How Evidence Generation Boosts Document-Grounded Dialogue with LLMs

This study introduces DGDE, a document‑grounded dialogue framework that leverages large language model‑generated evidence, combining retrieval, reranking, fine‑tuning, and iterative question correction to markedly improve accuracy, comprehensiveness, coherence, and completeness on the Doc2dial benchmark.

document-grounded dialogueevidence generationfine-tuning

0 likes · 21 min read

How Evidence Generation Boosts Document-Grounded Dialogue with LLMs