Mehran Kazemi
Mehran Kazemi has 2 papers in our library, in 2024, most of them on Language models & pretraining; often with Arian Hosseini, Hritik Bansal, Rishabh Agarwal.
OpenAlex · h-index 9 · 30 works · 1 424 citations OpenAlex, 2026-10-14
2 works in our library · 3 742 citations in our library · 6 more works in our library · ⭐ Paper Star rank #3923
Affiliations
- Google (United States) · Mountain View, United States — 2023–2025 on 17 papers
- Google DeepMind (United Kingdom) · London, United Kingdom — 2024–2025 on 2 papers
Topics
Works by year
2020s
Papers
- Generative Verifiers: Reward Modeling as Next-Token Prediction (2024 · 143 citations)
Best-of-N selection lets an LLM sample many candidate solutions and relies on a learned verifier to choose the best one. - Smaller, Weaker, Yet Better: Training LLM Reasoners via Compute-Optimal Sampling (2024 · 26 citations)
A common way to improve LLM reasoning is to finetune on solutions sampled from a large, strong model. The authors ask whether this is the best use of a fixed inference budget measured in FLOPs. Because sampling cost grows with parameter count, a smaller model can produce proportionally more candidate solutions for…
Also in our library
Co-authors here
Cited by
This page in Markdown → https://md.research.elamur.ai/free/en/authors/mehran-kazemi/