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Large Language Model (LLM) agents are transforming education by automating complex pedagogical tasks and enhancing both teaching and learning processes.
The big five personality factors and personal values
Sonia Roccas, Lilach Sagiv, Shalom H Schwartz, and Ariel Knafo. 2002 · 2002
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Building a recommender agent for e-learning systems
Osmar R Zaiane. 2002 · 2002
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Addressing the assessment challenge with an online system that tutors as it assesses
Mingyu Feng, Neil Heffernan, and Kenneth Koedinger. 2009 · 2009
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Modeling exercise relationships in e-learning: A unified approach
Haw-Shiuan Chang, Hwai-Jung Hsu, Kuan-Ta Chen, and 1 others. 2015 · 2015
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Artificial intelligence in education: Challenges and opportunities for sustainable development
Francesc Pedro, Miguel Subosa, Axel Rivas, and Paula Valverde. 2019 · 2019
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Artificial intelligence in education: A review
Lijia Chen, Pingping Chen, and Zhijian Lin. 2020 · 2020
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Beyond the scene: A comparative analysis of two storytelling-based conversational agents
Jackylyn Beredo and Ethel Ong. 2021 · 2021
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Rcd: Relation map driven cognitive diagnosis for intelligent education systems
Weibo Gao, Qi Liu, Zhenya Huang, Yu Yin, Haoyang Bi, Mu-Chun Wang, Jianhui Ma, Shijin Wang, and Yu Su. 2021 · 2021
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What disease does this patient have? a large-scale open domain question answering dataset from medical exams
Di Jin, Eileen Pan, Nassim Oufattole, Wei-Hung Weng, Hanyi Fang, and Peter Szolovits. 2021 · 2021
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Student performance analysis and prediction in classroom learning: A review of educational data mining studies
Anupam Khan and Soumya K Ghosh. 2021 · 2021
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A review of artificial intelligence (ai) in education from 2010 to 2020
Xuesong Zhai, Xiaoyan Chu, Ching Sing Chai, Morris Siu Yung Jong, Andreja Istenic, Michael Spector, Jia-Bao Liu, Jing Yuan, and Yan Li. 2021 · 2021
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Socially interactive agents as peers
Justine Cassell. 2022 · 2022
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Adaptive contrastive learning on multimodal transformer for review helpfulness prediction
Thong Nguyen, Xiaobao Wu, Luu Anh Tuan, Zhen Hai, and Lidong Bing. 2022 · 2022
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Student retention using educational data mining and predictive analytics: a systematic literature review
Dalia Abdulkareem Shafiq, Mohsen Marjani, Riyaz Ahamed Ariyaluran Habeeb, and David Asirvatham. 2022 · 2022
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Tattletale: storytelling with planning and large language models
Nisha Simon and Christian Muise. 2022 · 2022
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A survey on deep learning based knowledge tracing
Xiangyu Song, Jianxin Li, Taotao Cai, Shuiqiao Yang, Tingting Yang, and Chengfei Liu. 2022 · 2022
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Neuralcd: a general framework for cognitive diagnosis
Fei Wang, Qi Liu, Enhong Chen, Zhenya Huang, Yu Yin, Shijin Wang, and Yu Su. 2022 · 2022
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Focus is what you need for chinese grammatical error correction
Jingheng Ye, Yinghui Li, Shirong Ma, Rui Xie, Wei Wu, and Hai-Tao Zheng. 2022 · 2022
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Conversational health agents: A personalized llm-powered agent framework
