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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, Reasoning; often with Bahare Fatemi, Dara Bahri, Gladys Tyen.

2 papers in our library · 2021–2025

OpenAlex · h-index 9 · 24 works · 299 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 178 times in our library · 2 more in our library without a page yet · ⭐ Paper Stars ranking: #6794

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

🎓Carnegie Mellon UniversityPittsburgh · United States2018–2024 · 15 papers🏢Google DeepMindLondon · United Kingdom2022–2023 · 2 papers

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 4The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksArts and Humanities · 2 worksComputer Science · 2 worksLanguage and Linguistics · 2 works

🧭 Topics 2Research subjects and languages the work is about.Language models & pretraining · 1 workReasoning · 1 work

 Works by year

2020s

20251 paper20211 paper

 Papers

The most cited first (OpenAlex and our library).

  1. ExT5: Towards Extreme Multi-Task Scaling for Transfer Learning (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 (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 LearningarXiv:2111.10952Vamsi Aribandi, Yi Tay, Tal Schuster, et al.2021 · 114 citations
  2. BIG-Bench Extra HardAnnual Meeting of the Association for Computational Linguistics (ACL)Mehran Kazemi, Bahare Fatemi, Hritik Bansal, et al.2025 · 58 citations
  3. DSI++: Updating Transformer Memory with New Documents ↗Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing · no summary yetSanket Vaibhav Mehta et al.2023 · 35 citations
  4. Improving Compositional Generalization with Self-Training for Data-to-Text Generation ↗Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetSanket Vaibhav Mehta et al.2022 · 32 citations

 Co-authors here

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

Venues

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

 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 →.

Updated

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