---
title: "Vedant Misra — author profile and papers — Elamur Research"
description: "Vedant Misra: 2 papers on Elamur Research (2022), h-index 10 — affiliations, topics, co-authors and who cites them in our library."
canonical: "https://research.elamur.ai/free/en/authors/vedant-misra/"
---
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# Vedant Misra

Vedant Misra has 2 papers in our library, in 2022, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/); often with [Aitor Lewkowycz](https://md.research.elamur.ai/free/en/authors/aitor-lewkowycz/), [Ambrose Slone](https://md.research.elamur.ai/free/en/authors/ambrose-slone/), [Anders Andreassen](https://md.research.elamur.ai/free/en/authors/anders-andreassen/).

2 papers in our library · 2022

[OpenAlex](https://openalex.org/A5030875603) · [**h-index 10**](https://openalex.org/authors/A5030875603) · [12 works](https://openalex.org/works?filter=author.id:A5030875603) · [5,804 citations](https://openalex.org/works?filter=author.id:A5030875603&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/vedant-misra/#papers) · [🔗 Cited 10,212 times in our library](https://md.research.elamur.ai/free/en/authors/vedant-misra/cited-by/) · [1 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #5419](https://md.research.elamur.ai/free/en/paper-stars/page/55/#star-5419)

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

## Affiliations

[🏢**Google** Mountain View · United States 2022 · 2 papers](https://md.research.elamur.ai/free/en/companies/google/)

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 1 Research subjects and languages the work is about.[Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/)

## Works by year

### 2020s

[**2022** 2 papers](https://md.research.elamur.ai/free/en/authors/vedant-misra/year/2022/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Grokking: Generalization Beyond Overfitting on Small Algorithmic Datasets](https://md.research.elamur.ai/free/en/papers/power-2022-grokking-generalization-overfitting-small-algorithmic/)** *(2022 · 177 citations)* Why heavily overparameterized networks generalize instead of simply memorizing their training data is still poorly understood.
2. **[Exploring Length Generalization in Large Language Models](https://md.research.elamur.ai/free/en/papers/anil-2022-exploring-length-generalization-large-language/)** *(2022 · 139 citations)* In reasoning tasks such as formal proofs and math solutions, long examples are rare, so models must learn from short examples and still solve longer ones.

## All works

3 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. **[Gemma 3 Technical Report ↗](https://arxiv.org/abs/2503.19786) arXiv:2503.19786 · no summary yet**Gemma Team et al.*2025 · 1,147 citations*
2. [**Grokking: Generalization Beyond Overfitting on Small Algorithmic Datasets arXiv:2201.02177**Alethea Power, Yuri Burda, Harri Edwards, et al.*2022 · 177 citations*](https://md.research.elamur.ai/free/en/papers/power-2022-grokking-generalization-overfitting-small-algorithmic/)
3. [**Exploring Length Generalization in Large Language Models arXiv:2207.04901**Cem Anil, Yuhuai Wu, Anders Andreassen, et al.*2022 · 139 citations*](https://md.research.elamur.ai/free/en/papers/anil-2022-exploring-length-generalization-large-language/)

## Co-authors here

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

- [Aitor Lewkowycz](https://md.research.elamur.ai/free/en/authors/aitor-lewkowycz/)
- [Ambrose Slone](https://md.research.elamur.ai/free/en/authors/ambrose-slone/)
- [Anders Andreassen](https://md.research.elamur.ai/free/en/authors/anders-andreassen/)
- [Behnam Neyshabur](https://md.research.elamur.ai/free/en/authors/behnam-neyshabur/)
- [Cem Anil](https://md.research.elamur.ai/free/en/authors/cem-anil/)
- [Ethan Dyer](https://md.research.elamur.ai/free/en/authors/ethan-dyer/)
- [Harri Edwards](https://md.research.elamur.ai/free/en/authors/harri-edwards/)
- [Igor Babuschkin](https://md.research.elamur.ai/free/en/authors/igor-babuschkin/)
- [Vinay Ramasesh](https://md.research.elamur.ai/free/en/authors/vinay-ramasesh/)
- [Yuhuai Wu](https://md.research.elamur.ai/free/en/authors/yuhuai-wu/)
- [Yuri Burda](https://md.research.elamur.ai/free/en/authors/yuri-burda/)

## Venues

Where their works here were published, the most works first, with the editions of those that have a page.

- [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)

## Cited by

Papers of our library cite their works 10,212 times (of the 149,439 papers whose bibliographies we read); [2,178 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/vedant-misra/cited-by/).

Updated 2 November 2026