Mahyar Abbasian, Iman Azimi, Amir M Rahmani, and Ramesh Jain. 2023 · 2023
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Large language models in medical education: opportunities, challenges, and future directions
Alaa Abd-Alrazaq, Rawan AlSaad, Dari Alhuwail, Arfan Ahmed, Padraig Mark Healy, Syed Latifi, Sarah Aziz, Rafat Damseh, Sadam Alabed Alrazak, Javaid Sheikh, and 1 others. 2023 · 2023
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Knowledge tracing: A survey
Ghodai Abdelrahman, Qing Wang, and Bernardo Nunes. 2023 · 2023
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Tosin Adewumi, Lama Alkhaled, Claudia Buck, Sergio Hernandez, Saga Brilioth, Mkpe Kekung, Yelvin Ragimov, and Elisa Barney. 2023 · 2023
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Walking down the memory maze: Beyond context limit through interactive reading
Howard Chen, Ramakanth Pasunuru, Jason Weston, and Asli Celikyilmaz. 2023 · 2023
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FurChat: An embodied conversational agent using LLMs, combining open and closed-domain dialogue with facial expressions
Neeraj Cherakara, Finny Varghese, Sheena Shabana, Nivan Nelson, Abhiram Karukayil, Rohith Kulothungan, Mohammed Afil Farhan, Birthe Nesset, Meriam Moujahid, Tanvi Dinkar, Verena Rieser, and Oliver Lemon. 2023 · 2023
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Lawbench: Benchmarking legal knowledge of large language models
Zhiwei Fei, Xiaoyu Shen, Dawei Zhu, Fengzhe Zhou, Zhuo Han, Songyang Zhang, Kai Chen, Zongwen Shen, and Jidong Ge. 2023 · 2023
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Retrieval-augmented generation for large language models: A survey
Yunfan Gao, Yun Xiong, Xinyu Gao, Kangxiang Jia, Jinliu Pan, Yuxi Bi, Yi Dai, Jiawei Sun, Haofen Wang, and Haofen Wang. 2023 · 2023
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Tora: A tool-integrated reasoning agent for mathematical problem solving
Zhibin Gou, Zhihong Shao, Yeyun Gong, Yelong Shen, Yujiu Yang, Minlie Huang, Nan Duan, and Weizhu Chen. 2023 · 2023
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Legalbench: A collaboratively built benchmark for measuring legal reasoning in large language models
Neel Guha, Julian Nyarko, Daniel Ho, Christopher Ré, Adam Chilton, Alex Chohlas-Wood, Austin Peters, Brandon Waldon, Daniel Rockmore, Diego Zambrano, and 1 others. 2023 · 2023
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What can large language models do in chemistry? a comprehensive benchmark on eight tasks
Taicheng Guo, Bozhao Nan, Zhenwen Liang, Zhichun Guo, Nitesh Chawla, Olaf Wiest, Xiangliang Zhang, and 1 others. 2023 · 2023
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Fabric: Automated scoring and feedback generation for essays
Jieun Han, Haneul Yoo, Junho Myung, Minsun Kim, Hyunseung Lim, Yoonsu Kim, Tak Yeon Lee, Hwajung Hong, Juho Kim, So-Yeon Ahn, and 1 others. 2023 · 2023
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MedEval: A multi-level, multi-task, and multi-domain medical benchmark for language model evaluation
Zexue He, Yu Wang, An Yan, Yao Liu, Eric Chang, Amilcare Gentili, Julian McAuley, and Chun-Nan Hsu. 2023 · 2023
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Ethics of artificial intelligence in education: Student privacy and data protection
Lan Huang. 2023 · 2023
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Cgmi: Configurable general multi-agent interaction framework
Shi Jinxin, Zhao Jiabao, Wang Yilei, Wu Xingjiao, Li Jiawen, and He Liang. 2023 · 2023
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Embracing large language models for medical applications: opportunities and challenges
Mert Karabacak and Konstantinos Margetis. 2023 · 2023
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Could an artificial-intelligence agent pass an introductory physics course?
