Deepak Gupta

3 papers in our library · 2026

The profile is the library's match of the name; two people with one name are not always told apart.

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Of its works in our library, with the number of works on each.

The most cited first (OpenAlex and our library).

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.
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.
NEST: Nested Evidence Survival for Retrieval (2026)
Retrieval-augmented generation tends to break down when the corpus is flooded with distractors. In that setting, useful passages are sparse, and fixed top-k or static chunking can discard them before their relevance becomes clear. Adaptive alternatives such as DeepRAG or AutoRAG address this with learned or iterative…

4 co-authors with a page, the most papers together first.

Where their works here were published, the most works first, with the editions of those that have a page.

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 1 November 2026