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Ashish Kulkarni

Ashish Kulkarni has 2 papers in our library, in 2024–2026, most of them on Language models & pretraining, Multilingual & cross-lingual NLP, Reasoning; often with Arul Menezes, Debopriyo Banerjee, Debrup Das.

2 papers in our library · 2024–2026

OpenAlex · ORCID · h-index 5 · 22 works · 74 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 19 times in our library · ⭐ Paper Stars ranking: #10620

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

🎓Indian Institute of Technology BombayMumbai · India2013–2016 · 8 papers🏢RakutenTokyo · Japan2024 · 2 papers🏢AmazonSeattle · United States2018–2019 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine.

 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 5The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 2 worksComputer Science · 2 worksArtificial Intelligence · 2 worksLanguage and Linguistics · 2 worksComputational Theory and Mathematics · 1 work

🧭 Topics 4Research subjects and languages the work is about.Language models & pretraining · 1 workReasoning · 1 workMultilingual & cross-lingual NLP · 1 workTokenization & segmentation · 1 work

 Works by year

2020s

20261 paper20241 paper

 Papers

The most cited first (OpenAlex and our library).

  1. MATHSENSEI: A Tool-Augmented Large Language Model for Mathematical Reasoning (2024 · 27 citations)
    This paper examines whether connecting a large language model to external tools helps with difficult mathematics, not just simple arithmetic.
  2. MUTANT: A Recipe for Multilingual Tokenizer Design (2026)
    Tokenizers built mainly for English break Indian-language text into many small pieces. The LLaMA-4 tokenizer, for instance, needs roughly 10.5 tokens per word for Oriya. This raises training and inference costs and treats languages unequally. The authors propose MUTANT, a reproducible procedure for designing…

 Co-authors here

5 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 19 times (of the 149,439 papers whose bibliographies we read); 9 citing papers with a page here →.

Updated

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