Gerd Kortemeyer. 2023 · 2023
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Paperqa: Retrieval-augmented generative agent for scientific research
Jakub Lála, Odhran O’Donoghue, Aleksandar Shtedritski, Sam Cox, Samuel G Rodriques, and Andrew D White. 2023 · 2023
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Designing a realistic peer-like embodied conversational agent for supporting children’s storytelling
Zhixin Li and Ying Xu. 2023 · 2023
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Xinnian Liang, Bing Wang, Hui Huang, Shuangzhi Wu, Peihao Wu, Lu Lu, Zejun Ma, and Zhoujun Li. 2023 · 2023
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A workflow approach to visualization-based storytelling with cultural heritage data
Johannes Liem, Jakob Kusnick, Samuel Beck, Florian Windhager, and Eva Mayr. 2023 · 2023
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Jakub Macina, Nico Daheim, Sankalan Pal Chowdhury, Tanmay Sinha, Manu Kapur, Iryna Gurevych, and Mrinmaya Sachan. 2023 · 2023
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A large language model-assisted education tool to provide feedback on open-ended responses
Jordan K Matelsky, Felipe Parodi, Tony Liu, Richard D Lange, and Konrad P Kording. 2023 · 2023
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Large language models challenge the future of higher education
Silvia Milano, Joshua A McGrane, and Sabina Leonelli. 2023 · 2023
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Leveraging molecular structure and bioactivity with chemical language models for de novo drug design
Michael Moret, Irene Pachon Angona, Leandro Cotos, Shen Yan, Kenneth Atz, Cyrill Brunner, Martin Baumgartner, Francesca Grisoni, and Gisbert Schneider. 2023 · 2023
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Oatutor: An open-source adaptive tutoring system and curated content library for learning sciences research
Zachary A. Pardos, Matthew Tang, Ioannis Anastasopoulos, Shreya K. Sheel, and Ethan Zhang. 2023 · 2023
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Toolllm: Facilitating large language models to master 16000+ real-world apis
Yujia Qin, Shihao Liang, Yining Ye, Kunlun Zhu, Lan Yan, Yaxi Lu, Yankai Lin, Xin Cong, Xiangru Tang, Bill Qian, and 1 others. 2023 · 2023
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Revisiting non-English text simplification: A unified multilingual benchmark
Michael J Ryan, Tarek Naous, and Wei Xu. 2023 · 2023
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Spokenwoz: A large-scale speech-text benchmark for spoken task-oriented dialogue agents
Shuzheng Si, Wentao Ma, Haoyu Gao, Yuchuan Wu, Ting-En Lin, Yinpei Dai, Hangyu Li, Rui Yan, Fei Huang, and Yongbin Li. 2023 · 2023
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Navigating the challenges and opportunities of literary translation in the age of ai: Striking a balance between human expertise and machine power
Milena Škobo and Vedran Petričević. 2023 · 2023
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Math agents: Computational infrastructure, mathematical embedding, and genomics
Melanie Swan, Takashi Kido, Eric Roland, and Renato P dos Santos. 2023 · 2023
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Kehui Tan, Tianqi Pang, Chenyou Fan, and Song Yu. 2023 · 2023
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Xiangru Tang, Yuliang Liu, Zefan Cai, Yanjun Shao, Junjie Lu, Yichi Zhang, Zexuan Deng, Helan Hu, Kaikai An, Ruijun Huang, and 1 others. 2023 · 2023
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Exploring the use of large language models (llms) in chemical engineering education: Building core course problem models with chat-gpt
Meng-Lin Tsai, Chong Wei Ong, and Cheng-Liang Chen. 2023 · 2023
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Planbench: An extensible benchmark for evaluating large language models on planning and reasoning about change
Karthik Valmeekam, Matthew Marquez, Alberto Olmo, Sarath Sreedharan, and Subbarao Kambhampati. 2023 · 2023
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Newton: Are large language models capable of physical reasoning?
