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Optimizing Hypergraph-Based RAG: Toward Better Fact Extraction and Chunk Retriev

BACKGROUND

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How the story developed

24 Jul

Optimizing Hypergraph-Based RAG: Toward Better Fact Extraction and Chunk Retrieval

REPORT · WHAT · ArXiv CS.AI

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9 May

FinRAG-12B: A Production-Validated Recipe for Grounded Question Answering in Banking

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14 May

Retrieval is Cheap, Show Me the Code: Executable Multi-Hop Reasoning for Retrieval-Augmented Generation

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21 May

ClusterRAG: Cluster-Based Collaborative Filtering for Personalized Retrieval-Augmented Generation

arXiv:2605.18769v1 Announce Type: cross Abstract: Personalized Retrieval-Augmented Generation (RAG) relies on accurately selecting user-relevant documents. In practice, existing

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11 May

CASCADE: Case-Based Continual Adaptation for Large Language Models During Deployment

arXiv:2605.06702v1 Announce Type: new Abstract: Large language models (LLMs) have become a central foundation of modern artificial intelligence, yet their lifecycle remains

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25 Mar

Optimizing Small Language Models for NL2SQL via Chain-of-Thought Fine-Tuning

arXiv:2603.22942v1 Announce Type: new Abstract: Translating Natural Language to SQL (NL2SQL) remains a critical bottleneck for democratization of data in enterprises. Although

REPORT · HOW · ArXiv CS.AIOPEN STORY

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