--- title: "Sean Narenthiran · Nvidia — author profile and papers" description: "Sean Narenthiran, Nvidia: 2 papers on Elamur Research (2025–2026), h-index 4 — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/sean-narenthiran/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/sean-narenthiran/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Sean Narenthiran # Sean Narenthiran Sean Narenthiran has 2 papers in our library, in 2025–2026, most of them on [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/), [Efficient models & compression](https://md.research.elamur.ai/free/en/topics/efficient-models/); often with [Aleksander Ficek](https://md.research.elamur.ai/free/en/authors/aleksander-ficek/), [Boris Ginsburg](https://md.research.elamur.ai/free/en/authors/boris-ginsburg/), [Siddhartha Jain](https://md.research.elamur.ai/free/en/authors/siddhartha-jain/). 2 papers in our library · 2025–2026 [OpenAlex](https://openalex.org/A5090407830) · [**h-index 4**](https://openalex.org/authors/A5090407830) · [21 works](https://openalex.org/works?filter=author.id:A5090407830) · [147 citations](https://openalex.org/works?filter=author.id:A5090407830&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/sean-narenthiran/#papers) · [🔗 Cited 420 times in our library](https://md.research.elamur.ai/free/en/authors/sean-narenthiran/cited-by/) · [2 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #8319](https://md.research.elamur.ai/free/en/paper-stars/page/84/#star-8319) 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=Sean+Narenthiran) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Sean+Narenthiran) · [dblp](https://dblp.org/search?q=Sean+Narenthiran) · [ACL Anthology](https://aclanthology.org/search/?q=Sean+Narenthiran) ## Affiliations [🏢**Nvidia** Santa Clara · United States 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/companies/nvidia/) 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 6 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/) · [Computer Science Applications · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-science-applications/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) 🧭 Topics 2 Research subjects and languages the work is about.[Efficient models & compression · 1 work](https://md.research.elamur.ai/free/en/topics/efficient-models/) · [Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/) ## Works by year ### 2020s [**2026** 1 paper](https://md.research.elamur.ai/free/en/authors/sean-narenthiran/year/2026/) · [**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/sean-narenthiran/year/2025/) ## Papers The most cited first (OpenAlex and our library). 1. **[OpenCodeReasoning: Advancing Data Distillation for Competitive Coding](https://md.research.elamur.ai/free/en/papers/ahmad-2025-opencodereasoning-advancing-data-distillation-competitive/)** *(2025 · 33 citations)* Distilling reasoning from large models into smaller ones has strongly improved coding performance. However, the best recipes usually depend on closed datasets or say little about how the data was curated. NVIDIA researchers address this with OpenCodeReasoning, a large open supervised fine-tuning corpus for… 2. **[Scaling Test-Time Compute to Achieve IOI Gold Medal with Open-Weight Models](https://md.research.elamur.ai/free/en/papers/samadi-2026-scaling-test-time-compute-achieve/)** *(2026 · 1 citation)* OpenAI and Google DeepMind report gold-medal results at olympiad-level programming contests, but they have disclosed little about how they did it. Open-weight models have lagged behind. NVIDIA researchers present GenCluster, a test-time compute pipeline that aims for the same level openly and reproducibly. ## 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. **[OpenMathInstruct-1: A 1.8 Million Math Instruction Tuning Dataset ↗](https://arxiv.org/abs/2402.10176) arXiv:2402.10176 · no summary yet**Shubham Toshniwal et al.*2024 · 98 citations* 2. **[TorchAudio: Building Blocks for Audio and Speech Processing ↗](https://arxiv.org/abs/2110.15018) arXiv:2110.15018 · no summary yet**Yao-Yuan Yang et al.*2021 · 34 citations* 3. [**OpenCodeReasoning: Advancing Data Distillation for Competitive Coding arXiv:2504.01943**Wasi Uddin Ahmad, Sean Narenthiran, Somshubra Majumdar, et al.*2025 · 33 citations*](https://md.research.elamur.ai/free/en/papers/ahmad-2025-opencodereasoning-advancing-data-distillation-competitive/) 4. **[Scaling Test-Time Compute to Achieve IOI Gold Medal with Open-Weight Models](https://md.research.elamur.ai/free/en/papers/samadi-2026-scaling-test-time-compute-achieve/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Mehrzad Samadi, Aleksander Ficek, Sean Narenthiran, et al.*2026 · 1 citation* ## Co-authors here 6 co-authors with a page, the most papers together first. - [Aleksander Ficek](https://md.research.elamur.ai/free/en/authors/aleksander-ficek/) ×2 - [Boris Ginsburg](https://md.research.elamur.ai/free/en/authors/boris-ginsburg/) ×2 - [Siddhartha Jain](https://md.research.elamur.ai/free/en/authors/siddhartha-jain/) ×2 - [Somshubra Majumdar](https://md.research.elamur.ai/free/en/authors/somshubra-majumdar/) ×2 - [Vahid Noroozi](https://md.research.elamur.ai/free/en/authors/vahid-noroozi/) ×2 - [Wasi Uddin Ahmad](https://md.research.elamur.ai/free/en/authors/wasi-uddin-ahmad/) ×2 ## 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)](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 420 times (of the 149,439 papers whose bibliographies we read); [84 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/sean-narenthiran/cited-by/). Updated 31 October 2026