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Saurav Muralidharan

Saurav Muralidharan has 2 papers in our library, in 2024–2025, most of them on Language models & pretraining, Efficient models & compression; often with Shizhe Diao, Ameya Sunil Mahabaleshwarkar, Gerald Shen.

2 papers in our library · 2024–2025

OpenAlex · h-index 3 · 17 works · 36 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 193 times in our library · ⭐ Paper Stars ranking: #7329

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

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.

 Works by year

2020s

 Papers

The most cited first (OpenAlex and our library).

  1. Small Language Models are the Future of Agentic AI (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 (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.

 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 →.

Updated

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