---
title: "Ido Hakimi — author profile and papers — Elamur Research"
description: "Ido Hakimi, ETH Zurich: 2 papers on Elamur Research (2026), h-index 3 — affiliations, topics, co-authors and who cites them in our library."
canonical: "https://research.elamur.ai/free/en/authors/ido-hakimi/"
---
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# Ido Hakimi

Ido Hakimi has 2 papers in our library, in 2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/); often with [Alejandro Hernández-Cano](https://md.research.elamur.ai/free/en/authors/alejandro-hernandez-cano/), [Alexander Hägele](https://md.research.elamur.ai/free/en/authors/alexander-hagele/), [Angelika Romanou](https://md.research.elamur.ai/free/en/authors/angelika-romanou/).

2 papers in our library · 2026

[OpenAlex](https://openalex.org/A5111396952) · [**h-index 3**](https://openalex.org/authors/A5111396952) · [18 works](https://openalex.org/works?filter=author.id:A5111396952) · [40 citations](https://openalex.org/works?filter=author.id:A5111396952&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/ido-hakimi/#papers) · [🔗 Cited 156 times in our library](https://md.research.elamur.ai/free/en/authors/ido-hakimi/cited-by/) · [2 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #7223](https://md.research.elamur.ai/free/en/paper-stars/page/73/#star-7223)

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=Ido+Hakimi) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Ido+Hakimi) · [dblp](https://dblp.org/search?q=Ido+Hakimi) · [ACL Anthology](https://aclanthology.org/search/?q=Ido+Hakimi)

## Affiliations

[🎓**ETH Zurich** Zurich · Switzerland 2025–2026 · 11 papers*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 5 The field of science this work belongs to (OpenAlex fields).[Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/)

🧭 Topics 1 Research subjects and languages the work is about.[Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/)

## Works by year

### 2020s

[**2026** 2 papers](https://md.research.elamur.ai/free/en/authors/ido-hakimi/year/2026/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Reinforcement Learning via Self-Distillation](https://md.research.elamur.ai/free/en/papers/hubotter-2026-reinforcement-learning-self-distillation/)** *(2026 · 74 citations)* Policy-gradient RL with verifiable rewards, such as GRPO, gets only one scalar score per attempt. That makes it hard to tell which tokens caused a failure, and learning stops when every rollout in a group gets the same score. The authors point out that many environments also return text explaining the outcome, such…
2. **[Apertus: Democratizing Open and Compliant LLMs for Global Language Environments](https://md.research.elamur.ai/free/en/papers/cano-2026-apertus-democratizing-open-compliant-llms/)** *(2026 · 68 citations)* Most "open" LLMs release only their weights. Their training data stays undisclosed, may ignore content owners' rights, and is heavily skewed toward English and a few high-resource languages. Apertus responds with a fully open suite of 8B and 70B models, both base and Instruct. Pretraining used 15T tokens drawn only…

## All works

4 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

1. [**Reinforcement Learning via Self-Distillation arXiv:2601.20802**Jonas Hubotter, Frederike Lubeck, Lejs Behric, et al.*2026 · 74 citations*](https://md.research.elamur.ai/free/en/papers/hubotter-2026-reinforcement-learning-self-distillation/)
2. **[Apertus: Democratizing Open and Compliant LLMs for Global Language Environments](https://md.research.elamur.ai/free/en/papers/cano-2026-apertus-democratizing-open-compliant-llms/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Alejandro Hernández-Cano, Alexander Hägele, Allen Hao Huang, et al.*2026 · 68 citations*
3. **[MathTutorBench: A Benchmark for Measuring Open-ended Pedagogical Capabilities of LLM Tutors ↗](https://aclanthology.org/2025.emnlp-main.11/) Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing · no summary yet**Jakub Macina et al.*2025 · 33 citations*
4. **[From Problem-Solving to Teaching Problem-Solving: Aligning LLMs with Pedagogy using Reinforcement Learning ↗](https://doi.org/10.18653/v1/2025.emnlp-main.15) Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing · no summary yet**David Dinucu-Jianu et al.*2025 · 19 citations*

## Co-authors here

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

- [Alejandro Hernández-Cano](https://md.research.elamur.ai/free/en/authors/alejandro-hernandez-cano/)
- [Alexander Hägele](https://md.research.elamur.ai/free/en/authors/alexander-hagele/)
- [Angelika Romanou](https://md.research.elamur.ai/free/en/authors/angelika-romanou/)
- [Bettina Messmer](https://md.research.elamur.ai/free/en/authors/bettina-messmer/)
- [Carlos Guestrin](https://md.research.elamur.ai/free/en/authors/carlos-guestrin/)
- [Mete Ismayilzada](https://md.research.elamur.ai/free/en/authors/mete-ismayilzada/)

## Venues

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

- Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing ×2
- [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/): [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/)

## Cited by

Papers of our library cite their works 156 times (of the 149,439 papers whose bibliographies we read); [31 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/ido-hakimi/cited-by/).

Updated 2 November 2026
