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papersTODAY 04:00 UTC

Retrieve-Localize-Generate Framework Targets Long-Term Conversational Memory QA

A new arXiv paper proposes a retrieve-localize-generate pipeline for retrieval-augmented generation aimed at answering questions over long-term conversation history. The authors argue that current RAG methods fall short in this setting and frame their approach as addressing those gaps. The work appears as a replacement submission on arXiv's computation and language listing.

arXiv Retrieve-Localize-Generate Question answering long-term-conversational-memory retrieval-augmented generation

COVERAGE · 1 REPORT · LINKS GO TO THE ORIGINAL OUTLETS

arXiv cs.CLWhere to Look and What to Use: Retrieve-Localize-Generate for Long-Term Conversational Memory Question Answering ↗TODAY 04:00 UTC