Yi Ru Wang, Jiafei Duan, Dieter Fox, and Siddhartha Srinivasa. 2023 · 2023
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Llm-powered autonomous agents
Lilian Weng. 2023 · 2023
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Tree of thoughts: Deliberate problem solving with large language models
Shunyu Yao, Dian Yu, Jeffrey Zhao, Izhak Shafran, Tom Griffiths, Yuan Cao, and Karthik Narasimhan. 2023 · 2023
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Siren’s song in the ai ocean: A survey on hallucination in large language models
Yue Zhang, Yafu Li, Leyang Cui, Deng Cai, Lemao Liu, Tingchen Fu, Xinting Huang, Enbo Zhao, Yu Zhang, Yulong Chen, and 1 others. 2023 · 2023
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Memorybank: Enhancing large language models with long-term memory
Wanjun Zhong, Lianghong Guo, Qiqi Gao, and Yanlin Wang. 2023 · 2023
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Webarena: A realistic web environment for building autonomous agents
Shuyan Zhou, Frank F Xu, Hao Zhu, Xuhui Zhou, Robert Lo, Abishek Sridhar, Xianyi Cheng, Tianyue Ou, Yonatan Bisk, Daniel Fried, and 1 others. 2023 · 2023
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Toolqa: A dataset for llm question answering with external tools
Yuchen Zhuang, Yue Yu, Kuan Wang, Haotian Sun, and Chao Zhang. 2023 · 2023
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Knowledge graphs as context sources for llm-based explanations of learning recommendations
Hasan Abu-Rasheed, Christian Weber, and Madjid Fathi. 2024b · 2024
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Microsoft copilot and anthropic claude ai in education and library service
Adebowale Jeremy Adetayo, Mariam Oyinda Aborisade, and Basheer Abiodun Sanni. 2024 · 2024
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Fairness and bias in multimodal ai: A survey
Tosin Adewumi, Lama Alkhaled, Namrata Gurung, Goya van Boven, and Irene Pagliai. 2024 · 2024
Cited alongside, same era.
Dynamic fairness-aware recommendation through multi-agent social choice
Amanda Aird, Paresha Farastu, Joshua Sun, Elena Stefancová, Cassidy All, Amy Voida, Nicholas Mattei, and Robin Burke. 2024 · 2024
Cited alongside, same era.
Swe-search: Enhancing software agents with monte carlo tree search and iterative refinement
Antonis Antoniades, Albert Örwall, Kexun Zhang, Yuxi Xie, Anirudh Goyal, and William Wang. 2024 · 2024
Cited alongside, same era.
Sd-eval: A benchmark dataset for spoken dialogue understanding beyond words
Junyi Ao, Yuancheng Wang, Xiaohai Tian, Dekun Chen, Jun Zhang, Lu Lu, Yuxuan Wang, Haizhou Li, and Zhizheng Wu. 2024 · 2024
Cited alongside, same era.
Openscholar: Synthesizing scientific literature with retrieval-augmented lms
Empowering student self-regulated learning and science education through chatgpt: A pioneering pilot study
Davy Tsz Kit Ng, Chee Wei Tan, and Jac Ka Lok Leung. 2024 · 2024
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Ellma-t: an embodied llm-agent for supporting english language learning in social vr
Mengxu Pan, Alexandra Kitson, Hongyu Wan, and Mirjana Prpa. 2024 · 2024
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Xinyu Pang, Ruixin Hong, Zhanke Zhou, Fangrui Lv, Xinwei Yang, Zhilong Liang, Bo Han, and Changshui Zhang. 2024 · 2024
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Empowering personalized learning through a conversation-based tutoring system with student modeling
Minju Park, Sojung Kim, Seunghyun Lee, Soonwoo Kwon, and Kyuseok Kim. 2024 · 2024
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Pedagogical alignment of large language models (llm) for personalized learning: a survey, trends and challenges
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Akari Asai, Jacqueline He, Rulin Shao, Weijia Shi, Amanpreet Singh, Joseph Chee Chang, Kyle Lo, Luca Soldaini, Sergey Feldman, Mike D’arcy, and 1 others. 2024 · 2024
Cited alongside, same era.
Jinheon Baek, Sujay Kumar Jauhar, Silviu Cucerzan, and Sung Ju Hwang. 2024 · 2024
Cited alongside, same era.
Use of automated conversational agents in improving young population mental health: a scoping review
Raluca Balan, Anca Dobrean, and Costina R Poetar. 2024 · 2024
Cited alongside, same era.
Iris: An ai-driven virtual tutor for computer science education
Patrick Bassner, Eduard Frankford, and Stephan Krusche. 2024 · 2024
Cited alongside, same era.
Large language model to multimodal large language model: A journey to shape the biological macromolecules to biological sciences and medicine
Manojit Bhattacharya, Soumen Pal, Srijan Chatterjee, Sang-Soo Lee, and Chiranjib Chakraborty. 2024 · 2024
Cited alongside, same era.
Evaluation of an llm-powered student agent for teacher training
Saptarshi Bhowmik, Luke West, Alex Barrett, Nuodi Zhang, Chih-Pu Dai, Zlatko Sokolikj, Sherry Southerland, Xin Yuan, and Fengfeng Ke. 2024 · 2024
Cited alongside, same era.
