather than reiterate minor variations. However,…

计算与语言 · 计算机科学 2026-03-12 Tim Schopf , Michael Färber

Large Language Models (LLMs) have succeeded remarkably in various natural language processing (NLP) tasks, yet their reasoning capabilities remain a fundamental challenge. While LLMs exhibit impressive fluency and factual recall, their…

计算与语言 · 计算机科学 2025-05-29 Avinash Patil , Aryan Jadon

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

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

Assessing the novelty of patent claims is a critical yet challenging task traditionally performed by patent examiners. While advancements in NLP have enabled progress in various patent-related tasks, novelty assessment remains unexplored.…

计算与语言 · 计算机科学 2025-02-11 Hayato Ikoma , Teruko Mitamura

Hypothesis generation is a fundamental step in scientific discovery, yet it is increasingly challenged by information overload and disciplinary fragmentation. Recent advances in Large Language Models (LLMs) have sparked growing interest in…

Recent advancements in large language models (LLMs) demonstrate strong potential for generating novel research ideas, yet such ideas often struggle with feasibility and effectiveness. In this paper, we investigate whether augmenting LLMs…

计算与语言 · 计算机科学 2026-03-03 Xiao Liu , Xinyi Dong , Xinyang Gao , Yansong Feng , Xun Pang

Novelty is a crucial criterion in the peer review process for evaluating academic papers. Traditionally, it's judged by experts or measure by unique reference combinations. Both methods have limitations: experts have limited knowledge, and…

计算与语言 · 计算机科学 2025-07-17 Wenqing Wu , Chengzhi Zhang , Yi Zhao

Effective research ideation is a critical step for scientific research. However, the exponential increase in scientific literature makes it challenging for researchers to stay current with recent advances and identify meaningful research…

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