Nico Daheim
Nico Daheim has 5 papers in our library, in 2023–2025, most of them on Language models & pretraining, Reasoning, Dialogue systems; often with Iryna Gurevych, Jakub Macina, Mrinmaya Sachan.
OpenAlex · h-index 7 · 65 works · 188 citations OpenAlex, 2026-10-14
📄 5 works in our library · 🔗 Cited 198 times in our library · 2 more in our library without a page yet · ⭐ Paper Stars ranking: #5999
Affiliations
Fields, topics and concepts
📚 Shelves 10The field of science this work belongs to (OpenAlex fields).Computer Science · 5 worksArts and Humanities · 3 worksArtificial Intelligence · 5 worksInformation Systems · 5 worksLanguage and Linguistics · 3 worksSocial Sciences · 1 workEducation · 1 workMedicine · 1 workDemography · 1 workHealth Informatics · 1 work
🧭 Topics 4Research subjects and languages the work is about.Dialogue systems · 2 worksReasoning · 3 worksLanguage models & pretraining · 3 worksEvaluation & benchmarks · 1 work
Works by year
2020s
Papers
- MathDial: A Dialogue Tutoring Dataset with Rich Pedagogical Properties Grounded in Math Reasoning Problems (2023 · 131 citations)
Research on automatic dialogue tutors has been limited by a shortage of large, pedagogically sound datasets. - Opportunities and Challenges in Neural Dialog Tutoring (2023 · 51 citations)
Neural conversational systems built on large language models have advanced quickly, but dialog tutoring has seen little benefit from this progress. - Stepwise Verification and Remediation of Student Reasoning Errors with Large Language Model Tutors (2024 · 35 citations)
LLM-based math tutors can solve word problems well, but they often fail to notice where a student went wrong. - MathTutorBench: A Benchmark for Measuring Open-ended Pedagogical Capabilities of LLM Tutors (2025 · 33 citations)
Judging how well an LLM teaches , rather than how well it solves problems, has relied on two weak options. - From Problem-Solving to Teaching Problem-Solving: Aligning LLMs with Pedagogy using Reinforcement Learning (2025 · 19 citations)
LLMs tuned for answering questions make weak tutors because they tend to reveal solutions instead of guiding learners.
All works
- 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
- Opportunities and Challenges in Neural Dialog TutoringConference of the European Chapter of the Association for Computational Linguistics (EACL)Jakub Macina, Nico Daheim, Lingzhi Wang, et al.2023 · 51 citations
- 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
- 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
- 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
- Poor Man's Quality Estimation: Predicting Reference-Based MT Metrics Without the Reference ↗Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics · no summary yetVilém Zouhar et al.2023 · 15 citations
- Socratic Reasoning Improves Positive Text Rewriting ↗Proceedings of the 10th Workshop on Computational Linguistics and Clinical Psychology (CLPsych 2025) · no summary yetAnmol Goel et al.2025 · 7 citations
Co-authors here
- Iryna Gurevych ×5
- Jakub Macina ×5
- Mrinmaya Sachan ×5
- Manu Kapur ×4
- Ido Hakimi ×2
- Tanmay Sinha ×2
- Lingzhi Wang
- Sankalan Pal Chowdhury
Venues
- Conference on Empirical Methods in Natural Language Processing (EMNLP) ×3: EMNLP 2025 ×2, EMNLP 2024
- Conference of the European Chapter of the Association for Computational Linguistics (EACL) ×2: EACL 2023
- Findings of the Association for Computational Linguistics: Findings of the Association for Computational Linguistics 2023
- Proceedings of the 10th Workshop on Computational Linguistics and Clinical Psychology (CLPsych 2025)
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