2024
Learning When to Retrieve, What to Rewrite, and How to Respond in Conversational QA
EMNLP 2024finding
Augmenting Large Language Models (LLMs) with information retrieval capabilities (i.e., Retrieval-Augmented Generation (RAG)) has proven beneficial for knowledge-intensive tasks. However, understanding users’ contextual search intent when generating responses is an understudied topic for conversation…