Super: Evaluating agents on setting up and executing tasks from research repositories
Ben Bogin, Kejuan Yang, Shashank Gupta, Kyle Richardson, Erin Bransom, Peter Clark, Ashish Sabharwal, and Tushar Khot. 2024 · 2024
Cited alongside, same era.
Repairagent: An autonomous, llm-based agent for program repair
Islem Bouzenia, Premkumar Devanbu, and Michael Pradel. 2024 · 2024
Cited alongside, same era.
Mahefa Abel Razafinirina, William Germain Dimbisoa, and Thomas Mahatody. 2024 · 2024
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Self-reflection in llm agents: Effects on problem-solving performance
Matthew Renze and Erhan Guven. 2024 · 2024
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Accelerated end-to-end chemical synthesis development with large language models
Yixiang Ruan, Chenyin Lu, Ning Xu, Jian Zhang, Jun Xuan, Jianzhang Pan, Qun Fang, Hanyu Gao, Xiaodong Shen, Ning Ye, and 1 others. 2024 · 2024
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Toursynbio: A multi-modal large model and agent framework to bridge text and protein sequences for protein engineering
Yiqing Shen, Zan Chen, Michail Mamalakis, Yungeng Liu, Tianbin Li, Yanzhou Su, Junjun He, Pietro Liò, and Yu Guang Wang. 2024 · 2024
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Llm-sr: Scientific equation discovery via programming with large language models
Parshin Shojaee, Kazem Meidani, Shashank Gupta, Amir Barati Farimani, and Chandan K Reddy. 2024 · 2024
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Language agents achieve superhuman synthesis of scientific knowledge
Michael D Skarlinski, Sam Cox, Jon M Laurent, James D Braza, Michaela Hinks, Michael J Hammerling, Manvitha Ponnapati, Samuel G Rodriques, and Andrew D White. 2024 · 2024
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Samuel S Sohn, Danrui Li, Sen Zhang, Che-Jui Chang, and Mubbasir Kapadia. 2024 · 2024
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A multi-agent-driven robotic ai chemist enabling autonomous chemical research on demand
Tao Song, Man Luo, Linjiang Chen, Yan Huang, Qing Zhu, Daobin Liu, Baicheng Zhang, Gang Zou, Fei Zhang, Weiwei Shang, and 1 others. 2024 · 2024
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The effects of embodiment and personality expression on learning in llm-based educational agents
Sinan Sonlu, Bennie Bendiksen, Funda Durupinar, and Uğur Güdükbay. 2024 · 2024
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Henry W Sprueill, Carl Edwards, Khushbu Agarwal, Mariefel V Olarte, Udishnu Sanyal, Conrad Johnston, Hongbin Liu, Heng Ji, and Sutanay Choudhury. 2024 · 2024
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Machine learning mixed methods text analysis: An illustration from automated scoring models of student writing in biology education
Kamali N Sripathi, Rosa A Moscarella, Matthew Steele, Rachel Yoho, Hyesun You, Luanna B Prevost, Mark Urban-Lurain, John Merrill, and Kevin C Haudek. 2024 · 2024
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Engaging and entertaining adolescents in health education using llm-generated fantasy narrative games and virtual agents
Ian Steenstra, Prasanth Murali, Rebecca B Perkins, Natalie Joseph, Michael K Paasche-Orlow, and Timothy Bickmore. 2024 · 2024
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Lawluo: A chinese law firm co-run by llm agents
Jingyun Sun, Chengxiao Dai, Zhongze Luo, Yangbo Chang, and Yang Li. 2024 · 2024
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Challenges and barriers of using large language models (llm) such as chatgpt for diagnostic medicine with a focus on digital pathology–a recent scoping review
Ehsan Ullah, Anil Parwani, Mirza Mansoor Baig, and Rajendra Singh. 2024 · 2024
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Guangya Wan, Yuqi Wu, Jie Chen, and Sheng Li. 2024 · 2024
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Benchmarking and improving long-text translation with large language models
Longyue Wang, Zefeng Du, Wenxiang Jiao, Chenyang Lyu, Jianhui Pang, Leyang Cui, Kaiqiang Song, Derek Wong, Shuming Shi, and Zhaopeng Tu. 2024b · 2024
