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Dhruv Sahnan

Dhruv Sahnan has 3 papers in our library, in 2026, most of them on Language models & pretraining, Evaluation & benchmarks, Reasoning; often with Debopriyo Banerjee, Zhuohan Xie, Daniil Orel.

3 papers in our library · 2026

OpenAlex · ORCID · h-index 5 · 21 works · 127 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 12 times in our library · ⭐ Paper Stars ranking: #9428

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

🎓Mohamed bin Zayed University of Artificial IntelligenceAbu Dhabi · United Arab Emirates2025–2026 · 12 paperscurrent🎓Indraprastha Institute of Information Technology DelhiDelhi · India2021–2023 · 7 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 7The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 3 worksComputer Science · 3 worksArtificial Intelligence · 3 worksLanguage and Linguistics · 3 worksComputer Vision and Pattern Recognition · 1 workSocial Sciences · 1 workSociology and Political Science · 1 work

🧭 Topics 3Research subjects and languages the work is about.Evaluation & benchmarks · 1 workReasoning · 1 workLanguage models & pretraining · 1 work

 Works by year

2020s

20263 papers

 Papers

The most cited first (OpenAlex and our library).

  1. FinChain: A Symbolic Benchmark for Verifiable Chain-of-Thought Financial Reasoning (2026 · 10 citations)
    Current financial QA benchmarks such as FinQA and ConvFinQA mostly score the final number a model produces.
  2. Can LLMs Automate Fact-Checking Article Writing? (2026 · 5 citations)
    Research on automated fact-checking usually ends at spotting claims, retrieving evidence, assigning a verdict and, at most, producing a short justification.
  3. Nanda Family: Open-Weights Generative Large Language Models for Hindi (2026)
    Most LLMs are built mainly around English. This leaves Hindi underserved, even though it is one of the most widely spoken languages. Hindi also lacks large, clean corpora and culturally aware models. The authors present the Nanda family, two open-weight bilingual Hindi–English chat models: Nanda-10B, based on…

 Co-authors here

12 of 19 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 12 times (of the 149,439 papers whose bibliographies we read); 3 citing papers with a page here →.

Updated

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