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Researchers have made notable progress in applying Large Language Models (LLMs) to solve math problems, as demonstrated through efforts like GSM8k, ProofNet, AlphaGeometry, and MathOdyssey. This progress has sparked interest in their…

Human-Computer Interaction · Computer Science 2025-03-24 Adit Gupta , Jennifer Reddig , Tommaso Calo , Daniel Weitekamp , Christopher J. MacLellan

Problem solving is an integral part of any physics curriculum, and most physics instructors would likely agree that the associated learner competencies are best assessed by considering the solution path: not only the final solution matters,…

Physics Education · Physics 2023-12-01 Gerd Kortemeyer

This paper introduces a novel benchmark dataset designed to evaluate the capabilities of Vision Language Models (VLMs) on tasks that combine visual reasoning with subject-specific background knowledge in the German language. In contrast to…

Artificial Intelligence · Computer Science 2025-06-30 René Peinl , Vincent Tischler

ChatGPT is a groundbreaking ``chatbot"--an AI interface built on a large language model that was trained on an enormous corpus of human text to emulate human conversation. Beyond its ability to converse in a plausible way, it has attracted…

Physics Education · Physics 2023-03-28 Colin G. West

Artificial Intelligence (AI) and Large Language Models (LLMs) have rapidly evolved in recent years, showcasing remarkable capabilities in natural language understanding and generation. However, these advancements also raise critical ethical…

Computation and Language · Computer Science 2025-05-09 Yehor Tereshchenko , Mika Hämäläinen

This report aims to evaluate the performance of large language models (LLMs) in solving high school science questions and to explore their potential applications in the educational field. With the rapid development of LLMs in the field of…

Computation and Language · Computer Science 2025-05-02 Zhu Jiawei , Chen Wei

We randomly deploy questions constructed with and without use of the LLM tool and gauge the ability of the students to correctly answer, as well as their ability to correctly perceive the difference between human-authored and LLM-authored…

Computers and Society · Computer Science 2025-03-26 Gavin Witsken , Igor Crk , Eren Gultepe

High school physics competitions serve as a platform for talented students to showcase their skills, engage in challenging problems, and foster a passion for science. This paper explores innovative approaches to enhance these competitions…

Physics Education · Physics 2024-03-21 Dominik Borovský , Jozef Hanč , Martina Hančová

Large Language Models (LLMs) are increasingly used in math education not only as problem solvers but also as assessors of learners' reasoning. However, it remains unclear whether stronger math problem-solving ability is associated with…

Artificial Intelligence · Computer Science 2026-03-27 Liang Zhang , Yu Fu , Xinyi Jin

The rapid development of artificial intelligence (AI), marked by breakthroughs like 'AlphaEvolve' and 'Gemini Deep Think', is beginning to offer powerful new tools that have the potential to significantly alter the research practice in many…

History and Overview · Mathematics 2025-08-29 Jonas Henkel

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…

Computation and Language · Computer Science 2025-05-01 Antoun Yaacoub , Zainab Assaghir , Lionel Prevost , Jérôme Da-Rugna

Nowadays, DeepSeek, ChatGPT, and Google Gemini are the most trending and exciting Large Language Model (LLM) technologies for reasoning, multimodal capabilities, and general linguistic performance worldwide. DeepSeek employs a…

Recent math benchmarks for large language models (LLMs) such as MathArena indicate that state-of-the-art reasoning models achieve impressive performance on mathematical competitions like AIME, with the leading model, Gemini-2.5-Pro,…

Large language models (LLMs) have recently become a popular topic in the field of Artificial Intelligence (AI) research, with companies such as Google, Amazon, Facebook, Amazon, Tesla, and Apple (GAFA) investing heavily in their…

Artificial Intelligence · Computer Science 2023-05-11 Frank Joublin , Antonello Ceravola , Joerg Deigmoeller , Michael Gienger , Mathias Franzius , Julian Eggert

Large Language Models (LLMs) are playing an increasingly important role in physics research by assisting with symbolic manipulation, numerical computation, and scientific reasoning. However, ensuring the reliability, transparency, and…

Artificial Intelligence · Computer Science 2025-08-19 Yinggan Xu , Hana Kimlee , Yijia Xiao , Di Luo

As large language models (LLMs) advance, the ultimate vision for their role in science is emerging: we could build an AI collaborator to effectively assist human beings throughout the entire scientific research process. We refer to this…

Students' handwritten math work provides a rich resource for diagnosing cognitive skills, as it captures intermediate reasoning beyond final answers. We investigate how current large language models (LLMs) perform in diagnosing cognitive…

Artificial Intelligence · Computer Science 2026-02-05 Yoonsu Kim , Hyoungwook Jin , Hayeon Doh , Eunhye Kim , Dongyun Jung , Seungju Kim , Kiyoon Choi , Jinho Son , Juho Kim

Pretrained Large Language Models (LLMs) have achieved remarkable success across diverse domains, with education and research emerging as particularly impactful areas. Among current state-of-the-art LLMs, ChatGPT and DeepSeek exhibit strong…

Artificial Intelligence · Computer Science 2025-12-10 Md Mostafizer Rahman , Ariful Islam Shiplu , Md Faizul Ibne Amin , Yutaka Watanobe , Lu Peng

Previous research has reported that large language models (LLMs) demonstrate poor performance on the Chartered Financial Analyst (CFA) exams. However, recent reasoning models have achieved strong results on graduate-level academic and…

Artificial Intelligence · Computer Science 2025-12-10 Jaisal Patel , Yunzhe Chen , Kaiwen He , Keyi Wang , David Li , Kairong Xiao , Xiao-Yang Liu

Large Language Models (LLMs), such as GPT-4, have demonstrated impressive mathematical reasoning capabilities, achieving near-perfect performance on benchmarks like GSM8K. However, their application in personalized education remains limited…

Computer Vision and Pattern Recognition · Computer Science 2025-02-20 Yi-Fan Zhang , Hang Li , Dingjie Song , Lichao Sun , Tianlong Xu , Qingsong Wen
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