Papers with downstream verification

2 papers
Distill and Align Decomposition for Enhanced Claim Verification (2026.findings-eacl)

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Challenge: Existing methods for complex claim verification struggle to align decomposition quality with verification performance.
Approach: They propose a reinforcement learning approach that optimizes decomposition quality and verifier alignment using Group Relative Policy Optimization.
Outcome: The proposed method outperforms prompt-based approaches and existing methods in six evaluation settings.
Decomposition Dilemmas: Does Claim Decomposition Boost or Burden Fact-Checking Performance? (2025.naacl-long)

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Challenge: Fact-checking pipelines adopt the Decompose-Then-Verify paradigm, where texts are broken down into smaller claims for individual verification and subsequently combined for a veracity decision.
Approach: They propose to categorize decomposition errors and to reveal a trade-off between accuracy gains and noise introduced by decomposing.
Outcome: The proposed analysis provides new insights into understanding current system’s instability and offers guidance for future studies toward improving claim decomposition in fact-checking pipelines.

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