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DARE: Dialectical Agentic Reasoning for Structured Knowledge Fact Checking
A new arXiv paper introduces DARE, a method for verifying natural language claims by reasoning over structured evidence such as knowledge graphs. It builds on program-generation approaches in which large language models produce executable graph reasoning routines, adding a dialectical agentic layer to improve verification. The work targets fact checking tasks where evidence is organized in structured form rather than plain text.