R2VC: Modular Fact-Checking with Retrieval, Verification, and Confidence Calibration

Not provided in the abstract

fact-checkingretrievalconfidence calibrationmodular architecture

2609.11955

Builder Relevance

80%

1h ago

Abstract

R2VC presents a modular architecture for evidence-grounded fact checking that improves accuracy and confidence reliability.

Reality Card

Core Claim

R2VC achieves 13.74% higher accuracy on the FEVER dataset compared to baseline models by utilizing a modular approach for evidence retrieval, reasoning, and confidence calibration.

Method / Result

An 8B backbone with R2VC achieves 13.74% higher accuracy than baseline.

Limitations

Retrieval failures, particularly wrong-entity evidence, remain a significant bottleneck.

Paper to code

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