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相关论文: Enhancing Creativity in Large Language Models thro…

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Empathetic dialogue is an indispensable part of building harmonious social relationships and contributes to the development of a helpful AI. Previous approaches are mainly based on fine small-scale language models. With the advent of…

计算与语言 · 计算机科学 2024-07-29 Yushan Qian , Wei-Nan Zhang , Ting Liu

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…

人机交互 · 计算机科学 2024-05-14 Barrett R. Anderson , Jash Hemant Shah , Max Kreminski

Cognitive Reframing, a core element of Cognitive Behavioral Therapy (CBT), helps individuals reinterpret negative experiences by finding positive meaning. Recent advances in Large Language Models (LLMs) have demonstrated improved…

计算与语言 · 计算机科学 2025-04-02 Yilin Qi , Dong Won Lee , Cynthia Breazeal , Hae Won Park

This study investigates whether large language models, specifically GPT4, can match human capabilities in analogical reasoning within strategic decision making contexts. Using a novel experimental design involving source to target matching,…

人工智能 · 计算机科学 2025-05-02 Phanish Puranam , Prothit Sen , Maciej Workiewicz

Large language models (LLMs) have significant potential for generating educational questions and problems, enabling educators to create large-scale learning materials. However, LLMs are fundamentally limited by the ``Artificial Hivemind''…

人工智能 · 计算机科学 2025-12-30 Manh Hung Nguyen , Adish Singla

Reasoning based on Large Language Models (LLMs) has garnered increasing attention due to outstanding performance of these models in mathematical and complex logical tasks. Beginning with the Chain-of-Thought (CoT) prompting technique,…

人工智能 · 计算机科学 2025-11-27 Yuto Suzuki , Farnoush Banaei-Kashani

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…

Creativity involves not only generating new ideas from scratch but also redefining existing concepts and synthesizing previous insights. Among various techniques developed to foster creative thinking, brainstorming is widely used. With…

人机交互 · 计算机科学 2024-10-17 Hung-Fu Chang , Tong Li

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) 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…

人工智能 · 计算机科学 2023-11-14 Pier Luca Lanzi , Daniele Loiacono

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

Large Language Models (LLMs) have demonstrated remarkable progress in reasoning across diverse domains. However, effective reasoning in real-world tasks requires adapting the reasoning strategy to the demands of the problem, ranging from…

计算与语言 · 计算机科学 2025-08-19 Xinda Jia , Jinpeng Li , Zezhong Wang , Jingjing Li , Xingshan Zeng , Yasheng Wang , Weinan Zhang , Yong Yu , Weiwen Liu

Generative artificial intelligence (GenAI) can rapidly produce large and diverse volumes of content. This lends to it a quality of creativity which can be empowering in the early stages of design. In seeking to understand how creative ways…

人机交互 · 计算机科学 2024-03-20 Gionnieve Lim , Simon T. Perrault

Pretrained large language models (LLMs) are increasingly utilized across a wide range of natural language processing (NLP) tasks due to their impressive capabilities as few-shot learners. Recent techniques, such as chain-of-thought (CoT)…

机器学习 · 计算机科学 2024-12-02 Kamesh R

Large language models (LLMs) have shown limitations in tasks requiring complex logical reasoning and multi-step problem-solving. To address these challenges, researchers have employed carefully designed prompts and flowcharts, simulating…

计算与语言 · 计算机科学 2024-12-06 Changcheng Li , Xiangyu Wang , Qiuju Chen , Xiren Zhou , Huanhuan Chen

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…

人机交互 · 计算机科学 2024-03-15 Sangho Suh , Meng Chen , Bryan Min , Toby Jia-Jun Li , Haijun Xia

Open-source pre-trained Large Language Models (LLMs) exhibit strong language understanding and generation capabilities, making them highly successful in a variety of tasks. However, when used as agents for dealing with complex problems in…

计算与语言 · 计算机科学 2024-04-01 Qinhao Zhou , Zihan Zhang , Xiang Xiang , Ke Wang , Yuchuan Wu , Yongbin Li

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) 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

Large language models (LLMs), such as GPT-3 and GPT-4, have demonstrated exceptional performance in various natural language processing tasks and have shown the ability to solve certain reasoning problems. However, their reasoning…

人工智能 · 计算机科学 2023-07-18 Adam Ishay , Zhun Yang , Joohyung Lee