---
title: "Mayank Mishra — author profile and papers — Elamur Research"
description: "Mayank Mishra: 3 papers on Elamur Research (2023–2024), h-index 6 — affiliations, topics, co-authors and who cites them in our library."
canonical: "https://research.elamur.ai/free/en/authors/mayank-mishra/"
---
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# Mayank Mishra

Mayank Mishra has 3 papers in our library, in 2023–2024, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Code & programming languages](https://md.research.elamur.ai/free/en/topics/code-and-programming/), [Efficient models & compression](https://md.research.elamur.ai/free/en/topics/efficient-models/); often with [Alex Gu](https://md.research.elamur.ai/free/en/authors/alex-gu/), [Aniruddha Nrusimha](https://md.research.elamur.ai/free/en/authors/aniruddha-nrusimha/), [Carolyn Jane Anderson](https://md.research.elamur.ai/free/en/authors/carolyn-jane-anderson/).

3 papers in our library · 2023–2024

[OpenAlex](https://openalex.org/A5101511088) · [ORCID](https://orcid.org/0000-0001-8964-4133) · [**h-index 6**](https://openalex.org/authors/A5101511088) · [15 works](https://openalex.org/works?filter=author.id:A5101511088) · [1,005 citations](https://openalex.org/works?filter=author.id:A5101511088&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/mayank-mishra/#papers) · [🔗 Cited 760 times in our library](https://md.research.elamur.ai/free/en/authors/mayank-mishra/cited-by/) · [4 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #5920](https://md.research.elamur.ai/free/en/paper-stars/page/60/#star-5920)

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

## Affiliations

[🏢**IBM** Armonk · United States 2023–2024 · 6 papers](https://md.research.elamur.ai/free/en/companies/ibm/)

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 6 The field of science this work belongs to (OpenAlex fields).[Arts and Humanities · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Information Systems · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/)

🧭 Topics 3 Research subjects and languages the work is about.[Efficient models & compression · 1 work](https://md.research.elamur.ai/free/en/topics/efficient-models/) · [Code & programming languages · 1 work](https://md.research.elamur.ai/free/en/topics/code-and-programming/) · [Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/)

## Works by year

### 2020s

[**2024** 2 papers](https://md.research.elamur.ai/free/en/authors/mayank-mishra/year/2024/) · [**2023** 1 paper](https://md.research.elamur.ai/free/en/authors/mayank-mishra/year/2023/)

## Papers

The most cited first (OpenAlex and our library).

1. **[SantaCoder: don't reach for the stars!](https://md.research.elamur.ai/free/en/papers/allal-2023-santacoder-don-t-reach-stars/)** *(2023 · 167 citations)* Most code LLMs are built with little transparency: training data, preprocessing, and design choices are rarely disclosed.
2. **[Reducing Transformer Key-Value Cache Size with Cross-Layer Attention](https://md.research.elamur.ai/free/en/papers/brandon-2024-reducing-transformer-key-value-cache/)** *(2024 · 57 citations)* When large language models generate text autoregressively, they store keys and values (the KV cache) for every token and layer.
3. **[Granite Code Models: A Family of Open Foundation Models for Code Intelligence](https://md.research.elamur.ai/free/en/papers/mishra-2024-granite-code-models-family-open/)** *(2024 · 54 citations)* IBM Research addresses a gap in open code LLMs for enterprise use. Large general-purpose models are costly to run. Smaller code models tend to do well at generation but weaker at repair and explanation. Many open models also have unclear data provenance or restrictive licenses. The authors built Granite Code, a…

## All works

7 works of theirs in our library, the most cited first; 3 with a page here, the others link their original until we summarise them.

1. **[StarCoder: may the source be with you! ↗](https://arxiv.org/abs/2305.06161) arXiv:2305.06161 · no summary yet**Raymond Li et al.*2023 · 732 citations*
2. [**SantaCoder: don't reach for the stars! arXiv:2301.03988**Loubna Ben Allal, Raymond Li, Denis Kocetkov, et al.*2023 · 167 citations*](https://md.research.elamur.ai/free/en/papers/allal-2023-santacoder-don-t-reach-stars/)
3. **[Reducing Transformer Key-Value Cache Size with Cross-Layer Attention](https://md.research.elamur.ai/free/en/papers/brandon-2024-reducing-transformer-key-value-cache/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**William Brandon, Mayank Mishra, Aniruddha Nrusimha, et al.*2024 · 57 citations*
4. [**Granite Code Models: A Family of Open Foundation Models for Code Intelligence arXiv:2405.04324**Mayank Mishra, Matt Stallone, Gaoyuan Zhang, et al.*2024 · 54 citations*](https://md.research.elamur.ai/free/en/papers/mishra-2024-granite-code-models-family-open/)
5. **[Dense Training, Sparse Inference: Rethinking Training of Mixture-of-Experts Language Models ↗](https://arxiv.org/abs/2404.05567) arXiv:2404.05567 · no summary yet**Bowen Pan et al.*2024 · 14 citations*
6. **[Mitigating the Impact of Outlier Channels for Language Model Quantization with Activation Regularization ↗](https://arxiv.org/abs/2404.03605) arXiv:2404.03605 · no summary yet**Aniruddha Nrusimha et al.*2024 · 6 citations*
7. **[FlashFormer: Whole-Model Kernels for Efficient Low-Batch Inference ↗](https://arxiv.org/abs/2505.22758) arXiv (Cornell University) · no summary yet**Aniruddha Nrusimha et al.*2025 · 3 citations*

## Co-authors here

12 of 16 co-authors with a page, the most papers together first.

- [Alex Gu](https://md.research.elamur.ai/free/en/authors/alex-gu/)
- [Aniruddha Nrusimha](https://md.research.elamur.ai/free/en/authors/aniruddha-nrusimha/)
- [Carolyn Jane Anderson](https://md.research.elamur.ai/free/en/authors/carolyn-jane-anderson/)
- [Chenghao Mou](https://md.research.elamur.ai/free/en/authors/chenghao-mou/)
- [Christopher Akiki](https://md.research.elamur.ai/free/en/authors/christopher-akiki/)
- [Logesh Kumar Umapathi](https://md.research.elamur.ai/free/en/authors/logesh-kumar-umapathi/)
- [Loubna Ben Allal](https://md.research.elamur.ai/free/en/authors/loubna-ben-allal/)
- [Manan Dey](https://md.research.elamur.ai/free/en/authors/manan-dey/)
- [Michele Merler](https://md.research.elamur.ai/free/en/authors/michele-merler/)
- [Niklas Muennighoff](https://md.research.elamur.ai/free/en/authors/niklas-muennighoff/)
- [Parameswaran Selvam](https://md.research.elamur.ai/free/en/authors/parameswaran-selvam/)
- [Rameswar Panda](https://md.research.elamur.ai/free/en/authors/rameswar-panda/)

## 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/): [NeurIPS 2024](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2024/)

## Cited by

Papers of our library cite their works 760 times (of the 149,439 papers whose bibliographies we read); [187 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/mayank-mishra/cited-by/).

Updated 3 November 2026
