🧑‍🔬 Who cites Nico Daheim

198 citations of their works from 135 papers of our library (of the 149,439 whose bibliographies we read) · 35 with a page here, the most cited first · ← Nico Daheim

1. MathDial: A Dialogue Tutoring Dataset with Rich Pedagogical Properties Grounded in Math Reasoning ProblemsFindings of the Association for Computational LinguisticsJakub Macina, Nico Daheim, Sankalan Chowdhury, et al.2023 · 131 citations
2. CLASS: A Design Framework for Building Intelligent Tutoring Systems Based on Learning Science principlesFindings of the Association for Computational Linguistics: EMNLP 2023Shashank Sonkar, Naiming Liu, Debshila Mallick, et al.2023 · 71 citations
3. AutoTutor meets Large Language Models: A Language Model Tutor with Rich Pedagogy and GuardrailsACM Conference on Learning @ Scale (L@S)Sankalan Pal Chowdhury, Vilém Zouhar, Mrinmaya Sachan2024 · 66 citations
4. Unifying AI Tutor Evaluation: An Evaluation Taxonomy for Pedagogical Ability Assessment of LLM-Powered AI TutorsConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Kaushal Kumar Maurya, Kv Aditya Srivatsa, Kseniia Petukhova, et al.2025 · 53 citations
5. Towards responsible development of generative AI for education: An evaluation-driven approachJurenka2024 · 53 citations
6. Plug-and-Play Policy Planner for Large Language Model Powered Dialogue AgentsarXiv:2311.00262Yang Deng, Wenxuan Zhang, Wai Lam, et al.2023 · 48 citations
7. 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
8. Exploring the Numerical Reasoning Capabilities of Language Models: A Comprehensive Analysis on Tabular DataFindings of the Association for Computational LinguisticsMubashara Akhtar, Abhilash Shankarampeta, Vivek Gupta, et al.2023 · 38 citations
9. Stepwise Verification and Remediation of Student Reasoning Errors with Large Language Model TutorsConference on Empirical Methods in Natural Language Processing (EMNLP)Nico Daheim, Jakub Macina, Manu Kapur, et al.2024 · 35 citations
10. MathTutorBench: A Benchmark for Measuring Open-ended Pedagogical Capabilities of LLM TutorsConference on Empirical Methods in Natural Language Processing (EMNLP)Jakub Macina, Nico Daheim, Ido Hakimi, et al.2025 · 33 citations
11. Fine-Tuned Machine Translation Metrics Struggle in Unseen DomainsAnnual Meeting of the Association for Computational Linguistics (ACL)Vilém Zouhar, Shuoyang Ding, Anna Currey, et al.2024 · 32 citations
12. Language Models as Science TutorsarXiv:2402.11111Alexis Chevalier, Jiayi Geng, Alexander Wettig, et al.2024 · 30 citations
13. Can Language Models Solve Olympiad Programming?arXiv:2404.10952Quan Shi, Michael Tang, Karthik Narasimhan, et al.2024 · 28 citations
14. 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
15. MathChat: Benchmarking Mathematical Reasoning and Instruction Following in Multi-Turn InteractionsarXiv:2405.19444Zhenwen Liang, Dian Yu, Wenhao Yu, et al.2024 · 16 citations
16. Embracing Imperfection: Simulating Students with Diverse Cognitive Levels Using LLM-based AgentsAnnual Meeting of the Association for Computational Linguistics (ACL)Tao Wu, Jingyuan Chen, Wang Lin, et al.2025 · 13 citations
17. Crisp: Cognitive Restructuring of Negative Thoughts through Multi-turn Supportive DialoguesConference on Empirical Methods in Natural Language Processing (EMNLP)Jinfeng Zhou, Yuxuan Chen, Jianing Yin, et al.2025 · 10 citations
18. 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
19. BIPED: Pedagogically Informed Tutoring System for ESL EducationAnnual Meeting of the Association for Computational Linguistics (ACL)Soonwoo Kwon, Sojung Kim, Minju Park, et al.2024 · 9 citations
20. AITutor-EvalKit: Exploring the Capabilities of AI TutorsConference of the European Chapter of the Association for Computational Linguistics (EACL)Numaan Naeem, Kaushal Kumar Maurya, Kseniia Petukhova, et al.2026 · 2 citations
21. Decision-Making with Deliberation: Meta-reviewing as a Document-grounded DialogueConference of the European Chapter of the Association for Computational Linguistics (EACL)Sukannya Purkayastha, Nils Dycke, Anne Lauscher, et al.2026 · 2 citations
22. SHAPE: Unifying Safety, Helpfulness and Pedagogy for Educational LLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Sihang Zhao, Kangrui Yu, Youliang Yuan, et al.2026 · 2 citations
23. 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
24. 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
25. Tailored Emotional LLM-Supporter: Enhancing Cultural SensitivityConference of the European Chapter of the Association for Computational Linguistics (EACL)Chen Cecilia Liu, Hiba Arnaout, Nils Kovačić, et al.2026 · 1 citation
26. Towards Reward Modeling for AI Tutors in Math Mistake RemediationLanguage Resources and Evaluation Conference (LREC)Kseniia Petukhova, Ekaterina Kochmar2026 · 1 citation
27. Building Common Ground in Dialogue: A SurveyLUHME WorkshopTatiana Anikina, Alina Leippert, Simon Ostermann2025 · 1 citation
28. 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
29. Confirming Correct, Missing the Rest: LLM Tutoring Agents Struggle Where Feedback Matters MostWorkshop on Innovative Use of NLP for Building Educational Applications (BEA)Tahreem Yasir, Wenbo Li, Sam Gilson, et al.2026
30. Consistency of LLMs to Comparative Statements in Mathematical Reasoning TasksLanguage Resources and Evaluation Conference (LREC)Aidan W. San, Daniel Juyoung Son, Xiaodong Liu, et al.2026
31. 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
32. 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
33. 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
34. The Aftermath of DrawEduMath: Vision Language Models Underperform with Struggling Students and Misdiagnose ErrorsWorkshop on Innovative Use of NLP for Building Educational Applications (BEA)Li Lucy, Albert Zhang, Nathan Anderson, et al.2026
35. Towards Pedagogically Aligned LLM Tutors for Math Mistake RemediationWorkshop on Innovative Use of NLP for Building Educational Applications (BEA)Kseniia Petukhova, Tien Dat Nguyen, Ekaterina Kochmar2026

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