--- title: "Alekh Agarwal — author profile and papers — Elamur Research" description: "Alekh Agarwal, Google: 2 papers on Elamur Research (2019–2024), h-index 40 — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/alekh-agarwal/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/alekh-agarwal/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Alekh Agarwal # Alekh Agarwal Alekh Agarwal has 2 papers in our library, in 2019–2024, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/); often with [Adam Fisch](https://md.research.elamur.ai/free/en/authors/adam-fisch/), [Amrith Setlur](https://md.research.elamur.ai/free/en/authors/amrith-setlur/), [Aviral Kumar](https://md.research.elamur.ai/free/en/authors/aviral-kumar/). 2 papers in our library · 2019–2024 [OpenAlex](https://openalex.org/A5036435487) · [ORCID](https://orcid.org/0000-0001-7032-7162) · [**h-index 40**](https://openalex.org/authors/A5036435487) · [152 works](https://openalex.org/works?filter=author.id:A5036435487) · [5,228 citations](https://openalex.org/works?filter=author.id:A5036435487&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/alekh-agarwal/#papers) · [🔗 Cited 211 times in our library](https://md.research.elamur.ai/free/en/authors/alekh-agarwal/cited-by/) · [2 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #4484](https://md.research.elamur.ai/free/en/paper-stars/page/45/#star-4484) 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=Alekh+Agarwal) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Alekh+Agarwal) · [dblp](https://dblp.org/search?q=Alekh+Agarwal) · [ACL Anthology](https://aclanthology.org/search/?q=Alekh+Agarwal) ## Affiliations [🏢**Google** Mountain View · United States 2021–2026 · 24 papers*current*](https://md.research.elamur.ai/free/en/companies/google/) · [🏢**Microsoft** Redmond · United States 2014–2021 · 41 papers](https://md.research.elamur.ai/free/en/companies/microsoft/) · [🎓**University of California, Berkeley** Berkeley · United States 2008–2013 · 24 papers](https://md.research.elamur.ai/free/en/universities/university-of-california-berkeley/) · [🏢**Microsoft Research New York City** New York · United States 2011–2018 · 20 papers](https://md.research.elamur.ai/free/en/companies/microsoft-research-new-york-city/) · [🎓**Indian Institute of Technology Bombay** Mumbai · India 2006–2007 · 4 papers](https://md.research.elamur.ai/free/en/universities/indian-institute-of-technology-bombay/) · [🎓**University of Southern California** Los Angeles · United States 2023–2024 · 2 papers](https://md.research.elamur.ai/free/en/universities/university-of-southern-california/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 2 more institutions on single bylines are not listed. ## Fields, topics and concepts Of its works in our library, with the number of works on each. 📚 Shelves 4 The field of science this work belongs to (OpenAlex fields).[Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Arts and Humanities · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Language and Linguistics · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) 🧭 Topics 2 Research subjects and languages the work is about.[Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) · [Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/) ## Works by year ### 2020s [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/alekh-agarwal/year/2024/) ### 2010s [**2019** 1 paper](https://md.research.elamur.ai/free/en/authors/alekh-agarwal/year/2019/) ## Papers The most cited first (OpenAlex and our library). 1. **[Deep Batch Active Learning by Diverse, Uncertain Gradient Lower Bounds](https://md.research.elamur.ai/free/en/papers/ash-2019-deep-batch-active-learning-diverse/)** *(2019 · 362 citations)* The paper addresses batch active learning for deep neural networks. The task is to select a whole group of unlabeled examples for labeling at once while spending as little annotator effort as possible. Methods that consider only model uncertainty often fill a batch with nearly identical examples. Methods that seek… 2. **[Rewarding Progress: Scaling Automated Process Verifiers for LLM Reasoning](https://md.research.elamur.ai/free/en/papers/setlur-2024-rewarding-progress-scaling-automated-process/)** *(2024 · 93 citations)* Process reward models (PRMs) score every step of a reasoning trace instead of only the final answer. Step labels written by humans are expensive, though, and earlier automatically labelled PRMs gave only marginal gains over outcome reward models (ORMs). This work asks what a step-level reward should actually measure.… ## All works 4 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them. 1. **[Deep Batch Active Learning by Diverse, Uncertain Gradient Lower Bounds](https://md.research.elamur.ai/free/en/papers/ash-2019-deep-batch-active-learning-diverse/) [International Conference on Learning Representations (ICLR)](https://md.research.elamur.ai/free/en/venues/international-conference-on-learning-representations-iclr/)**Jordan T. Ash, Chicheng Zhang, Akshay Krishnamurthy, et al.*2019 · 362 citations* 2. [**Rewarding Progress: Scaling Automated Process Verifiers for LLM Reasoning arXiv:2410.08146**Amrith Setlur, Chirag Nagpal, Adam Fisch, et al.*2024 · 93 citations*](https://md.research.elamur.ai/free/en/papers/setlur-2024-rewarding-progress-scaling-automated-process/) 3. **[Bias Correction of Learned Generative Models using Likelihood-Free Importance Weighting ↗](https://arxiv.org/abs/1906.09531) arXiv (Cornell University) · no summary yet**Aditya Grover et al.*2019 · 80 citations* 4. **[Peer Reviews of Peer Reviews: A Randomized Controlled Trial and Other Experiments ↗](https://arxiv.org/abs/2311.09497) arXiv:2311.09497 · no summary yet**Alexander Goldberg et al.*2023 · 32 citations* ## Co-authors here 8 co-authors with a page, the most papers together first. - [Adam Fisch](https://md.research.elamur.ai/free/en/authors/adam-fisch/) - [Amrith Setlur](https://md.research.elamur.ai/free/en/authors/amrith-setlur/) - [Aviral Kumar](https://md.research.elamur.ai/free/en/authors/aviral-kumar/) - [Jacob Eisenstein](https://md.research.elamur.ai/free/en/authors/jacob-eisenstein/) - [John C. Langford](https://md.research.elamur.ai/free/en/authors/john-c-langford/) - [Jonathan Berant](https://md.research.elamur.ai/free/en/authors/jonathan-berant/) - [Rishabh Agarwal](https://md.research.elamur.ai/free/en/authors/rishabh-agarwal/) - [Xinyang Geng](https://md.research.elamur.ai/free/en/authors/xinyang-geng/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [International Conference on Learning Representations (ICLR)](https://md.research.elamur.ai/free/en/venues/international-conference-on-learning-representations-iclr/): [ICLR 2019](https://md.research.elamur.ai/free/en/venues/international-conference-on-learning-representations-iclr/2019/) ## Cited by Papers of our library cite their works 211 times (of the 149,439 papers whose bibliographies we read); [29 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/alekh-agarwal/cited-by/). Updated 2 November 2026