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Swapnil Gupta

Swapnil Gupta has 2 papers in our library, in 2026, most of them on Language models & pretraining, Reasoning, Information retrieval & search; often with Akshay Verma, Deepak Gupta, Prateek Sircar.

2 papers in our library · 2026

OpenAlex · ORCID · h-index 4 · 14 works · 64 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 2 times in our library · ⭐ Paper Stars ranking: #10601

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

🏢AmazonSeattle · United States2024–2026 · 3 paperscurrent🎓Jaypee Institute of Information TechnologyNoida · India2019 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 4 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).Arts and Humanities · 2 worksComputer Science · 2 worksArtificial Intelligence · 2 worksLanguage and Linguistics · 2 worksInformation Systems · 1 workComputer Vision and Pattern Recognition · 1 work

🧭 Topics 3Research subjects and languages the work is about.Information retrieval & search · 1 workLanguage models & pretraining · 1 workReasoning · 1 work

 Works by year

2020s

20262 papers

 Papers

The most cited first (OpenAlex and our library).

  1. ReflectiveRAG: Rethinking Adaptivity in Retrieval-Augmented Generation (2026 · 3 citations)
    Retrieval-augmented generation tends to break down when the retrieved context is dominated by irrelevant or duplicated passages.
  2. SELENE: Selective and Evidence-Weighted LLM Debating for Efficient and Reliable Reasoning (2026 · 2 citations)
    Multi-agent debate (MAD) lets several LLMs argue before a judge picks an answer, which can curb hallucinations. However, debating every question is expensive, and a lone judge is easily swayed by wording or verbosity. The Amazon authors propose SELENE, a training-free extension of CFMAD with two parts.

 Co-authors here

4 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 2 times (of the 149,439 papers whose bibliographies we read); 1 citing paper with a page here →.

Updated

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