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相关论文: A Systematic Assessment of OpenAI o1-Preview for H…

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This study evaluates the performance of OpenAI's o1-preview model in higher-order cognitive domains, including critical thinking, systematic thinking, computational thinking, data literacy, creative thinking, logical reasoning, and…

计算机与社会 · 计算机科学 2024-12-10 Ehsan Latif , Yifan Zhou , Shuchen Guo , Lehong Shi , Yizhu Gao , Matthew Nyaaba , Arne Bewerdorff , Xiantong Yang , Xiaoming Zhai

The processes underlying human cognition are often divided into System 1, which involves fast, intuitive thinking, and System 2, which involves slow, deliberate reasoning. Previously, large language models were criticized for lacking the…

计算机与社会 · 计算机科学 2024-10-28 Joost de Winter , Dimitra Dodou , Yke Bauke Eisma

Recent advancements in Large Language Models (LLMs) have showcased their ability to perform complex reasoning tasks, but their effectiveness in planning remains underexplored. In this study, we evaluate the planning capabilities of OpenAI's…

人工智能 · 计算机科学 2024-10-15 Kevin Wang , Junbo Li , Neel P. Bhatt , Yihan Xi , Qiang Liu , Ufuk Topcu , Zhangyang Wang

OpenAI o1 represents a significant milestone in Artificial Inteiligence, which achieves expert-level performances on many challanging tasks that require strong reasoning ability.OpenAI has claimed that the main techinique behinds o1 is the…

人工智能 · 计算机科学 2024-12-19 Zhiyuan Zeng , Qinyuan Cheng , Zhangyue Yin , Bo Wang , Shimin Li , Yunhua Zhou , Qipeng Guo , Xuanjing Huang , Xipeng Qiu

Creativity is a fundamental pillar of human expression and a driving force behind innovation, yet it now stands at a crossroads. As artificial intelligence advances at an astonishing pace, the question arises: can machines match and…

综合经济学 · 经济学 2024-09-30 Anne-Gaëlle Maltese , Pierre Pelletier , Rémy Guichardaz

The growing use of artificial intelligence (AI) in education, professional work, and everyday problem-solving has raised important questions about its effect on human reasoning. While AI can improve efficiency, save time, and support…

人机交互 · 计算机科学 2026-04-22 M Murshidul Bari , Akif Islam , Mohd Ruhul Ameen , Abu Saleh Musa Miah , Jungpil Shin

Recent progress in artificial intelligence (AI) has renewed interest in building systems that learn and think like people. Many advances have come from using deep neural networks trained end-to-end in tasks such as object recognition, video…

人工智能 · 计算机科学 2016-11-03 Brenden M. Lake , Tomer D. Ullman , Joshua B. Tenenbaum , Samuel J. Gershman

The releases of OpenAI's o-[n] series, such as o1, o3, and o4-mini, mark a significant paradigm shift in Large Language Models towards advanced reasoning capabilities. Notably, models like o3 have demonstrated strong performance on…

计算机视觉与模式识别 · 计算机科学 2025-05-22 Vernon Y. H. Toh , Yew Ken Chia , Deepanway Ghosal , Soujanya Poria

A key objective in artificial intelligence (AI) development is to create systems that match or surpass human creativity. Although current AI models perform well across diverse creative tasks, it remains unclear whether these achievements…

人机交互 · 计算机科学 2025-04-01 Man Zhang , Ying Li , Yang Peng , Yijia Sun , Wenxin Guo , Huiqing Hu , Shi Chen , Qingbai Zhao

The increasing use of Generative Artificial Intelligence (GAI) tools in education highlights the need to understand their influence on individuals' thinking processes and agency. This research explored 20 university students' interaction…

人机交互 · 计算机科学 2024-12-02 Tianlong Zhong , Gaoxia Zhu , Kang You Lim , Yew Soon Ong

Optimizing human-AI interaction requires users to reflect on their own performance critically. Our paper examines whether people using AI to complete tasks can accurately monitor how well they perform. In Study 1, participants (N = 246)…

Generative AI systems have rapidly advanced, with multimodal input capabilities enabling reasoning beyond text-based tasks. In education, these advancements could influence assessment design and question answering, presenting both…

计算机与社会 · 计算机科学 2025-07-08 Aymeric de Chillaz , Anna Sotnikova , Patrick Jermann , Antoine Bosselut

The remarkable performance of models like the OpenAI o1 can be attributed to their ability to emulate human-like long-time thinking during inference. These models employ extended chain-of-thought (CoT) processes, exploring multiple…

Large language models (LLMs) such as OpenAI's o1 have demonstrated remarkable abilities in complex reasoning tasks by scaling test-time compute and exhibiting human-like deep thinking. However, we identify a phenomenon we term…

In AI-rich higher education, polished written mathematics has become easier to produce than trustworthy evidence of understanding. This article develops a human-scale methodology for service mathematics, with informatics as its main running…

历史与综述 · 数学 2026-04-13 Siniša Miličić

National and international policy efforts increasingly promote AI literacy in K--12 education, yet access to AI tools alone is insufficient to ensure equitable and responsible participation, particularly in under-resourced contexts. Without…

计算机与社会 · 计算机科学 2026-03-30 Valentina Kuskova , Sonia Howell , Brianna Stines , Brianna Conaghan

The idea of augmented or hybrid intelligence offers a compelling vision for combining human and AI capabilities, especially in tasks where human wisdom, expertise, or common sense are essential. Unfortunately, human reasoning can be flawed…

人机交互 · 计算机科学 2026-01-15 Sean Koon

Question: What is the performance and reasoning ability of OpenAI o1 compared to other large language models in addressing ophthalmology-specific questions? Findings: This study evaluated OpenAI o1 and five LLMs using 6,990 ophthalmological…

Large language models (LLMs) have exhibited remarkable capabilities across various domains and tasks, pushing the boundaries of our knowledge in learning and cognition. The latest model, OpenAI's o1, stands out as the first LLM with an…

计算与语言 · 计算机科学 2024-09-24 Yunfei Xie , Juncheng Wu , Haoqin Tu , Siwei Yang , Bingchen Zhao , Yongshuo Zong , Qiao Jin , Cihang Xie , Yuyin Zhou
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