arXiv (All)
open access
Read the Route: Attention-Steered Hypergraph Retrieval for Multi-hop RAG
Graph-based retrieval-augmented generation (GraphRAG) answers multi-hop questions by organizing a corpus into a graph and retrieving along its structure. Existing retrieval methods face two limitations. Diffusion- and similarity-based methods expand retrieval along fixed edge weights or by similarit
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Verifiable Retrieval for Legal Reasoning through Structure-driven Knowledge Graph#1298191
- Techniques for reliable and efficient evaluation of information retrieval systems on large-scale corpora#261534
- VO: The Vaccine Ontology#118866
- GRAIL:Learning to Interact with Large Knowledge Graphs for Retrieval Augmented Reasoning#155631
- RANGER: Retrieval Agent for Navigating Graphs with Semantic Evaluation Rewards#1411985
Record · ID 1458882
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive