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Shubham Agarwal

Shubham Agarwal has 2 papers in our library, in 2024–2026, most of them on Language models & pretraining, Multilingual & cross-lingual NLP, Tokenization & segmentation; often with Arul Menezes, Christopher Pal, Gaurav Sahu.

2 papers in our library · 2024–2026

OpenAlex · ORCID · h-index 2 · 18 works · 8 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 13 times in our library · 3 more in our library without a page yet · ⭐ Paper Stars ranking: #9392

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

🎓University of California, BerkeleyBerkeley · United States2026 · 5 paperscurrent🏢Adobe SystemsSan Jose · United StatesEmployment

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 7The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 2 worksComputer Science · 2 worksDecision Sciences · 1 workArtificial Intelligence · 2 worksLanguage and Linguistics · 2 worksInformation Systems · 1 workStatistics, Probability and Uncertainty · 1 work

🧭 Topics 3Research subjects and languages the work is about.Language models & pretraining · 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. LitLLMs, LLMs for Literature Review: Are we there yet? (2024 · 16 citations)
    The paper asks whether current LLMs can help researchers draft the related-work section of a paper, starting from only an abstract or a short description of an idea.
  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…

All works

5 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. LitLLMs, LLMs for Literature Review: Are we there yet?arXiv:2412.15249Shubham Agarwal, Gaurav Sahu, Abhay Puri, et al.2024 · 16 citations
  2. SkyDiscover: A Flexible, Adaptive Framework for AI-Driven Scientific and Algorithmic Discovery ↗no summary yetShu Liu et al.2026 · 2 citations
  3. MUTANT: A Recipe for Multilingual Tokenizer DesignAnnual Meeting of the Association for Computational Linguistics (ACL)Souvik Rana, Ashish Kulkarni, Arul Menezes, et al.2026
  4. Reality Is the Final Verifier: On Two Key Gaps in Agentic Software Engineering ↗arXiv (Cornell University) · no summary yetAlexander Krentsel et al.2026
  5. The Time is Here for Just-in-Time Systems: Challenges and Opportunities ↗arXiv (Cornell University) · no summary yetShu Liu et al.2026

 Co-authors here

6 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 13 times (of the 149,439 papers whose bibliographies we read); 3 citing papers with a page here →.

Updated

This page in Markdown → https://md.research.elamur.ai/free/en/authors/shubham-agarwal/