---
title: "Saurav Muralidharan — author profile and papers in our library"
description: "Saurav Muralidharan: 2 papers on Elamur Research (2024–2025), h-index 3 — affiliations, topics, co-authors and who cites them in our library."
canonical: "https://research.elamur.ai/free/en/authors/saurav-muralidharan/"
---
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# Saurav Muralidharan

Saurav Muralidharan has 2 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 [Shizhe Diao](https://md.research.elamur.ai/free/en/authors/shizhe-diao/), [Ameya Sunil Mahabaleshwarkar](https://md.research.elamur.ai/free/en/authors/ameya-sunil-mahabaleshwarkar/), [Gerald Shen](https://md.research.elamur.ai/free/en/authors/gerald-shen/).

2 papers in our library · 2024–2025

[OpenAlex](https://openalex.org/A5099241641) · [**h-index 3**](https://openalex.org/authors/A5099241641) · [17 works](https://openalex.org/works?filter=author.id:A5099241641) · [36 citations](https://openalex.org/works?filter=author.id:A5099241641&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/saurav-muralidharan/#papers) · [🔗 Cited 193 times in our library](https://md.research.elamur.ai/free/en/authors/saurav-muralidharan/cited-by/) · [⭐ Paper Stars ranking: #7329](https://md.research.elamur.ai/free/en/paper-stars/page/74/#star-7329)

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

## Affiliations

[🏢**Nvidia** Santa Clara · United States 2025 · 2 papers](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 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/) · [Computer Vision and Pattern Recognition · 1 work](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** 1 paper](https://md.research.elamur.ai/free/en/authors/saurav-muralidharan/year/2025/) · [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/saurav-muralidharan/year/2024/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Small Language Models are the Future of Agentic AI](https://md.research.elamur.ai/free/en/papers/belcak-2025-small-language-models-future-agentic/)** *(2025 · 92 citations)* This position paper from NVIDIA Research and Georgia Tech challenges a common industry practice: sending every request an AI agent makes to one large, general-purpose LLM hosted in the cloud.
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.

## Co-authors here

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

- [Shizhe Diao](https://md.research.elamur.ai/free/en/authors/shizhe-diao/) ×2
- [Ameya Sunil Mahabaleshwarkar](https://md.research.elamur.ai/free/en/authors/ameya-sunil-mahabaleshwarkar/)
- [Gerald Shen](https://md.research.elamur.ai/free/en/authors/gerald-shen/)
- [Jiaqi Zeng](https://md.research.elamur.ai/free/en/authors/jiaqi-zeng/)
- [Pavlo Molchanov](https://md.research.elamur.ai/free/en/authors/pavlo-molchanov/)
- [Peter Belcak](https://md.research.elamur.ai/free/en/authors/peter-belcak/)
- [Xin Dong](https://md.research.elamur.ai/free/en/authors/xin-dong/)
- [Yingyan Celine Lin](https://md.research.elamur.ai/free/en/authors/yingyan-celine-lin/)
- [Yonggan Fu](https://md.research.elamur.ai/free/en/authors/yonggan-fu/)
- [Yoshi Suhara](https://md.research.elamur.ai/free/en/authors/yoshi-suhara/)
- [Zijia Chen](https://md.research.elamur.ai/free/en/authors/zijia-chen/)

## Cited by

Papers of our library cite their works 193 times (of the 149,439 papers whose bibliographies we read); [41 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/saurav-muralidharan/cited-by/).

Updated 2 November 2026
