DeepSeek

Studies tagged with AI from their full text or abstract; see each study for details.

Showing 61 - 90 of 120 studies

Llms4All: A Review Of Large Language Models Across Academic Disciplines

Yanfang (Fanny) Ye*, Zheyuan Zhang, Tianyi Ma, Zehong Wang, Yiyang Li, Shifu Hou, Weixiang Sun, Kaiwen Shi, Yijun Ma, Wei Song, Ahmed Abbasi, Ying Cheng, Jane Cleland-Huang, Steven Corcelli, Robert Goulding, Ming Hu, Ting Hua, John Lalor, Fang Liu, Tengfei Luo, Edward Maginn, Nuno Moniz, Jason Rohr, Brett Savoie, Daniel Slate, Matthew Webber, Olaf Wiest, Johnny Zhang, Nitesh V Chawla. (11/2025). arXiv. https://arxiv.org/abs/2509.19580v5
Edumod-Llm: A Modular Approach For Designing Flexible And Transparent Educational Assistants

Meenakshi Mittal, Rishi Khare, Mihran Miroyan, Chancharik Mitra, Narges Norouzi. (11/2025). arXiv. https://arxiv.org/abs/2511.21742v1
Hise-Kt: Synergizing Heterogeneous Information Networks And Llms For Explainable Knowledge Tracing With Meta-Path Optimization

Zhiyi Duan, Zixing Shi, Hongyu Yuan, Qi Wang. (11/2025). arXiv. https://arxiv.org/abs/2511.15191v1
Pustak Ai: Curriculum-Aligned And Interactive Textbooks Using Large Language Models

Shivam Sharma, Riya Naik, Tejas Gawas, Heramb Patil, Kunal Korgaonkar. (11/2025). arXiv. https://arxiv.org/abs/2511.10002v2
A Matter Of Interest: Understanding Interestingness Of Math Problems In Humans And Language Models

Shubhra Mishra, Yuka Machino, Gabriel Poesia, Albert Jiang, Joy Hsu, Adrian Weller, Challenger Mishra, David Broman, Joshua B. Tenenbaum, Mateja Jamnik, Cedegao E. Zhang, Katherine M. Collins. (11/2025). arXiv. https://arxiv.org/abs/2511.08548v1
Emnlp: Educator-Role Moral And Normative Large Language Models Profiling

Yilin Jiang, Mingzi Zhang, Sheng Jin, Zengyi Yu, Xiangjie Kong, Binghao Tu. (11/2025). arXiv. https://arxiv.org/abs/2508.15250v3
Mentor: A Metacognition-Driven Self-Evolution Framework For Uncovering And Mitigating Implicit Risks In Llms On Domain Tasks

Liang Shan, Kaicheng Shen, Wen Wu, Zhenyu Ying, Chaochao Lu, Guangze Ye, Liang He. (11/2025). arXiv. https://arxiv.org/abs/2511.07107v1
Eduguardbench: A Holistic Benchmark For Evaluating The Pedagogical Fidelity And Adversarial Safety Of Llms As Simulated Teachers

Yilin Jiang, Mingzi Zhang, Xuanyu Yin, Sheng Jin, Suyu Lu, Zuocan Ying, Zengyi Yu, Xiangjie Kong. (11/2025). arXiv. https://arxiv.org/abs/2511.06890v1
Eduagentqg: A Multi-Agent Workflow Framework For Personalized Question Generation

Rui Jia, Min Zhang, Fengrui Liu, Bo Jiang, Kun Kuang, Zhongxiang Dai. (11/2025). arXiv. https://arxiv.org/abs/2511.11635v1
Physicseval: Inference-Time Techniques To Improve The Reasoning Proficiency Of Large Language Models On Physics Problems

Oshayer Siddique, J. M Areeb Uzair Alam, Md Jobayer Rahman Rafy, Syed Rifat Raiyan, Hasan Mahmud, Md Kamrul Hasan. (11/2025). arXiv. https://arxiv.org/abs/2508.00079v2
Autograder+: A Multi-Faceted Ai Framework For Rich Pedagogical Feedback In Programming Education

Vikrant Sahu, Raghav Borikar, Gagan Raj Gupta, Nitin Mane. (10/2025). arXiv. https://arxiv.org/abs/2510.26402v1
Building Ai Literacy At Home: How Families Navigate Children'S Self-Directed Learning With Ai

Jingyi Xie, Chuhao Wu, Ge Wang, Rui Yu, He Zhang, Ronald Metoyer, Si Chen. (10/2025). arXiv. https://arxiv.org/abs/2510.24070v1
Banglamath : A Bangla Benchmark Dataset For Testing Llm Mathematical Reasoning At Grades 6, 7, And 8

Tabia Tanzin Prama, Christopher M. Danforth, Peter Sheridan Dodds. (10/2025). arXiv. http://arxiv.org/abs/2510.12836v1
Interactscience: Programmatic And Visually-Grounded Evaluation Of Interactive Scientific Demonstration Code Generation

Qiaosheng Chen, Yang Liu, Lei Li, Kai Chen, Qipeng Guo, Gong Cheng, Fei Yuan. (10/2025). arXiv. http://arxiv.org/abs/2510.09724v1
From Handwriting To Feedback: Evaluating Vlms And Llms For Ai-Powered Assessment In Indonesian Classrooms

Nurul Aisyah, Muhammad Dehan Al Kautsar, Arif Hidayat, Raqib Chowdhury, Fajri Koto. (10/2025). arXiv. http://arxiv.org/abs/2506.04822v2
Investigating Students' Preferences For Ai Roles In Mathematical Modelling: Evidence From A Randomized Controlled Trial

