🧑‍🔬 Who cites Andrew Lan

68 citations of their works from 58 papers of our library (of the 149,439 whose bibliographies we read) · 17 with a page here, the most cited first · ← Andrew Lan

1. Knowledge Tracing: A SurveyACM Computing SurveysGhodai Abdelrahman, Qing Wang, Bernardo Nunes2023 · 480 citations
2. Training LLM-Based Tutors to Improve Student Learning Outcomes in DialoguesLecture notes in computer scienceAlexander Scarlatos, Naiming Liu, Jaewook Lee, et al.2025 · 38 citations
3. From Problem-Solving to Teaching Problem-Solving: Aligning LLMs with Pedagogy using Reinforcement LearningConference on Empirical Methods in Natural Language Processing (EMNLP)David Dinucu-Jianu, Jakub Macina, Nico Daheim, et al.2025 · 19 citations
4. Improving Socratic Question Generation using Data Augmentation and Preference OptimizationWorkshop on Innovative Use of NLP for Building Educational Applications (BEA)Nischal Ashok Kumar, Andrew Lan2024 · 16 citations
5. Position: LLMs Can be Good Tutors in English EducationConference on Empirical Methods in Natural Language Processing (EMNLP)Jingheng Ye, Shen Wang, Deqing Zou, et al.2025 · 9 citations
6. Behavior-Aware Item Modeling via Dynamic Procedural Solution Representations for Knowledge TracingFindings of the Association for Computational LinguisticsJun Seo, Sangwon Ryu, Heejin Do, et al.2026 · 2 citations
7. FEAT: A Preference Feedback Dataset through a Cost-Effective Auto-Generation and Labeling Framework for English AI TutoringAnnual Meeting of the Association for Computational Linguistics (ACL)Hyein Seo, Taewook Hwang, Yohan Lee, et al.2025 · 2 citations
8. Evaluating Answer Leakage Robustness of LLM Tutors against Adversarial Student AttacksAnnual Meeting of the Association for Computational Linguistics (ACL)Jin Zhao, Marta Knežević, Tanja Käser2026 · 1 citation
9. LLM-KT: Enhancing Large Language Models with Knowledge Tracing via Multi-Level Plug-and-Play AlignmentFindings of the Association for Computational LinguisticsZiwei Wang, Jie Zhou, Qin Chen, et al.2026 · 1 citation
10. PATS: Personality-Aware Teaching Strategies with Large Language Model TutorsFindings of the Association for Computational LinguisticsDonya Rooein, Sankalan Pal Chowdhury, Mariia Eremeeva, et al.2026 · 1 citation
11. Beyond Accuracy: Alignment and Error Detection across Languages in the Bi-GSM8K Math-Teaching BenchmarkFindings of the Association for Computational LinguisticsJieun Park, KyungTae Lim, Joon-ho Lim2026
12. CogBench: Benchmarking Cognitive Alignment of Large Language Models in Educational Question AnsweringFindings of the Association for Computational LinguisticsTong Lu, Zhichun Wang, Yuanhao Sun, et al.2026
13. MMTutorBench: The First Multimodal Benchmark for AI Math TutoringAnnual Meeting of the Association for Computational Linguistics (ACL)Tengchao Yang, Sichen Guo, Mengzhao Jia, et al.2026
14. Opportunities and Challenges of LLMs in Education: An NLP PerspectiveWorkshop on Innovative Use of NLP for Building Educational Applications (BEA)Sowmya Vajjala, Bashar Alhafni, Stefano Banno, et al.2026
15. Tackling the Root of Misinformation by Teaching Laypeople about Logical Fallacies via Socratic Questioning and Critical ArgumentationAnnual Meeting of the Association for Computational Linguistics (ACL)Minjing Shi, Junling Wang, Jingwei Ni, et al.2026
16. Tracing Mathematical Proficiency Through Problem-Solving ProcessesFindings of the Association for Computational LinguisticsJungyang Park, Suho Kang, Jaewoo Park, et al.2026
17. Review and Performance Comparison of Deep Knowledge Tracing Models (深度知识追踪模型综述和性能比较)Journal of SoftwareYu Wang (王宇), Mengxia Zhu (朱梦霞), Shanghui Yang (杨尚辉), et al.2022

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