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News/CRINN: Contrastive Reinforcement Learning for Approximate Nearest Neighbor Search
arxiv
PublishedJuly 14, 2026 at 4:00 AM

CRINN: Contrastive Reinforcement Learning for Approximate Nearest Neighbor Search

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arXiv:2508.02091v3 Announce Type: replace-cross Abstract: Approximate nearest-neighbor search (ANNS) algorithms have become increasingly critical for recent AI applications, particularly in retrieval-augmented generation (RAG) and agent-based LLM applications. In this paper, we present CRINN, a new

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