DebateCV uses opposing debater agents and a trained moderator agent to verify complex claims via debate, outperforming single-agent baselines in accuracy and justification quality.
All post-trained methods leverage LoRA (Hu et al., 2021), a parameter-efficient tech- nique that minimizes computational overhead
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Debating Truth: Debate-driven Claim Verification with Multiple Large Language Model Agents
DebateCV uses opposing debater agents and a trained moderator agent to verify complex claims via debate, outperforming single-agent baselines in accuracy and justification quality.