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ENTITY Natural Questions

Natural Questions

PulseAugur coverage of Natural Questions — every cluster mentioning Natural Questions across labs, papers, and developer communities, ranked by signal.

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Total · 30d
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6 over 90d
Releases · 30d
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Papers · 30d
6
6 over 90d
TIER MIX · 90D
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SENTIMENT · 30D

1 day(s) with sentiment data

RECENT · PAGE 1/1 · 6 TOTAL
  1. TOOL · CL_93461 ·

    New indexing framework SPI boosts RAG performance in vector databases

    Researchers have introduced Semantic Pyramid Indexing (SPI), a novel indexing framework for vector databases designed to enhance retrieval-augmented generation (RAG) pipelines. SPI adapts the retrieval depth based on qu…

  2. TOOL · CL_93123 ·

    CONCORD framework enhances device-cloud RAG with asynchronous sparse aggregation

    Researchers have introduced CONCORD, a new framework designed to optimize retrieval-augmented generation (RAG) in a device-cloud collaborative setting where private documents are kept on local devices and public knowled…

  3. RESEARCH · CL_56340 ·

    SilentRetrieval attack hijacks RAG systems with poisoned documents

    Researchers have developed "SilentRetrieval," a novel two-stage attack designed to compromise Retrieval-Augmented Generation (RAG) systems. This method uses adversarial data poisoning to inject manipulated documents tha…

  4. RESEARCH · CL_30773 ·

    PersonalAI 2.0 enhances LLMs with knowledge graphs and planning

    Researchers have developed PersonalAI 2.0 (PAI-2), a new framework that improves large language model (LLM) systems by integrating external knowledge graphs. PAI-2 employs a dynamic, multistage query processing pipeline…

  5. TOOL · CL_22035 ·

    RAG system architectures show varied robustness to knowledge base poisoning

    Researchers have investigated the vulnerability of Retrieval-Augmented Generation (RAG) systems to knowledge base poisoning, finding that system architecture significantly impacts adversarial robustness. Evaluations on …

  6. RESEARCH · CL_06661 ·

    Researchers propose Parametric Memory Head to improve generative retrieval models

    Researchers have developed a novel approach called Post-Adaptation Memory Tuning (PAMT) to address the challenge of catastrophic forgetting in generative information retrieval models. PAMT introduces a modular parametri…