Llama

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

Showing 211 - 230 of 230 studies

MalAlgoQA: Pedagogical Evaluation of Counterfactual Reasoning in Large Language Models and Implications for AI in Education

Naiming Liu, MyCo Le, Shashank Sonkar, Richard G. Baraniuk. (10/2024). arXiv. https://arxiv.org/pdf/2407.00938
How to Align Large Language Models for Teaching English? Designing and Developing LLM based-Chatbot for Teaching English Conversation in EFL, Findings and Limitations

Jaekwon Park, Jiyoung Bae, Unggi Lee, Taekyung Ahn, Sookbun Lee, Dohee Kim, Aram Choi, Yeil Jeong, Jewoong Moon, Hyeoncheol Kim. (09/2024). arXiv. http://arxiv.org/pdf/2409.04987v1
Are Large Language Models Good Essay Graders?

Anindita Kundu, Denilson Barbosa. (09/2024). arXiv. http://arxiv.org/pdf/2409.13120v1
"My Grade is Wrong!": A Contestable AI Framework for Interactive Feedback in Evaluating Student Essays

Shengxin Hong, Chang Cai, Sixuan Du, Haiyue Feng, Siyuan Liu, Xiuyi Fan. (09/2024). arXiv. http://arxiv.org/pdf/2409.07453v1
Using Generative Artificial Intelligence Creatively in the Classroom: Examples and Lessons Learned

Maria J. Molina, Amy McGovern, Jhayron S. Perez-Carrasquilla, Robin L. Tanamachi. (09/2024). arXiv. http://arxiv.org/pdf/2409.05176v1
Dr.Academy: A Benchmark for Evaluating Questioning Capability in Education for Large Language Models

Yuyan Chen, Chenwei Wu, Songzhou Yan, Panjun Liu, Haoyu Zhou, Yanghua Xiao. (08/2024). arXiv. http://arxiv.org/pdf/2408.10947v1
RAMO: Retrieval-Augmented Generation for Enhancing MOOCs Recommendations

Jiarui Rao, Jionghao Lin. (07/2024). arXiv. http://arxiv.org/pdf/2407.04925v1
Stepwise Verification and Remediation of Student Reasoning Errors with Large Language Model Tutors

Nico Daheim, Jakub Macina, Manu Kapur, Iryna Gurevych, Mrinmaya Sachan. (07/2024). arXiv. http://arxiv.org/pdf/2407.09136v1
Building a Domain-specific Guardrail Model in Production

Mohammad Niknazar, Paul V Haley, Latha Ramanan, Sang Truong, Yedendra Shrinivasan, Ayan Kumar Bhowmick, Prasenjit Dey, Ashish Jagmohan, Hema Maheshwari, Shom Ponoth, Robert Smith, Aditya Vempaty, Nick Haber, Sanmi Koyejo, Sharad Sundararajan. (07/2024). arXiv. http://arxiv.org/pdf/2408.01452v1
Enhancing Computer Programming Education with LLMs: A Study On Effective Prompt Engineering for Python Code Generation

Tianyu Wang, Nianjun Zhou, Zhixiong Chen. (07/2024). arXiv. http://arxiv.org/pdf/2407.05437v1
Exposing the Achilles' Heel: Evaluating LLMs Ability to Handle Mistakes in Mathematical Reasoning

Joykirat Singh, Akshay Nambi, Vibhav Vineet. (06/2024). arXiv. http://arxiv.org/pdf/2406.10834v1
Human-AI Collaborative Essay Scoring: A Dual-Process Framework with LLMs

Changrong Xiao, Wenxing Ma, Qingping Song, Sean Xin Xu, Kunpeng Zhang, Yufang Wang, Qi Fu. (06/2024). arXiv. https://arxiv.org/pdf/2401.06431
Large Language Models for In-Context Student Modeling: Synthesizing Student's Behavior in Visual Programming

Manh Hung Nguyen, Sebastian Tschiatschek, Adish Singla. (05/2024). arXiv. http://arxiv.org/pdf/2310.10690v3
JiuZhang3.0: Efficiently Improving Mathematical Reasoning by Training Small Data Synthesis Models

Kun Zhou, Beichen Zhang, Jiapeng Wang, Zhipeng Chen, Wayne Xin Zhao, Jing Sha, Zhichao Sheng, Shijin Wang, Ji-Rong Wen. (05/2024). arXiv. http://arxiv.org/pdf/2405.14365v1
Clue-Instruct: Text-Based Clue Generation for Educational Crossword Puzzles

Andrea Zugarini, Kamyar Zeinalipour, Surya Sai Kadali, Marco Maggini, Marco Gori, Leonardo Rigutini. (04/2024). arXiv. http://arxiv.org/pdf/2404.06186v1
Bridging the Novice-Expert Gap via Models of Decision-Making: A Case Study on Remediating Math Mistakes

Rose Wang, Qingyang Zhang, Carly D. Robinson, Susanna Loeb, Dorottya Demszky. (04/2024). arXiv. http://arxiv.org/pdf/2310.10648v3
Adapting Large Language Models for Education: Foundational Capabilities, Potentials, and Challenges

Qingyao Li, Lingyue Fu, Weiming Zhang, Xianyu Chen, Jingwei Yu, Wei Xia, Weinan Zhang, Ruiming Tang, Yong Yu. (04/2024). arXiv. http://arxiv.org/pdf/2401.08664v3
Generative AI for Education (GAIED): Advances, Opportunities, and Challenges

Paul Denny, Sumit Gulwani, Neil Heffernan, Tanja Kaser, Steven Moore, Anna N. Rafferty, Adish Singla. (02/2024). arXiv. https://arxiv.org/pdf/2402.01580
New Era of Artificial Intelligence In Education: Towards A Sustainable Multifaceted Revolution

Firuz Kamalov, David Santandreu Calonge, Ikhlaas Gurrib. (10/2023). arXiv. http://arxiv.org/pdf/2305.18303v2
The BEA 2023 Shared Task on Generating AI Teacher Responses in Educational Dialogues

Anaïs Tack, Ekaterina Kochmar, Zheng Yuan, Serge Bibauw, Chris Piech. (06/2023). arXiv. http://arxiv.org/pdf/2306.06941v1