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CMB: A comprehensive medical benchmark in Chinese
Xidong Wang, Guiming Chen, Song Dingjie, Zhang Zhiyi, Zhihong Chen, Qingying Xiao, Junying Chen, Feng Jiang, Jianquan Li, Xiang Wan, Benyou Wang, and Haizhou Li. 2024d · 2024
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Medco: Medical education copilots based on a multi-agent framework
Hao Wei, Jianing Qiu, Haibao Yu, and Wu Yuan. 2024 · 2024
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Agentless: Demystifying llm-based software engineering agents
Chunqiu Steven Xia, Yinlin Deng, Soren Dunn, and Lingming Zhang. 2024 · 2024
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Building math agents with multi-turn iterative preference learning
Wei Xiong, Chengshuai Shi, Jiaming Shen, Aviv Rosenberg, Zhen Qin, Daniele Calandriello, Misha Khalman, Rishabh Joshi, Bilal Piot, Mohammad Saleh, and 1 others. 2024 · 2024
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Georeasoner: Reasoning on geospatially grounded context for natural language understanding
Yibo Yan and Joey Lee. 2024 · 2024
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Tooling or not tooling? the impact of tools on language agents for chemistry problem solving
Botao Yu, Frazier N Baker, Ziru Chen, Garrett Herb, Boyu Gou, Daniel Adu-Ampratwum, Xia Ning, and Huan Sun. 2024 · 2024
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Weikang Yuan, Junjie Cao, Zhuoren Jiang, Yangyang Kang, Jun Lin, Kaisong Song, Pengwei Yan, Changlong Sun, Xiaozhong Liu, and 1 others. 2024 · 2024
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Mathvc: An llm-simulated multi-character virtual classroom for mathematics education
Murong Yue, Wenhan Lyu, Wijdane Mifdal, Jennifer Suh, Yixuan Zhang, and Ziyu Yao. 2024 · 2024
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Siyu Zha, Yuehan Qiao, Qingyu Hu, Zhongsheng Li, Jiangtao Gong, and Yingqing Xu. 2024 · 2024
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Fine-tuning large language models for domain-specific machine translation
Jiawei Zheng, Hanghai Hong, Feiyan Liu, Xiaoli Wang, Jingsong Su, Yonggui Liang, and Shikai Wu. 2024 · 2024
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Recommender systems meet large language model agents: A survey
Xi Zhu, Yu Wang, Hang Gao, Wujiang Xu, Chen Wang, Zhiwei Liu, Kun Wang, Mingyu Jin, Linsey Pang, Qingsong Wen, and 1 others. 2024 · 2024
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Kristian G Barman, Sascha Caron, Emily Sullivan, Henk W de Regt, Roberto Ruiz de Austri, Mieke Boon, Michael Färber, Stefan Fröse, Faegheh Hasibi, Andreas Ipp, and 1 others. 2025 · 2025
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Taking the next step with generative artificial intelligence: The transformative role of multimodal large language models in science education
Arne Bewersdorff, Christian Hartmann, Marie Hornberger, Kathrin Seßler, Maria Bannert, Enkelejda Kasneci, Gjergji Kasneci, Xiaoming Zhai, and Claudia Nerdel. 2025 · 2025
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Coordinate: A virtual classroom management tool for large computer science courses using discord
Cameron Brown and Laura Cruz Castro. 2025 · 2025
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Uniedu: A unified language and vision assistant for education applications
Zhendong Chu, Jian Xie, Shen Wang, Zichao Wang, and Qingsong Wen. 2025 · 2025
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Toolcoder: A systematic code-empowered tool learning framework for large language models
Hanxing Ding, Shuchang Tao, Liang Pang, Zihao Wei, Jinyang Gao, Bolin Ding, Huawei Shen, and Xueqi Chen. 2025 · 2025
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Collaborative document simplification using multi-agent systems
Dengzhao Fang, Jipeng Qiang, Xiaoye Ouyang, Yi Zhu, Yunhao Yuan, and Yun Li. 2025 · 2025
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Jiahao Huo, Yibo Yan, Xu Zheng, Yuanhuiyi Lyu, Xin Zou, Zhihua Wei, and Xuming Hu. 2025 · 2025
