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News/CHOP: Chunkwise Context-Preserving Framework for RAG on Multi Documents
arxiv
PublishedApril 20, 2026 at 4:00 AM
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CHOP: Chunkwise Context-Preserving Framework for RAG on Multi Documents

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Publisher summary· verbatim

arXiv:2604.15802v1 Announce Type: new Abstract: Retrieval-Augmented Generation (RAG) systems lose retrieval accuracy when similar documents coexist in the vector database, causing unnecessary information, hallucinations, and factual errors. To alleviate this issue, we propose CHOP, a framework that

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Mentioned models
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#retrieval#language-models#information-retrieval#knowledge-bases

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Mentioned models
02
  • 01
    Large Language Models (LLMs)
  • 02
    RAG
Source
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arxiv
Read original ↗All from arxiv →
Tags
04
#retrieval#language-models#information-retrieval#knowledge-bases

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arxivLiveOption: Evaluating LLM Agents in Structured Option Trading with Nonlinear Payoffs3harxivA Computer Vision Approach to Visual Fraud Detection in Phishing Websites Using YOLOv83harxivThe Value of Memory in Language Agents3harxivHyScale: Scaling Long-Context Training for Learned Sparse Attention3h
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