Llama

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

Showing 61 - 90 of 230 studies

On The Effectiveness Of Llm-Specific Fine-Tuning For Detecting Ai-Generated Text

Michał Gromadzki, Anna Wróblewska, Agnieszka Kaliska. (01/2026). arXiv. https://arxiv.org/pdf/2601.20006v1
Evolution Of Al In Education: Agentic Workflows

Firuz Kamalov, David Santandreu Calonge, Linda Smail, Dilshod Azizov, Dimple R. Thadani, Theresa Kwong, Amara Atif. (01/2026). arXiv. https://arxiv.org/pdf/2504.20082v2
Alignagent: Adaptive Learner Intelligence For Gap Identification And Next-Step Guidance

Bismack Tokoli, Luis Jaimes, Ayesha Siddiqua Dina. (01/2026). arXiv. https://arxiv.org/pdf/2601.15551v1
Machine-Assisted Grading Of Nationwide School-Leaving Essay Exams With Llms And Statistical Nlp

Andres Karjus, Kais Allkivi, Silvia Maine, Katarin Leppik, Krister Kruusmaa, Merilin Aruvee. (01/2026). arXiv. https://arxiv.org/pdf/2601.16314v1
Llm Prompt Evaluation For Educational Applications

Langdon Holmes, Adam Coscia, Scott Crossley, Joon Suh Choi, Wesley Morris. (01/2026). arXiv. https://arxiv.org/pdf/2601.16134v1
Mathedu: Feedback Generation On Problem-Solving Processes For Mathematical Learning Support

Wei-Ling Hsu, Yu-Chien Tang, An-Zi Yen. (01/2026). arXiv. https://arxiv.org/pdf/2505.18056v2
Conversations Over Clicks: Impact Of Chatbots On Information Search In Interdisciplinary Learning

Hannah Kim, Sergei L. Kosakovsky Pond, Stephen MacNeil. (01/2026). arXiv. https://arxiv.org/pdf/2507.21490v2
Evaluating 21St-Century Competencies In Postsecondary Curricula With Large Language Models: Performance Benchmarking And Reasoning-Based Prompting Strategies

Zhen Xu, Xin Guan, Chenxi Shi, Qinhao Chen, Renzhe Yu. (01/2026). arXiv. https://arxiv.org/pdf/2601.10983v1
A Survey Of Self-Evolving Agents What, When, How, And Where To Evolve On The Path To Artificial Super Intelligence

Huan-ang Gao, Jiayi Geng, Wenyue Hua, Mengkang Hu, Xinzhe Juan, Hongzhang Liu, Shilong Liu, Jiahao Qiu, Xuan Qi, Qihan Ren, Yiran Wu, Hongru Wang, Han Xiao, Yuhang Zhou, Shaokun Zhang, Jiayi Zhang, Jinyu Xiang, Yixiong Fang, Qiwen Zhao, Dongrui Liu, Cheng Qian, Zhenhailong Wang, Minda Hu, Huazheng Wang, Qingyun Wu, Heng Ji, Mengdi Wang. (01/2026). arXiv. https://arxiv.org/pdf/2507.21046v4
Pats: Personality-Aware Teaching Strategies With Large Language Model Tutors

Donya Rooein, Sankalan Pal Chowdhury, Mariia Eremeeva, Yuan Qin, Debora Nozza, Mrinmaya Sachan, Dirk Hovy. (01/2026). arXiv. https://arxiv.org/pdf/2601.08402v1
Classroom Ai: Large Language Models As Grade-Specific Teachers

Jio Oh, Steven Euijong Whang, James Evans, Jindong Wang. (01/2026). arXiv. https://arxiv.org/pdf/2601.06225v1
Dissecting Physics Reasoning In Small Language Models: A Multi-Dimensional Analysis From An Educational Perspective

Nicy Scaria, Silvester John Joseph Kennedy, Krishna Agarwal, Diksha Seth, Deepak Subramani. (01/2026). arXiv. https://arxiv.org/pdf/2505.20707v2
Malrulelib: Large-Scale Executable Misconception Reasoning With Step Traces For Modeling Student Thinking In Mathematics

Xinghe Chen, Naiming Liu, Shashank Sonkar. (01/2026). arXiv. https://arxiv.org/pdf/2601.03217v1
Problems With Large Language Models For Learner Modelling: Why Llms Alone Fall Short For Responsible Tutoring In K-12 Education

