中文
相关论文

相关论文: Mimetic Poet

200 篇论文

Artificial intelligence's (AI) progress holds great promise in tackling pressing societal concerns such as health and climate. Large Language Models (LLM) and the derived chatbots, like ChatGPT, have highly improved the natural language…

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

The evidence on the effects of generative AI (GenAI) on critical thinking is mixed, with studies suggesting both potential harms and benefits depending on its implementation. Some argue that AI-driven provocations, such as questions asking…

人机交互 · 计算机科学 2026-03-23 Thomas Şerban von Davier , Hao-Ping Lee , Jodi Forlizzi , Sauvik Das

The output quality of large language models (LLMs) can be improved via "reasoning": generating segments of chain-of-thought (CoT) content to further condition the model prior to producing user-facing output. While these chains contain…

Large language models (LLMs) are used not only for problem solving but also for creative ideation; however, eliciting serendipitous insights that are both novel and internally coherent remains difficult. While stochastic sampling promotes…

计算与语言 · 计算机科学 2026-01-13 Makoto Sato

This study examines the rhetorical and linguistic features of argumentative texts generated by ChatGPT on ethically nuanced topics and investigates their persuasive impact on human readers.Through a user study involving 62 participants and…

人机交互 · 计算机科学 2025-08-14 Daniel Raffini , Agnese Macori , Lorenzo Porcaro , Tiziana Catarci , Marco Angelini

In the past years, AI has seen many advances in the field of NLP. This has led to the emergence of LLMs, such as the now famous GPT-3.5, which revolutionise the way humans can access or generate content. Current studies on LLM-based…

人机交互 · 计算机科学 2023-04-19 Alexandre Agossah , Frédérique Krupa , Matthieu Perreira Da Silva , Patrick Le Callet

While large language models (LLMs) are increasingly playing a pivotal role in education by providing instantaneous, adaptive responses, their potential to promote critical thinking remains understudied. In this paper, we fill such a gap and…

人机交互 · 计算机科学 2024-09-10 Lucile Favero , Juan Antonio Pérez-Ortiz , Tanja Käser , Nuria Oliver

Lyrics-to-melody generation is an interesting and challenging topic in AI music research field. Due to the difficulty of learning the correlations between lyrics and melody, previous methods suffer from low generation quality and lack of…

声音 · 计算机科学 2023-06-06 Zhe Zhang , Yi Yu , Atsuhiro Takasu

This paper investigates the potential of LLM-based conversational agents (CAs) to enhance critical reflection and mitigate design fixation in group design work. By challenging AI-generated recommendations and prevailing group opinions,…

人机交互 · 计算机科学 2024-06-18 Soohwan Lee , Seoyeong Hwang , Kyungho Lee

Accuracy remains a standard metric for evaluating AI systems, but it offers limited insight into how models arrive at their solutions. In this work, we introduce a benchmark based on brainteasers written in long narrative form to probe more…

Large language models (LLMs) have achieved remarkable progress in solving various natural language processing tasks due to emergent reasoning abilities. However, LLMs have inherent limitations as they are incapable of accessing up-to-date…

计算与语言 · 计算机科学 2023-11-01 Pan Lu , Baolin Peng , Hao Cheng , Michel Galley , Kai-Wei Chang , Ying Nian Wu , Song-Chun Zhu , Jianfeng Gao

Creativity is a valuable human skill that has long been augmented through both analog and digital tools. Recent progress in generative AI, such as image generation, provides a disruptive technological solution to supporting human creativity…

The rapid advancement of Artificial Intelligence has resulted in the advent of Large Language Models (LLMs) with the capacity to produce text that closely resembles human communication. These models have been seamlessly integrated into…

机器学习 · 计算机科学 2025-02-04 Zenon Lamprou , Yashar Moshfeghi

Exposure to large language model output is rapidly increasing. How will seeing AI-generated ideas affect human ideas? We conducted an experiment (800+ participants, 40+ countries) where participants viewed creative ideas that were from…

计算机与社会 · 计算机科学 2025-08-01 Joshua Ashkinaze , Julia Mendelsohn , Li Qiwei , Ceren Budak , Eric Gilbert

Personalized support is essential to fulfill individuals' emotional needs and sustain their mental well-being. Large language models (LLMs), with great customization flexibility, hold promises to enable individuals to create their own…

人机交互 · 计算机科学 2025-05-01 Xi Zheng , Zhuoyang Li , Xinning Gui , Yuhan Luo

Independent learners often struggle with sustaining focus and emotional regulation in unstructured or distracting settings. Although some rely on ambient aids such as music, ASMR, or visual backgrounds to support concentration, these tools…

人工智能 · 计算机科学 2025-05-07 George Xi Wang , Jingying Deng , Safinah Ali

This paper presents a new educational framework for integrating generative artificial intelligence (GenAI) platforms such as ChatGPT, Claude, and Gemini into laboratory activities aimed at developing critical thinking and digital literacy…

计算机与社会 · 计算机科学 2025-07-02 Vasiliy Znamenskiy , Rafael Niyazov , Joel Hernandez

Artificial Intelligence (AI)-generated feedback in educational settings has garnered considerable attention due to its potential to enhance learning outcomes. However, a comprehensive understanding of the linguistic characteristics of…

计算与语言 · 计算机科学 2025-05-01 Antoun Yaacoub , Zainab Assaghir , Lionel Prevost , Jérôme Da-Rugna

Large language models (LLMs) excel at processing and generating both text and code. However, LLMs have had limited applicability in grounded task-oriented dialogue as they are difficult to steer toward task objectives and fail to handle…

计算与语言 · 计算机科学 2023-10-27 Justin T. Chiu , Wenting Zhao , Derek Chen , Saujas Vaduguru , Alexander M. Rush , Daniel Fried