--- title: "Ameya Sunil Mahabaleshwarkar — author profile and papers" description: "Ameya Sunil Mahabaleshwarkar: 4 papers on Elamur Research (2024–2025), h-index 3 — affiliations, topics, co-authors and who cites them…" canonical: "https://research.elamur.ai/free/en/authors/ameya-sunil-mahabaleshwarkar/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/ameya-sunil-mahabaleshwarkar/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Ameya Sunil Mahabaleshwarkar # Ameya Sunil Mahabaleshwarkar Ameya Sunil Mahabaleshwarkar has 4 papers in our library, in 2024–2025, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Efficient models & compression](https://md.research.elamur.ai/free/en/topics/efficient-models/); often with [Yoshi Suhara](https://md.research.elamur.ai/free/en/authors/yoshi-suhara/), [Shizhe Diao](https://md.research.elamur.ai/free/en/authors/shizhe-diao/), [Zijia Chen](https://md.research.elamur.ai/free/en/authors/zijia-chen/). 4 papers in our library · 2024–2025 [OpenAlex](https://openalex.org/A5063510148) · [**h-index 3**](https://openalex.org/authors/A5063510148) · [24 works](https://openalex.org/works?filter=author.id:A5063510148) · [90 citations](https://openalex.org/works?filter=author.id:A5063510148&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 4 works in our library](https://md.research.elamur.ai/free/en/authors/ameya-sunil-mahabaleshwarkar/#papers) · [🔗 Cited 405 times in our library](https://md.research.elamur.ai/free/en/authors/ameya-sunil-mahabaleshwarkar/cited-by/) · [⭐ Paper Stars ranking: #6266](https://md.research.elamur.ai/free/en/paper-stars/page/63/#star-6266) 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=Ameya+Sunil+Mahabaleshwarkar) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Ameya+Sunil+Mahabaleshwarkar) · [dblp](https://dblp.org/search?q=Ameya+Sunil+Mahabaleshwarkar) · [ACL Anthology](https://aclanthology.org/search/?q=Ameya+Sunil+Mahabaleshwarkar) ## Affiliations [🏢**Nvidia** Santa Clara · United States 2025 · 3 papers](https://md.research.elamur.ai/free/en/companies/nvidia/) · [🏢**Nvidia** Reading · United Kingdom 2025 · 2 papers](https://md.research.elamur.ai/free/en/companies/nvidia-united-kingdom/) 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 5 The field of science this work belongs to (OpenAlex fields).[Arts and Humanities · 4 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 4 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/) · [Computer Vision and Pattern Recognition · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) 🧭 Topics 2 Research subjects and languages the work is about.[Language models & pretraining · 2 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Efficient models & compression · 1 work](https://md.research.elamur.ai/free/en/topics/efficient-models/) ## Works by year ### 2020s [**2025** 2 papers](https://md.research.elamur.ai/free/en/authors/ameya-sunil-mahabaleshwarkar/year/2025/) · [**2024** 2 papers](https://md.research.elamur.ai/free/en/authors/ameya-sunil-mahabaleshwarkar/year/2024/) ## Papers The most cited first (OpenAlex and our library). 1. **[Hymba: A Hybrid-head Architecture for Small Language Models](https://md.research.elamur.ai/free/en/papers/dong-2024-hymba-hybrid-head-architecture-small/)** *(2024 · 50 citations)* Small language models must balance accuracy against memory and speed. Transformers recall context well, but their compute cost and KV cache grow quickly with sequence length. State space models such as Mamba run cheaply but recall poorly. Earlier hybrids stacked the two layer types one after another, so a weak layer… 2. **[LLM Pruning and Distillation in Practice: The Minitron Approach](https://md.research.elamur.ai/free/en/papers/sreenivas-2024-llm-pruning-distillation-practice-minitron/)** *(2024 · 44 citations)* Minitron-style compression trains only the largest model in a family and derives smaller ones by structured pruning followed by knowledge distillation. 3. **[Nemotron-H: A Family of Accurate and Efficient Hybrid Mamba-Transformer Models](https://md.research.elamur.ai/free/en/papers/blakeman-2025-nemotron-h-family-accurate-efficient/)** *(2025 · 38 citations)* Self-attention costs grow with sequence length, both in compute per generated token and in KV-cache memory. 4. **[When2Call: When (not) to Call Tools](https://md.research.elamur.ai/free/en/papers/ross-2025-when2call-when-not-call-tools/)** *(2025 · 11 citations)* Most tool-use benchmarks for language models test whether the right function is invoked with the right arguments. They rarely check whether a call should happen at all. When2Call targets this decision. Each item is framed as a four-way multiple-choice problem: ## Co-authors here 12 of 16 co-authors with a page, the most papers together first. - [Yoshi Suhara](https://md.research.elamur.ai/free/en/authors/yoshi-suhara/) ×3 - [Shizhe Diao](https://md.research.elamur.ai/free/en/authors/shizhe-diao/) ×2 - [Zijia Chen](https://md.research.elamur.ai/free/en/authors/zijia-chen/) ×2 - [Aarti Basant](https://md.research.elamur.ai/free/en/authors/aarti-basant/) - [Abhinav Khattar](https://md.research.elamur.ai/free/en/authors/abhinav-khattar/) - [Adithya Renduchintala](https://md.research.elamur.ai/free/en/authors/adithya-renduchintala/) - [Akhiad Bercovich](https://md.research.elamur.ai/free/en/authors/akhiad-bercovich/) - [Aleksander Ficek](https://md.research.elamur.ai/free/en/authors/aleksander-ficek/) - [Andrew Tao](https://md.research.elamur.ai/free/en/authors/andrew-tao/) - [Hayley Ross](https://md.research.elamur.ai/free/en/authors/hayley-ross/) - [Jan Kautz](https://md.research.elamur.ai/free/en/authors/jan-kautz/) - [Jiaqi Zeng](https://md.research.elamur.ai/free/en/authors/jiaqi-zeng/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/): [NAACL 2025](https://md.research.elamur.ai/free/en/venues/naacl/2025/) ## Cited by Papers of our library cite their works 405 times (of the 149,439 papers whose bibliographies we read); [81 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/ameya-sunil-mahabaleshwarkar/cited-by/). Updated 30 October 2026