Chain-based Adaptive Reconfiguration Over Lattices for Hallucination Reduction

In three linesCAROL is a probabilistic framework for test-time hallucination reduction in LLMs. It defines semantic uncertainty based on consistency between generated responses and trusted context, formulating mitigation as a Markov chain accept-reject process with convergence guarantees. Results on QA and multi-agent reasoning benchmarks show significant hallucination reduction.

Summary generated by Claude — human-verified