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Mukul Singh

Mukul Singh has 2 papers in our library, in 2026, most of them on Language models & pretraining; often with Sumit Gulwani.

2 papers in our library · 2026

OpenAlex · ORCID · Wikidata · h-index 10 · 121 works · 515 citations OpenAlex, 2026-10-14

📄 2 works in our library · ⭐ Paper Stars ranking: #12152

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

🏥Vardhman Mahavir Medical College & Safdarjung HospitalNew Delhi · India1993–2026 · 49 paperscurrent🏥Safdarjang HospitalNew Delhi · India1993–2026 · 32 paperscurrent🏢MicrosoftRedmond · United States2023–2026 · 12 paperscurrent🏛️All India Institute of Medical Sciences GorakhpurGorakhpur · India2025–2026 · 3 paperscurrent🎓Galgotias UniversityGreater Noida · India2026 · 3 paperscurrent🎓Georgia Institute of TechnologyAtlanta · United States2026 · 1 papercurrent🏢MicrosoftHyderabad · India2023–2024 · 11 papers🎓Indian Institute of Technology DelhiNew Delhi · India2021–2022 · 4 papers🎓Cornell UniversityIthaca · United States1984–2009 · 4 papers🏢MicrosoftZaventem · Belgium2023 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 9 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 6The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksArts and Humanities · 2 worksComputer Science · 2 worksComputer Vision and Pattern Recognition · 2 worksInformation Systems · 2 worksLanguage and Linguistics · 2 works

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

 Works by year

2020s

20262 papers

 Papers

The most cited first (OpenAlex and our library).

  1. Agentic Context Strategies for Multi-Format Document Understanding: When Should Language Models Use Tools? (2026)
    The paper asks how document content should be handed to large language models in enterprise question answering.
  2. Asking language models how to represent data for fine-tuning (2026)
    When small language models handle tables, database schemas or graphs, the structure must first be turned into text.

 Co-authors here

1 co-author 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.

Updated

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