---
title: "Sanket Vaibhav Mehta — author profile and papers in our library"
description: "Sanket Vaibhav Mehta: 2 papers on Elamur Research (2021–2025), h-index 9 — affiliations, topics, co-authors and who cites them in our library."
canonical: "https://research.elamur.ai/free/en/authors/sanket-vaibhav-mehta/"
---
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# Sanket Vaibhav Mehta

Sanket Vaibhav Mehta has 2 papers in our library, in 2021–2025, 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 [Bahare Fatemi](https://md.research.elamur.ai/free/en/authors/bahare-fatemi/), [Dara Bahri](https://md.research.elamur.ai/free/en/authors/dara-bahri/), [Gladys Tyen](https://md.research.elamur.ai/free/en/authors/gladys-tyen/).

2 papers in our library · 2021–2025

[OpenAlex](https://openalex.org/A5073777588) · [**h-index 9**](https://openalex.org/authors/A5073777588) · [24 works](https://openalex.org/works?filter=author.id:A5073777588) · [299 citations](https://openalex.org/works?filter=author.id:A5073777588&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/sanket-vaibhav-mehta/#papers) · [🔗 Cited 178 times in our library](https://md.research.elamur.ai/free/en/authors/sanket-vaibhav-mehta/cited-by/) · [2 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #6794](https://md.research.elamur.ai/free/en/paper-stars/page/68/#star-6794)

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

## Affiliations

[🎓**Carnegie Mellon University** Pittsburgh · United States 2018–2024 · 15 papers](https://md.research.elamur.ai/free/en/universities/carnegie-mellon-university/) · [🏢**Google DeepMind** London · United Kingdom 2022–2023 · 2 papers](https://md.research.elamur.ai/free/en/companies/google-deepmind/)

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/) · [Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Language and Linguistics · 2 works](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

[**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/sanket-vaibhav-mehta/year/2025/) · [**2021** 1 paper](https://md.research.elamur.ai/free/en/authors/sanket-vaibhav-mehta/year/2021/)

## Papers

The most cited first (OpenAlex and our library).

1. **[ExT5: Towards Extreme Multi-Task Scaling for Transfer Learning](https://md.research.elamur.ai/free/en/papers/aribandi-2021-ext5-towards-extreme-multi-task/)** *(2021 · 114 citations)* Multi-task learning helps transfer in NLP, but no one had systematically tested what happens when the number of supervised tasks used during pre-training is pushed very high.
2. **[BIG-Bench Extra Hard](https://md.research.elamur.ai/free/en/papers/kazemi-2025-big-bench-extra-hard/)** *(2025 · 58 citations)* BIG-Bench Hard (BBH) used to be the standard test of broad, non-mathematical reasoning in LLMs. Frontier systems now score above 90% on it, so it no longer separates strong models from each other. The authors present BIG-Bench Extra Hard (BBEH), which swaps each of the 23 BBH tasks for a new, much tougher task that…

## 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. [**ExT5: Towards Extreme Multi-Task Scaling for Transfer Learning arXiv:2111.10952**Vamsi Aribandi, Yi Tay, Tal Schuster, et al.*2021 · 114 citations*](https://md.research.elamur.ai/free/en/papers/aribandi-2021-ext5-towards-extreme-multi-task/)
2. **[BIG-Bench Extra Hard](https://md.research.elamur.ai/free/en/papers/kazemi-2025-big-bench-extra-hard/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Mehran Kazemi, Bahare Fatemi, Hritik Bansal, et al.*2025 · 58 citations*
3. **[DSI++: Updating Transformer Memory with New Documents ↗](https://aclanthology.org/2023.emnlp-main.510/) Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing · no summary yet**Sanket Vaibhav Mehta et al.*2023 · 35 citations*
4. **[Improving Compositional Generalization with Self-Training for Data-to-Text Generation ↗](https://aclanthology.org/2022.acl-long.289/) Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Sanket Vaibhav Mehta et al.*2022 · 32 citations*

## Co-authors here

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

- [Bahare Fatemi](https://md.research.elamur.ai/free/en/authors/bahare-fatemi/)
- [Dara Bahri](https://md.research.elamur.ai/free/en/authors/dara-bahri/)
- [Gladys Tyen](https://md.research.elamur.ai/free/en/authors/gladys-tyen/)
- [Honglei Zhuang](https://md.research.elamur.ai/free/en/authors/honglei-zhuang/)
- [Hritik Bansal](https://md.research.elamur.ai/free/en/authors/hritik-bansal/)
- [Huaixiu Steven Zheng](https://md.research.elamur.ai/free/en/authors/huaixiu-steven-zheng/)
- [Jai Gupta](https://md.research.elamur.ai/free/en/authors/jai-gupta/)
- [Jianmo Ni](https://md.research.elamur.ai/free/en/authors/jianmo-ni/)
- [Jinfeng Rao](https://md.research.elamur.ai/free/en/authors/jinfeng-rao/)
- [John Palowitch](https://md.research.elamur.ai/free/en/authors/john-palowitch/)
- [Kai Hui](https://md.research.elamur.ai/free/en/authors/kai-hui/)
- [Mehran Kazemi](https://md.research.elamur.ai/free/en/authors/mehran-kazemi/)

## Venues

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

- [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/) ×2: [ACL 2025](https://md.research.elamur.ai/free/en/venues/acl/2025/)
- Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing

## Cited by

Papers of our library cite their works 178 times (of the 149,439 papers whose bibliographies we read); [42 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/sanket-vaibhav-mehta/cited-by/).

Updated 2 November 2026
