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Tim Rocktäschel

Retrieval-augmented generation (RAG)

Co-authored RAG: a canonical reference for retrieval-augmented generation in NLP.

Highlights

RAGRetrievalNLP
Focus: Retrieval-augmented generation (RAG)
Why it matters: Co-authored RAG: a canonical reference for retrieval-augmented generation in NLP.
Start here
Retrieval-Augmented Generation for Knowledge-Intensive NLP Taskspaper →

Research Areas

RAGRetrievalNLP
Tim Rocktäschel - AI Researcher Profile | 500AI