DeFT-RAG: incrementally decomposing multi-hop questions into self-contained sub-questions with reusable answers
Read the original at arxiv.org→arXiv:2610.37826v1 Announce Type: new Abstract: Retrieval-augmented generation (RAG) lets a large language model (LLM) answer questions by retrieving relevant passages from a large corpus. However, RAG struggles...
Original headline: "DeFT-RAG: Incrementally Decomposing Multi-Hop Questions into Self-Contained Sub-Questions with Reusable Answers"
Coverage timeline
- Oct 30, 04:00 UTC arXiv cs.CL lead source DeFT-RAG: Incrementally Decomposing Multi-Hop Questions into Self-Contained Sub-Questions with Reusable Answers