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Shravan Nayak

Shravan Nayak has 2 papers in our library, in 2024–2026, most of them on Vision & language; often with Aishwarya Agrawal, Eduardo Blanco, Karolina Stanczak.

2 papers in our library · 2024–2026

OpenAlex · ORCID · h-index 4 · 35 works · 82 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 54 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #7035

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

🔬Mila - Quebec Artificial Intelligence InstituteMontreal · Canada2024–2026 · 13 paperscurrent🎓Université de MontréalMontreal · Canada2024–2026 · 8 paperscurrent🎓Indian Institute of Technology BHUVaranasi · India2017–2022 · 5 papersEducation 2017–2021 · BTech, Electronics Engineering🎓Banaras Hindu UniversityVaranasi · India2020–2022 · 2 papers🎓Universität HamburgHamburg · Germany2022 · 2 papers🏢MicrosoftHyderabad · India2021Employment since 2021 · Software Engineer, PowerPoint Mobile

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution on single bylines are not listed.

 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 worksComputer Vision and Pattern Recognition · 1 work

🧭 Topics 1Research subjects and languages the work is about.Vision & language · 1 work

 Works by year

2020s

20261 paper20241 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Benchmarking Vision Language Models for Cultural Understanding (2024 · 87 citations)
    Vision Language Models (VLMs) are usually tested on generic scene understanding, such as spotting objects, attributes and actions.
  2. Grammar Search for Multi-Agent Systems (2026)
    Automatically designing multi-agent systems (MASes) built from LLMs usually means letting an LLM write free-form code for each candidate.

All works

3 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. Benchmarking Vision Language Models for Cultural UnderstandingConference on Empirical Methods in Natural Language Processing (EMNLP)Shravan Nayak, Kanishk Jain, Rabiul Awal, et al.2024 · 87 citations
  2. Merkel Podcast Corpus: A Multimodal Dataset Compiled from 16 Years of Angela Merkel's Weekly Video Podcasts ↗Proceedings of the Thirteenth Language Resources and Evaluation Conference · no summary yetDebjoy Saha, Shravan Nayak, Timo Baumann2022 · 1 citation
  3. Grammar Search for Multi-Agent SystemsAnnual Meeting of the Association for Computational Linguistics (ACL)Mayank Singh, Vikas Yadav, Shiva Krishna Reddy Malay, et al.2026

 Co-authors here

9 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 54 times (of the 149,439 papers whose bibliographies we read); 16 citing papers with a page here →.

Updated

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