--- title: "Jakub Macina · ETH Zurich — author profile and papers" description: "Jakub Macina, ETH Zurich: 6 papers on Elamur Research (2022–2025), h-index 8 — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/jakub-macina/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/jakub-macina/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Jakub Macina # Jakub Macina Jakub Macina has 6 papers in our library, in 2022–2025, most of them on [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/), [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Dialogue systems](https://md.research.elamur.ai/free/en/topics/dialogue-systems/); often with [Mrinmaya Sachan](https://md.research.elamur.ai/free/en/authors/mrinmaya-sachan/), [Iryna Gurevych](https://md.research.elamur.ai/free/en/authors/iryna-gurevych/), [Manu Kapur](https://md.research.elamur.ai/free/en/authors/manu-kapur/). 6 papers in our library · 2022–2025 [OpenAlex](https://openalex.org/A5074087051) · [ORCID](https://orcid.org/0000-0001-5063-0543) · [**h-index 8**](https://openalex.org/authors/A5074087051) · [35 works](https://openalex.org/works?filter=author.id:A5074087051) · [196 citations](https://openalex.org/works?filter=author.id:A5074087051&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 6 works in our library](https://md.research.elamur.ai/free/en/authors/jakub-macina/#papers) · [🔗 Cited 216 times in our library](https://md.research.elamur.ai/free/en/authors/jakub-macina/cited-by/) · [⭐ Paper Stars ranking: #5399](https://md.research.elamur.ai/free/en/paper-stars/page/54/#star-5399) The profile is the library's match of the name; two people with one name are not always told apart. Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Jakub+Macina) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Jakub+Macina) · [dblp](https://dblp.org/search?q=Jakub+Macina) · [ACL Anthology](https://aclanthology.org/search/?q=Jakub+Macina) ## Affiliations [🎓**ETH Zurich** Zurich · Switzerland 2021–2026 · 21 papersEmployment since 2021 · AI Center*current*](https://md.research.elamur.ai/free/en/universities/eth-zurich/) 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. 📚 Shelves 10 The field of science this work belongs to (OpenAlex fields).[Computer Science · 6 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Arts and Humanities · 4 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Artificial Intelligence · 6 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 4 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Information Systems · 5 works](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) · [Social Sciences · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/) · [Education · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/education/) · [Medicine · 1 work](https://md.research.elamur.ai/free/en/shelves/medicine/) · [Demography · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/demography/) · [Health Informatics · 1 work](https://md.research.elamur.ai/free/en/shelves/medicine/health-informatics/) 🧭 Topics 4 Research subjects and languages the work is about.[Reasoning · 4 works](https://md.research.elamur.ai/free/en/topics/reasoning/) · [Dialogue systems · 2 works](https://md.research.elamur.ai/free/en/topics/dialogue-systems/) · [Language models & pretraining · 3 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Evaluation & benchmarks · 1 work](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) ## Works by year ### 2020s [**2025** 2 papers](https://md.research.elamur.ai/free/en/authors/jakub-macina/year/2025/) · [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/jakub-macina/year/2024/) · [**2023** 2 papers](https://md.research.elamur.ai/free/en/authors/jakub-macina/year/2023/) · [**2022** 1 paper](https://md.research.elamur.ai/free/en/authors/jakub-macina/year/2022/) ## Papers The most cited first (OpenAlex and our library). 1. **[MathDial: A Dialogue Tutoring Dataset with Rich Pedagogical Properties Grounded in Math Reasoning Problems](https://md.research.elamur.ai/free/en/papers/macina-2023-mathdial-dialogue-tutoring-dataset-rich/)** *(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](https://md.research.elamur.ai/free/en/papers/shridhar-2022-automatic-generation-socratic-subquestions-teaching/)** *(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](https://md.research.elamur.ai/free/en/papers/macina-2023-opportunities-challenges-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](https://md.research.elamur.ai/free/en/papers/daheim-2024-stepwise-verification-remediation-student-reasoning/)** *(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](https://md.research.elamur.ai/free/en/papers/macina-2025-mathtutorbench-benchmark-measuring-open-ended/)** *(2025 · 33 citations)* Judging how well an LLM teaches , rather than how well it solves problems, has relied on two weak options. 6. **[From Problem-Solving to Teaching Problem-Solving: Aligning LLMs with Pedagogy using Reinforcement Learning](https://md.research.elamur.ai/free/en/papers/jianu-2025-problem-solving-teaching-problem-solving/)** *(2025 · 19 citations)* LLMs tuned for answering questions make weak tutors because they tend to reveal solutions instead of guiding learners. ## Co-authors here 10 co-authors with a page, the most papers together first. - [Mrinmaya Sachan](https://md.research.elamur.ai/free/en/authors/mrinmaya-sachan/) ×6 - [Iryna Gurevych](https://md.research.elamur.ai/free/en/authors/iryna-gurevych/) ×5 - [Manu Kapur](https://md.research.elamur.ai/free/en/authors/manu-kapur/) ×5 - [Nico Daheim](https://md.research.elamur.ai/free/en/authors/nico-daheim/) ×5 - [Tanmay Sinha](https://md.research.elamur.ai/free/en/authors/tanmay-sinha/) ×3 - [Ido Hakimi](https://md.research.elamur.ai/free/en/authors/ido-hakimi/) ×2 - [Kumar Shridhar](https://md.research.elamur.ai/free/en/authors/kumar-shridhar/) - [Lingzhi Wang](https://md.research.elamur.ai/free/en/authors/lingzhi-wang/) - [Mennatallah El-Assady](https://md.research.elamur.ai/free/en/authors/mennatallah-el-assady/) - [Sankalan Pal Chowdhury](https://md.research.elamur.ai/free/en/authors/sankalan-pal-chowdhury/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/) ×4: [EMNLP 2025](https://md.research.elamur.ai/free/en/venues/emnlp/2025/) ×2, [EMNLP 2024](https://md.research.elamur.ai/free/en/venues/emnlp/2024/), [EMNLP 2022](https://md.research.elamur.ai/free/en/venues/emnlp/2022/) - [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/): [EACL 2023](https://md.research.elamur.ai/free/en/venues/eacl/2023/) - [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/): [Findings of the Association for Computational Linguistics 2023](https://md.research.elamur.ai/free/en/venues/findings/2023/) ## Cited by Papers of our library cite their works 216 times (of the 149,439 papers whose bibliographies we read); [38 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/jakub-macina/cited-by/). Updated 3 November 2026