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Protecting privacy in ai-enhanced education: A comprehensive examination of data privacy concerns and solutions in ai-based learning
Islam Asim Ismail. 2025 · 2025
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Curie: Toward rigorous and automated scientific experimentation with ai agents
Patrick Tser Jern Kon, Jiachen Liu, Qiuyi Ding, Yiming Qiu, Zhenning Yang, Yibo Huang, Jayanth Srinivasa, Myungjin Lee, Mosharaf Chowdhury, and Ang Chen. 2025 · 2025
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Theoremexplainagent: Towards multimodal explanations for llm theorem understanding
Max Ku, Thomas Chong, Jonathan Leung, Krish Shah, Alvin Yu, and Wenhu Chen. 2025 · 2025
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On opportunities and challenges of large multimodal foundation models in education
Stefan Küchemann, Karina E Avila, Yavuz Dinc, Chiara Hortmann, Natalia Revenga, Verena Ruf, Niklas Stausberg, Steffen Steinert, Frank Fischer, Martin Fischer, and 1 others. 2025 · 2025
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Macm: Utilizing a multi-agent system for condition mining in solving complex mathematical problems
Bin Lei, Yi Zhang, Shan Zuo, Ali Payani, and Caiwen Ding. 2025 · 2025
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Rethinking machine unlearning for large language models
Sijia Liu, Yuanshun Yao, Jinghan Jia, Stephen Casper, Nathalie Baracaldo, Peter Hase, Yuguang Yao, Chris Yuhao Liu, Xiaojun Xu, Hang Li, and 1 others. 2025 · 2025
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Genal: Generative agent for adaptive learning
Rui Lv, Qi Liu, Weibo Gao, Haotian Zhang, Junyu Lu, and Linbo Zhu. 2025 · 2025
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Mathtutorbench: A benchmark for measuring open-ended pedagogical capabilities of llm tutors
Jakub Macina, Nico Daheim, Ido Hakimi, Manu Kapur, Iryna Gurevych, and Mrinmaya Sachan. 2025 · 2025
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Paul Mithun, Enrique Noriega-Atala, Nirav Merchant, and Edwin Skidmore. 2025 · 2025
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Al-khwarizmi: Discovering physical laws with foundation models
Christopher E Mower and Haitham Bou-Ammar. 2025 · 2025
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Mlgym: A new framework and benchmark for advancing ai research agents
Deepak Nathani, Lovish Madaan, Nicholas Roberts, Nikolay Bashlykov, Ajay Menon, Vincent Moens, Amar Budhiraja, Despoina Magka, Vladislav Vorotilov, Gaurav Chaurasia, and 1 others. 2025 · 2025
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Large language models in computer science education: A systematic literature review
Nishat Raihan, Mohammed Latif Siddiq, Joanna CS Santos, and Marcos Zampieri. 2025 · 2025
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A review of large language models and autonomous agents in chemistry
Mayk Caldas Ramos, Christopher J Collison, and Andrew D White. 2025 · 2025
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Exploring knowledge tracing in tutor-student dialogues using llms
Alexander Scarlatos, Ryan S Baker, and Andrew Lan. 2025 · 2025
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Agent laboratory: Using llm agents as research assistants
Samuel Schmidgall, Yusheng Su, Ze Wang, Ximeng Sun, Jialian Wu, Xiaodong Yu, Jiang Liu, Zicheng Liu, and Emad Barsoum. 2025 · 2025
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A comprehensive review of large language models: issues and solutions in learning environments
Tariq Shahzad, Tehseen Mazhar, Muhammad Usman Tariq, Wasim Ahmad, Khmaies Ouahada, and Habib Hamam. 2025 · 2025
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An active inference strategy for prompting reliable responses from large language models in medical practice
Roma Shusterman, Allison C Waters, Shannon O’Neill, Marshall Bangs, Phan Luu, and Don M Tucker. 2025 · 2025
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