Ant Insurance and Zhejiang University’s AAAI 2025 Papers Tackle Hallucination in Large Vision‑Language and Video Models
Two collaborative papers by Ant Insurance and Zhejiang University were accepted at AAAI 2025, introducing the MoLE decoding framework to reduce hallucination in large vision‑language models and the MHBench benchmark plus Motion Contrastive Decoding to address motion hallucination in video large language models, advancing reliable AI‑driven insurance claim processing.