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S. Dasgupta

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Preprint Sep 2026

BoundaryMORPH: Budgeted Reranking via Active Set Selection for Diffuse Retrieval

Open-ended queries in modern Retrieval-Augmented Generation (RAG) are increasingly"diffuse,"requiring a large set of documents to be assembled into a finite LLM context window. To ensure retrieval quality, systems use fast dual-encoders and more expensive cross-encoders (CEs) to score candidates. However, the CE budget...

Eylon Caplan, Shamik Roy, S. Dasgupta et al. · 0 citations
#natural language process... Preprint Mar 2026

PROMPT2BOX:Improving LLM Weakness Discovery and Specificity Estimation by Uncovering Entailment Structure among Prompts

To discover the weaknesses of LLMs, researchers often embed prompts into a vector space and cluster them to extract insightful patterns. However, vector embeddings primarily capture topical similarity; as a result, prompts that share a topic but differ in specificity, and consequently in difficulty, are often represent...

Neeladri Bhuiya, S. Dasgupta, Andrew McCallum et al. · 0 citations

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