Danial Hooshyar, Yeongwook Yang, Gustav Sir, Tommi Karkkainen, Raija Hamalainen, Mutlu Cukurova, Roger Azevedo. (12/2025). arXiv. https://arxiv.org/pdf/2512.23036v1
Unveiling The Learning Mind Of Language Models: A Cognitive Framework And Empirical Study

Zhengyu Hu, Jianxun Lian, Zheyuan Xiao, Seraphina Zhang, Tianfu Wang, Nicholas Jing Yuan, Xing Xie, Hui Xiong. (12/2025). arXiv. https://arxiv.org/pdf/2506.13464v3
Teaching With Ai: A Systematic Review Of Chatbots, Generative Tools, And Tutoring Systems In Programming Education

Said Elnaffar, Farzad Rashidi, Abedallah Zaid Abualkishik. (12/2025). arXiv. https://arxiv.org/pdf/2510.03884v2
An Exploration Of Higher Education Course Evaluation By Large Language Models

Bo Yuan, Jiazi Hu. (12/2025). arXiv. https://arxiv.org/pdf/2411.02455v2
Agenttutor: Empowering Personalized Learning With Multi-Turn Interactive Teaching In Intelligent Education Systems

Yuxin Liu, Zeqing Song, Jiong Lou, Chentao Wu, Jie Li. (12/2025). arXiv. https://arxiv.org/pdf/2601.04219v1
Can Llms Estimate Student Struggles? Human-Ai Difficulty Alignment With Proficiency Simulation For Item Difficulty Prediction

Ming Li, Han Chen, Yunze Xiao, Jian Chen, Hong Jiao, Tianyi Zhou. (12/2025). arXiv. https://arxiv.org/pdf/2512.18880v1
Subjective Question Generation And Answer Evaluation Using Nlp

G. M. Refatul Islam, Safwan Shaheer, Yaseen Nur, Mohammad Rafid Hamid. (12/2025). arXiv. https://arxiv.org/pdf/2512.17289v1
Snapclass: An Ai-Enhanced Classroom Management System For Block-Based Programming

Bahare Riahi, Xiaoyi Tian, Ally Limke, Viktoriia Storozhevykh, Veronica Catete, Tiffany Barnes, Nicholas Lytle, Khushbu Singh. (12/2025). arXiv. https://arxiv.org/pdf/2512.15825v1
Information-Consistent Language Model Recommendations Through Group Relative Policy Optimization

Sonal Prabhune, Balaji Padmanabhan, and Kaushik Dutta. (12/2025). arXiv. https://arxiv.org/pdf/2512.12858v1
Sproutbench: A Benchmark For Safe And Ethical Large Language Models For Youth

Wenpeng Xing, Lanyi Wei, Haixiao Hu, Jingyi Yu, Rongchang Li, Mohan Li, Changting Lin, Meng Han. (12/2025). arXiv. https://arxiv.org/pdf/2508.11009v3
Classifying German Language Proficiency Levels Using Large Language Models

Elias-Leander Ahlers, Witold Brunsmann, Malte Schilling. (12/2025). arXiv. https://arxiv.org/abs/2512.06483v1
GoldMind: A Teacher-Centered Knowledge Management System for Higher Education - Lessons from Iterative Design

Gloria Fernadez-Nieto, Lele Sha, Yuheng Li, Yi-Shan Tsai, Guanliang Chen, Yinwei Wei, Weiqing Wang, Jinchun Wen, Shaveen Singh, Ivan Silva, Yuanfang Li, Dragan Gašević, Zachari Swiecki. (12/2025). arXiv. https://arxiv.org/abs/2508.04377v3
Confident Rag: Enhancing The Performance Of Llms For Mathematics Question Answering Through Multi-Embedding And Confidence Scoring

Shiting Chen, Zijian Zhao, Jinsong Chen. (11/2025). arXiv. https://arxiv.org/abs/2507.17442v3
Cllmrec: Llm-Powered Cognitive-Aware Concept Recommendation Via Semantic Alignment And Prerequisite Knowledge Distillation

Xiangrui Xiong, Yichuan Lu, Zifei Pan, Chang Sun. (11/2025). arXiv. https://arxiv.org/abs/2511.17041v2
Generating Reading Comprehension Exercises With Large Language Models For Educational Applications

Xingyu Huang, Fei Jiang, Jianli Xiao. (11/2025). arXiv. https://arxiv.org/abs/2511.18860v1
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
Enhancing Large Language Models For Automated Homework Assessment In Undergraduate Circuit Analysis

Liangliang Chen, Huiru Xie, Zhihao Qin, Yiming Guo, Jacqueline Rohde, Ying Zhang. (11/2025). arXiv. https://arxiv.org/abs/2511.18221v1