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Technical – Computational
Research synthesis is AI-generated, human reviewed. Updated 09/2025.
Displaying 91 - 120 of 525
Synthguard: An Open Platform For Detecting Ai-Generated Multimedia With Multimodal Llms
Shail Desai, Aditya Pawar, Li Lin, Xin Wang, Shu Hu. (11/2025). arXiv. https://arxiv.org/abs/2511.12404v1
Kgquest: Template-Driven Qa Generation From Knowledge Graphs With Llm-Based Refinement
Sania Nayab, Marco Simoni, Giulio Rossolini, Andrea Saracino. (11/2025). arXiv. https://arxiv.org/abs/2511.11258v1
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
Autosynth: Automated Workflow Optimization For High-Quality Synthetic Dataset Generation Via Monte Carlo Tree Search
Shuzhen Bi, Chang Song, Siyu Song, Jinze Lv, Jian Chen, Xinyun Wang, Aimin Zhou, Hao Hao. (11/2025). arXiv. https://arxiv.org/abs/2511.09488v1
Slidebot: A Multi-Agent Framework For Generating Informative, Reliable, Multi-Modal Presentations
Eric Xie, Danielle Waterfield, Michael Kennedy, Aidong Zhang. (11/2025). arXiv. https://arxiv.org/abs/2511.09804v1
Uco: A Multi-Turn Interactive Reinforcement Learning Method For Adaptive Teaching With Large Language Models
Shouang Wei, Min Zhang, Xin Lin, Bo Jiang, Kun Kuang, Zhongxiang Dai. (11/2025). arXiv. https://arxiv.org/abs/2511.08873v1
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
Diagramir: An Automatic Pipeline For Educational Math Diagram Evaluation
Vishal Kumar, Shubhra Mishra, Rebecca Hao, Rizwaan Malik, David Broman, Dorottya Demszky. (11/2025). arXiv. https://arxiv.org/abs/2511.08283v1
Benchmarking Educational Llms With Analytics: A Case Study On Gender Bias In Feedback
YISHAN DU, CONRAD BORCHERS, MUTLU CUKUROVA. (11/2025). arXiv. https://arxiv.org/abs/2511.08225v1
Report From Workshop On Dialogue Alongside Artificial Intelligence
Thomas J McKenna, Ingvill Rasmussen, Sten Ludvigsen, Avivit Arvatz, Christa Asterhan, Gaowei Chen, Julie Cohen, Michele Flammia, Dongkeun Han, Emma Hayward, Heather Hill, Yifat Kolikant, Helen Lehndorf, Kexin Li, Lindsay Clare Matsumura, Henrik Tj‚àö‚àènn, Pengjin Wang, Rupert Wegerif. (11/2025). arXiv. https://arxiv.org/abs/2511.05625v2
Computational Blueprints: Generating Isomorphic Mathematics Problems With Large Language Models
Jeong-Hoon Kim, Jinwoo Nam, Geunsik Jo. (11/2025). arXiv. https://arxiv.org/abs/2511.07932v1
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
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
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
The Imperfect Learner: Incorporating Developmental Trajectories In Memory-Based Student Simulation
Zhengyuan Liu, Stella Xin Yin, Bryan Chen Zhengyu Tan, Roy Ka-Wei Lee, Guimei Liu, Dion Hoe-Lian Goh, Wenya Wang, Nancy F. Chen. (11/2025). arXiv. https://arxiv.org/abs/2511.05903v1
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
Llm Targeted Underperformance Disproportionately Impacts Vulnerable Users
Elinor Poole-Dayan, Deb Roy, Jad Kabbara. (11/2025). arXiv. https://arxiv.org/abs/2406.17737v2
Extracting Causal Relations In Deep Knowledge Tracing
Kevin Hong, Kia Karbasi, Gregory Pottie. (11/2025). arXiv. https://arxiv.org/abs/2511.03948v1
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
Next Token Knowledge Tracing: Exploiting Pretrained Llm Representations To Decode Student Behaviour.
Max Norris, Kobi Gal and Sahan Bulathwela. (11/2025). arXiv. https://arxiv.org/abs/2511.02599v1
Evaluating Federated Learning For At-Risk Student Prediction: A Comparative Analysis Of Model Complexity And Data Balancing
Rodrigo Tertulino, Ricardo Almeida. (11/2025). arXiv. https://arxiv.org/abs/2508.18316v2
Cognitively-Inspired Episodic Memory Architectures For Accurate And Efficient Character Ai
Rafael Arias Gonzalez and Steve DiPaola. (11/2025). arXiv. https://arxiv.org/abs/2511.10652v1
Consistently Simulating Human Personas With Multi-Turn Reinforcement Learning
Marwa Abdulhai, Ryan Cheng, Donovan Clay, Tim Althoff, Sergey Levine, Natasha Jaques. (10/2025). arXiv. https://arxiv.org/abs/2511.00222v1
Autograder+: A Multi-Faceted Ai Framework For Rich Pedagogical Feedback In Programming Education
Vikrant Sahu, Raghav Borikar, Dr. Gagan Raj Gupta, Nitin Mane. (10/2025). arXiv. https://arxiv.org/abs/2510.26402v1
Privacy-Preserving Distributed Link Predictions Among Peers In Online Classrooms Using Federated Learning
Anurata Prabha Hridi, Rajeev Sahay, Muntasir Hoq, Zhikai Gao, Seyyedali Hosseinalipour, Collin Lynch, Bita Akram. (10/2025). arXiv. https://arxiv.org/abs/2504.10456v2
Aiot-Based Smart Education System: A Dual-Layer Authentication And Context-Aware Tutoring Framework For Learning Environments.
Adithya Neelakantan, Pratik Satpute Prerna Shinde, Tejas Manjunatha Devang. (10/2025). arXiv. https://arxiv.org/abs/2510.26999v1
Measuring Teaching With Llms
Michael Hardy. (10/2025). arXiv. https://arxiv.org/abs/2510.22968v1
Multi-Stakeholder Alignment In Llm-Powered Collaborative Ai Systems: A Multi-Agent Framework For Intelligent Tutoring
Alexandre P Uchoa, Carlo ET Oliveira, Claudia L R Motta, Daniel Schneider. (10/2025). arXiv. https://arxiv.org/abs/2510.23245v1
Pedagogy-Driven Evaluation Of Generative Ai-Powered Intelligent Tutoring Systems
Kaushal Kumar Maurya and Ekaterina Kochmar. (10/2025). arXiv. https://arxiv.org/abs/2510.22581v1
Annotation Guidelines-Based Knowledge Augmentation: Towards Enhancing Large Language Models For Educational Text Classification
Shiqi Liu, Sannyuya Liu, Lele Sha, Zijie Zeng, Dragan Gasevic, Zhi Liu. (10/2025). arXiv. http://arxiv.org/abs/2406.00954v2
