Author

Kilian Bänziger

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#machine learning Preprint Sep 2026

ConRAG: Lightweight inference of multi-hop relations

ConRAG is introduced, which builds a lightweight entity-document graph from entity co-occurrence and LLM-based entity filtering that consistently improves bridge entity and reasoning chain recovery over strong RAG baselines, while reducing graph-indexing token cost by up to roughly 1.5 orders of magnitude.

Kilian Bänziger, Sonia Laguna, Markus Kreft et al. · 0 citations