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Retrieve-Localize-Generate

model1 events
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.

rag/question-answering/conversational-memory/arxiv