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.
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
Affiliations
Fields, topics and concepts
📚 Shelves 5The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 2 worksComputer Science · 2 worksArtificial Intelligence · 2 worksLanguage and Linguistics · 2 worksComputer Vision and Pattern Recognition · 1 work
🧭 Topics 2Research subjects and languages the work is about.Language models & pretraining · 2 worksEfficient models & compression · 1 work
Works by year
2020s
Papers
- 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. - 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
- Shizhe Diao ×2
- Ameya Sunil Mahabaleshwarkar
- Gerald Shen
- Jiaqi Zeng
- Pavlo Molchanov
- Peter Belcak
- Xin Dong
- Yingyan Celine Lin
- Yonggan Fu
- Yoshi Suhara
- Zijia Chen
Cited by
Updated
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