arXiv Computation and Language
Oct 22

Conflicted Records: Typed Adversarial Contracts for Auditable LLM Output Quality Enforcement

The paper introduces BiasGuard‑D, a system that uses two adversarial language‑model agents from different families to exchange typed claim documents, with a third model quorum voting to adjudicate. A combined referential‑plus‑semantic invariant validates the verdict, and the iterative deliberation layer shifts remediation from stereotypes to hallucinations, improving right‑answer recovery by 49 percentage points on HaluEval QA. All claims, votes, and instructions are stored as typed records, providing an auditable provenance trail for operators under emerging AI regulations.

By Kardelen Subasi, Jaros{\l}aw A. Chudziak