ArchRAG proposes attributed-community hierarchical indexing and LLM clustering to improve accuracy and lower token usage in graph-based retrieval-augmented generation.
S.; Reid, M.; Matsuo, Y.; and Iwasawa, Y
2 Pith papers cite this work. Polarity classification is still indexing.
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LLM analysis of highly-upvoted Reddit comments yields 64-72 macro/meso/micro values per year; existing prosocial measures capture only 18% on average while the method also recovers and extends prior qualitative taxonomies.
citing papers explorer
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ArchRAG: Attributed Community-based Hierarchical Retrieval-Augmented Generation
ArchRAG proposes attributed-community hierarchical indexing and LLM clustering to improve accuracy and lower token usage in graph-based retrieval-augmented generation.
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Uncovering the Internet's Hidden Values: An Empirical Study of Desirable Behavior Using Highly-Upvoted Content on Reddit
LLM analysis of highly-upvoted Reddit comments yields 64-72 macro/meso/micro values per year; existing prosocial measures capture only 18% on average while the method also recovers and extends prior qualitative taxonomies.