🧑‍🔬 Sankalan Pal Chowdhury

🏛️ Affiliations

🎓ETH ZurichZurich · Switzerland2021–2026 · 19 paperscurrent🎓Indian Institute of Technology DelhiNew Delhi · India2019 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine.

🧭 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📅 Works by year

2020s

📄 Papers

The most cited first (OpenAlex and our library).

1. 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.
2. PATS: Personality-Aware Teaching Strategies with Large Language Model Tutors (2026 · 1 citation)
   LLM tutors usually treat all learners alike, even though pedagogical research suggests that the best teaching strategy depends on a student's personality.
3. Tackling the Root of Misinformation by Teaching Laypeople about Logical Fallacies via Socratic Questioning and Critical Argumentation (2026)
   Automatic fallacy detectors can flag flawed arguments, but they do not teach people to spot such reasoning on their own.

All works

5 works of theirs in our library, the most cited first; 3 with a page here, the others link their original until we summarise them.

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. AutoTutor meets Large Language Models: A Language Model Tutor with Rich Pedagogy and Guardrails ↗Proceedings of the Eleventh ACM Conference on Learning @ Scale · no summary yetSankalan Pal Chowdhury, Vilém Zouhar, Mrinmaya Sachan2024 · 66 citations
3. 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
4. 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
5. Last Translation Benchmark ↗arXiv:2609.04173 · no summary yetVilem Zouhar et al.2026

🤝 Co-authors here

6 co-authors with a page, the most papers together first.

• Mrinmaya Sachan ×3
• Debora Nozza
• Dirk Hovy
• Donya Rooein
• Iryna Gurevych
• Jingwei Ni

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

• Annual Meeting of the Association for Computational Linguistics (ACL) ×2: ACL 2026
• Findings of the Association for Computational Linguistics ×2: Findings of the Association for Computational Linguistics 2026, Findings of the Association for Computational Linguistics 2023
• Proceedings of the Eleventh ACM Conference on Learning @ Scale

🔗 Cited by

Papers of our library cite their works 118 times (of the 149,439 papers whose bibliographies we read); 15 citing papers with a page here →.

Updated 1 November 2026

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