most citedPM-MOE: Mixture of Experts on Private Model Parameters for Personalized Federated Learning

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cs.CL2026

OmniConfess: Eliciting Token Confessions to Mitigate Omni-Modal Hallucination

Huiqiang Rong, Haoran Luo, Hui Feng +4

Omni-modal large language models (OmniLLMs) unify text, images, audio, and video, yet hallucinate when generation relies on the wrong evidence. Existing inference-time methods can…