Wangda Zhu, Guang CHEN, Yumeng Zhu, Lei Cai, Xiangen Hu. (10/2025). arXiv. http://arxiv.org/abs/2510.06617v1
Edupersona: Benchmarking Subjective Ability Boundaries Of Virtual Student Agents

Buyuan Zhu, Shiyu Hu, Yiping Ma, Yuanming Zhang, Kang Hao Cheong. (10/2025). arXiv. http://arxiv.org/abs/2510.04648v1
Seephys: Does Seeing Help Thinking? Benchmarking Vision-Based Physics Reasoning

Kun Xiang, Heng Li, Terry Jingchen Zhang, Yinya Huang, Zirong Liu, Peixin Qu, Jixi He, Jiaqi Chen, Yu-Jie Yuan, Jianhua Han, Hang Xu, Hanhui Li, Mrinmaya Sachan, Xiaodan Liang. (10/2025). arXiv. http://arxiv.org/abs/2505.19099v8
Human Empathy As Encoder: Ai-Assisted Depression Assessment In Special Education

Boning Zhao, Xinnuo Li, Yutong Hu. (10/2025). arXiv. http://arxiv.org/abs/2505.23631v3
LLMS4ALL: A Review On Large Language Models For Research And Applications In Academic Disciplines

Yanfang (Fanny) Ye*, Zheyuan Zhang, Tianyi Ma, Zehong Wang, Yiyang Li, Shifu Hou, Weixiang Sun, Kaiwen Shi, Yijun Ma, Wei Song, Ahmed Abbasi, Ying Cheng, Jane Cleland-Huang, Steven Corcelli, Robert Goulding, Ming Hu, Ting Hua, John Lalor, Fang Liu, Tengfei Luo, Ed Maginn, Nuno Moniz, Jason Rohr, Brett Savoie, Daniel Slate, Tom Stapleford, Matthew Webber, Olaf Wiest, Johnny Zhang, Nitesh V Chawla. (09/2025). arXiv. http://arxiv.org/pdf/2509.19580v3
Analysis of instruction-based LLMs' capabilities to score and judge text-input problems in an academic setting

Valeria Ramirez-Garcia, David de-Fitero-Dominguez, Antonio Garcia-Cabot, Eva Garcia-Lopez. (09/2025). arXiv. http://arxiv.org/pdf/2509.20982v1
A Mega-Study Of Digital Twins Reveals Strengths, Weaknesses And Opportunities For Further Improvement

Tiany Peng, George Gui, Daniel J. Merlau, Grace Jiarui Fan, Malek Ben Sliman, Melanie Brucks, Eric J. Johnson, Vicki Morwitz, Abdullah Althenayyan, Silvia Bellezza, Dante Donati, Hortense Fong, Elizabeth Friedman, Ariana Guevara, Mohamed Hussein, Kinshuk Jerath, Bruce Kogut, Kristen Lane, Hannah Li, Patryk Perkowski, Oded Netzer, Olivier Toubia. (09/2025). arXiv. http://arxiv.org/pdf/2509.19088v1
OnlineMate: An LLM-Based Multi-Agent Companion System for Cognitive Support in Online Learning

Xian Gao, Zongyun Zhang, Ting Liu, Yuzhuo Fu. (09/2025). arXiv. http://arxiv.org/pdf/2509.14803v2
YouthSafe: A Youth-Centric Safety Benchmark and Safeguard Model for Large Language Models

Yaman Yu, Yiren Liu, Jacky Zhang, Yun Huang, Yang Wang. (09/2025). arXiv. http://arxiv.org/pdf/2509.08997v1
Deploying AI for Signal Processing education: Selected challenges and intriguing opportunities

Jarvis Haupt, Qin Lu, Yanning Shen, Jia Chen, Yue Dong, Dan McCreary, Mehmet Akcakaya, Georgios B. Giannakis. (09/2025). arXiv. http://arxiv.org/pdf/2509.08950v1
MathBuddy: A Multimodal System for Affective Math Tutoring

Debanjana Kar, Leopold Böss, Dacia Braca, Sebastian Maximilian Dennerlein, Nina Christine Hubig, Philipp Wintersberger, Yufang Hou. (08/2025). arXiv. http://arxiv.org/pdf/2508.19993v1
ZPD-SCA: Unveiling the Blind Spots of LLMs in Assessing Students' Cognitive Abilities

Wenhan Dong, Zhen Sun, Yuemeng Zhao, Zifan Peng, Jun Wu, Jingyi Zheng, Yule Liu, Xinlei He*, Yu Wang, Ruiming Wang, Xinyi Huang, Lei Mo*. (08/2025). arXiv. http://arxiv.org/pdf/2508.14377v2
Alvorada-Bench: Can Language Models Solve Brazilian University Entrance Exams?

Henrique Godoy. (08/2025). arXiv. http://arxiv.org/pdf/2508.15835v1
Too Easily Fooled? Prompt Injection Breaks LLMs on Frustratingly Simple Multiple-Choice Questions

Xuyang Guo, Zekai Huang, Zhao Song, Jiahao Zhang. (08/2025). arXiv. http://arxiv.org/pdf/2508.13214v1
Mathematical Computation and Reasoning Errors by Large Language Models

Liang Zhang, Edith Aurora Graf. (08/2025). arXiv. http://arxiv.org/pdf/2508.09932v2