Multimodal LLM Hallucination-Correction Research

Omni-Woodpecker proposes a training-free representation-level method for reducing audio-visual LLM hallucinations through evidence-prior rebalancing. The paper reports gains on several benchmarks and transfer to VideoLLaMA2-AV, with public code available; ablations and independent replication are needed before treating the results as robust.