catastrophic forgetting 1continual learning 1diffusion models 1federated learning 1graph neural networks 1memory preservation 1multimodal language models 1multimodal learning 1multi-reference video editing 1reference tokens 1structured instructions 1
From the 2 of 16 linked papers with an AI index.
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cs.MM2026
OmniHalluc-L: Counterfactual Benchmarking and Modality-Perturbation Reliability Calibration for Long-Form Omni Hallucination
Zixuan Dong, Jiafu Tang, Zhide Lei +7
Long-video Omni assistants often fail not by inventing content, but by misbinding real evidence: they hear the right utterance and see the right event, yet attach it to the wrong s…
cs.MM2026
LungCURE: Benchmarking Multimodal Real-World Clinical Reasoning for Precision Lung Cancer Diagnosis and Treatment
Fangyu Hao, Jiayu Yang, Yifan Zhu +14
Lung cancer clinical decision support demands precise reasoning across complex, multi-stage oncological workflows. Existing multimodal large language models (MLLMs) fail to handle…