In Agentic GraphRAG, cited evidence is necessary but not sufficient for accurate answers, as uncited traversal context and graph structure also affect results, requiring evaluation of the full retrieval trajectory.
Evaluating large language models for accuracy incentivizes hallucinations
2 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
years
2026 2verdicts
UNVERDICTED 2representative citing papers
The paper introduces a crowdsourcing system with differential trustworthiness, coherence pre-filling, and time-dependent opinion mechanisms for validating LLM-generated ontology matches.
citing papers explorer
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Why Neighborhoods Matter: Traversal Context and Provenance in Agentic GraphRAG
In Agentic GraphRAG, cited evidence is necessary but not sufficient for accurate answers, as uncited traversal context and graph structure also affect results, requiring evaluation of the full retrieval trajectory.
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Unlocking Crowdsourcing for Ontology Matching Validation
The paper introduces a crowdsourcing system with differential trustworthiness, coherence pre-filling, and time-dependent opinion mechanisms for validating LLM-generated ontology matches.