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Manu Kapur

Manu Kapur has 5 papers in our library, in 2022–2025, most of them on Reasoning, Language models & pretraining, Dialogue systems; often with Jakub Macina, Mrinmaya Sachan, Iryna Gurevych.

5 papers in our library · 2022–2025

OpenAlex · ORCID · Wikidata · h-index 35 · 176 works · 6,634 citations OpenAlex, 2026-10-14

📄 5 works in our library · 🔗 Cited 202 times in our library · ⭐ Paper Stars ranking: #5551

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

🎓ETH ZurichZurich · Switzerland2017–2026 · 70 papersEmployment since 2017current🎓National Institute of EducationJurong West2006–2015 · 45 papers🎓Nanyang Technological UniversitySingapore · Singapore2007–2023 · 31 papers🎓Education University of Hong KongTai Po · China2016 · 3 papersEmployment · Professor, Department of Psychological Studies🎓Columbia UniversityNew York · United States2005–2006 · 3 papers🔬Singapore-ETH CentreSingapore · Singapore2023–2025 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution on single bylines are not listed.

 Fields, topics and concepts

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

📚 Shelves 8The field of science this work belongs to (OpenAlex fields).Computer Science · 5 worksArts and Humanities · 4 worksArtificial Intelligence · 5 worksLanguage and Linguistics · 4 worksInformation Systems · 4 worksSocial Sciences · 1 workEducation · 1 workDemography · 1 work

🧭 Topics 4Research subjects and languages the work is about.Reasoning · 3 worksDialogue systems · 2 worksLanguage models & pretraining · 2 worksEvaluation & benchmarks · 1 work

 Works by year

2020s

20251 paper20241 paper20232 papers20221 paper

 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. Automatic Generation of Socratic Subquestions for Teaching Math Word Problems (2022 · 70 citations)
    The paper investigates whether large language models can automatically produce Socratic-style guidance for math word problems (MWPs).
  3. 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.
  4. 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.
  5. 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.

 Co-authors here

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

Venues

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

 Cited by

Papers of our library cite their works 202 times (of the 149,439 papers whose bibliographies we read); 37 citing papers with a page here →.

Updated

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