arxiv
PublishedApril 27, 2026 at 4:00 AM
—neutral
Bridging the Long-Tail Gap: Robust Retrieval-Augmented Relation Completion via Multi-Stage Paraphrase Infusion
Publisher summary· verbatim
arXiv:2604.22261v1 Announce Type: new Abstract: Large language models (LLMs) struggle with relation completion (RC), both with and without retrieval-augmented generation (RAG), particularly when the required information is rare or sparsely represented. To address this, we propose a novel multi-stage
Stay posted· Newsletter
A 5-min weekly brief — top movers, price watch, story of the week.
Discussion
No replies yet. Be first.
Related coverage
More from ARXIV
arxivIMEX Interaction-Based Model Explanation1harxivDialogueVPR: Towards Conversational Visual Place Recognition1harxivHuman AI Construction of Bayesian Networks for Operational Decision Support -- A Virtual Survey Approach1harxivOrchestrating Power Grid Studies with Multi-Agent AI and MCP Servers1hThe Bubble Brief
WEEKLYRead AI insights every Tuesday — top movers, new releases, story of the week.
Originally published on arxiv ↗