SLASH is a plug-and-play attention redistribution technique that counters attention sinks to enhance LLMs' intrinsic graph topology reconstruction without any training or fine-tuning.
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3 Pith papers cite this work, alongside 12 external citations. Polarity classification is still indexing.
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A survey proposing a holistic GraphRAG framework with components including query processor, retriever, organizer, generator, and data source, plus domain-tailored reviews, challenges, and future directions.
A cross-disciplinary review of 151 studies concludes LLMs accelerate research workflows while introducing recurring technical and ethical risks, including ten it flags as underexplored.
citing papers explorer
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SLASH the Sink: Sharpening Structural Attention Inside LLMs
SLASH is a plug-and-play attention redistribution technique that counters attention sinks to enhance LLMs' intrinsic graph topology reconstruction without any training or fine-tuning.
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Retrieval-Augmented Generation with Graphs (GraphRAG)
A survey proposing a holistic GraphRAG framework with components including query processor, retriever, organizer, generator, and data source, plus domain-tailored reviews, challenges, and future directions.
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From Text to Discovery: How Large Language Models Are Reshaping Research Across Scientific and Humanistic Disciplines
A cross-disciplinary review of 151 studies concludes LLMs accelerate research workflows while introducing recurring technical and ethical risks, including ten it flags as underexplored.