Demonstrate-Search-Predict: Composing retrieval and language models for knowledge-intensive NLP

Omar Khattab, Keshav Santhanam, Xiang Lisa Li +4

Retrieval-augmented in-context learning has emerged as a powerful approach for addressing knowledge-intensive tasks using frozen language models (LM) and retrieval models (RM). Exi…