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Anush Mattapalli

1 accepted papers

2025

Speculative RAG: Enhancing Retrieval Augmented Generation through Drafting

ICLR 2025poster

Retrieval augmented generation (RAG) combines the generative abilities of large language models (LLMs) with external knowledge sources to provide more accurate and up-to-date responses. Recent RAG advancements focus on improving retrieval outcomes through iterative LLM refinement or self-critique ca…

Cited by 13SourcePDFScholar