--- title: "Siddhartha Jain — author profile and papers · Reasoning" description: "Siddhartha Jain, Nvidia: 2 papers on Elamur Research (2025–2026), h-index 0 — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/siddhartha-jain/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/siddhartha-jain/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Siddhartha Jain # Siddhartha Jain Siddhartha Jain 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/), [Sean Narenthiran](https://md.research.elamur.ai/free/en/authors/sean-narenthiran/). 2 papers in our library · 2025–2026 [OpenAlex](https://openalex.org/A5124919691) · [**h-index 0**](https://openalex.org/authors/A5124919691) · [4 works](https://openalex.org/works?filter=author.id:A5124919691) · [0 citations](https://openalex.org/works?filter=author.id:A5124919691&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/siddhartha-jain/#papers) · [🔗 Cited 32 times in our library](https://md.research.elamur.ai/free/en/authors/siddhartha-jain/cited-by/) · [⭐ Paper Stars ranking: #9523](https://md.research.elamur.ai/free/en/paper-stars/page/96/#star-9523) 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=Siddhartha+Jain) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Siddhartha+Jain) · [dblp](https://dblp.org/search?q=Siddhartha+Jain) · [ACL Anthology](https://aclanthology.org/search/?q=Siddhartha+Jain) ## Affiliations [🏢**Nvidia** Reading · United Kingdom 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/companies/nvidia-united-kingdom/) · [🏢**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/siddhartha-jain/year/2026/) · [**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/siddhartha-jain/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. ## 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 - [Sean Narenthiran](https://md.research.elamur.ai/free/en/authors/sean-narenthiran/) ×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 32 times (of the 149,439 papers whose bibliographies we read); [18 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/siddhartha-jain/cited-by/). Updated 31 October 2026