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The growing integration of generative AI in higher education is transforming how students write, learn, and engage with knowledge. As AI tools become more integrated into classrooms, there is an urgent need for pedagogical approaches that…

计算机与社会 · 计算机科学 2025-11-21 Xinran Zhu , Cong Wang , Duane Searsmith

The growing use of generative AI tools like ChatGPT has raised urgent concerns about their impact on student learning, particularly the potential erosion of critical thinking and creativity. As students increasingly turn to these tools to…

计算机与社会 · 计算机科学 2025-04-01 Muhammad Sajjad Akbar

Large Language Models (LLMs) can compose poetry, but how far are they from human poets? In this paper, we introduce POEMetric, the first comprehensive framework for poetry evaluation, examining 1) basic instruction-following abilities in…

计算与语言 · 计算机科学 2026-04-07 Bingru Li , Han Wang , Hazel Wilkinson

Recent advances in multimodal large language models (LLMs) have made it easier to rapidly prototype AI-powered features, especially for mobile use cases. However, gathering early, mobile-situated user feedback on these AI prototypes remains…

This study explores the integration of generative artificial intelligence (AI), specifically large language models, with multi-modal analogical reasoning as an innovative approach to enhance science, technology, engineering, and mathematics…

人工智能 · 计算机科学 2023-08-22 Chen Cao , Zijian Ding , Gyeong-Geon Lee , Jiajun Jiao , Jionghao Lin , Xiaoming Zhai

Recent research shows that greater numbers of people are turning to Large Language Models (LLMs) for emotional support, and that people rate LLM responses as more empathic than human-written responses. We suggest a reason for this success:…

计算与语言 · 计算机科学 2026-04-10 Emma Gueorguieva , Hongli Zhan , Jina Suh , Javier Hernandez , Tatiana Lau , Junyi Jessy Li , Desmond C. Ong

In recent years, generative AI has undergone major advancements, demonstrating significant promise in augmenting human productivity. Notably, large language models (LLM), with ChatGPT-4 as an example, have drawn considerable attention.…

人机交互 · 计算机科学 2024-01-23 Sida Peng , Wojciech Swiatek , Allen Gao , Paul Cullivan , Haoge Chang

Increasingly, large language models (LLMs) are being used to automate workplace processes requiring a high degree of creativity. While much prior work has examined the creativity of LLMs, there has been little research on whether they can…

计算与语言 · 计算机科学 2024-09-04 Antonio Laverghetta , Simone Luchini , Averie Linell , Roni Reiter-Palmon , Roger Beaty

Tool-augmented LLMs are a promising approach to create AI agents that can have realistic conversations, follow procedures, and call appropriate functions. However, evaluating them is challenging due to the diversity of possible…

计算与语言 · 计算机科学 2024-10-11 Samuel Arcadinho , David Aparicio , Mariana Almeida

Many AI systems focus solely on providing solutions or explaining outcomes. However, complex tasks like research and strategic thinking often benefit from a more comprehensive approach to augmenting the thinking process rather than…

人机交互 · 计算机科学 2024-12-25 Soya Park , Hari Subramonyam , Chinmay Kulkarni

This paper introduces WordArt Designer, a user-driven framework for artistic typography synthesis, relying on the Large Language Model (LLM). The system incorporates four key modules: the LLM Engine, SemTypo, StyTypo, and TexTypo modules.…

This paper presents the development of an AI-powered workflow that uses Large Language Models (LLMs) to assist in drafting schematic architectural floor plans from natural language prompts. The proposed system interprets textual input to…

人工智能 · 计算机科学 2025-09-03 Jayakrishna Duggempudi , Lu Gao , Ahmed Senouci , Zhe Han , Yunpeng Zhang

We evaluate the effectiveness of LLM-Tutor, a large language model (LLM)-powered tutoring system that combines an AI-based proof-review tutor for real-time feedback on proof-writing and a chatbot for mathematics-related queries. Our…

Large language models (LLMs) are increasingly embedded in AI-based tutoring systems. Can they faithfully model novice reasoning and metacognitive judgments? Existing evaluations emphasize problem-solving accuracy, overlooking the fragmented…

计算与语言 · 计算机科学 2026-05-12 Conrad Borchers , Jill-Jênn Vie , Roger Azevedo

Artificial intelligence (AI) is transforming society, making it crucial to prepare the next generation through AI literacy in K-12 education. However, scalable and reliable AI literacy materials and assessment resources are lacking. To…

人机交互 · 计算机科学 2024-12-03 Jiayi Wang , Ruiwei Xiao , Ying-Jui Tseng

New systems employ Machine Learning to sift through large knowledge sources, creating flexible Large Language Models. These models discern context and predict sequential information in various communication forms. Generative AI, leveraging…

人工智能 · 计算机科学 2023-07-19 Ted Selker

Recent advancements in artificial intelligence have propelled the capabilities of Large Language Models, yet their ability to mimic nuanced human reasoning remains limited. This paper introduces a novel conceptual enhancement to LLMs,…

人机交互 · 计算机科学 2024-04-23 Sumedh Rasal

Sketching is a widely used medium for generating and exploring early-stage design concepts. While generative AI (GenAI) chatbots are increasingly used for idea generation, designers often struggle to craft effective prompts and find it…

人机交互 · 计算机科学 2025-11-19 Weiyan Shi , Sunaya Upadhyay , Geraldine Quek , Kenny Tsu Wei Choo

Large language models (LLMs) can help writers build story worlds by generating world elements, such as factions, characters, and locations. However, making sense of many generated elements can be overwhelming. Moreover, if the user wants to…

人机交互 · 计算机科学 2024-08-09 John Joon Young Chung , Max Kreminski

Investigating NLP through a philosophical lens has recently caught researchers' eyes, as it bridges computational methods with classical schools of philosophy. This paper introduces a philosophical framework inspired by the Hegelian…

计算与语言 · 计算机科学 2025-06-25 Sara Abdali , Can Goksen , Michael Solodko , Saeed Amizadeh , Julie E. Maybee , Kazuhito Koishida