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cs.CV2026
HIME: Mitigating Object Hallucinations in LVLMs via Hallucination Insensitivity Model Editing
Ahmed Akl, Abdelwahed Khamis, Ali Cheraghian +3
Large Vision-Language Models (LVLMs) have demonstrated impressive multimodal understanding capabilities, yet they remain prone to object hallucination, where models describe non-ex…
cs.GT2026
Bridging the Gap Between Estimated and True Regret Towards Reliable Regret Estimation in Deep Learning based Mechanism Design
Shuyuan You, Zhiqiang Zhuang, Kewen Wang +1
Recent advances, such as RegretNet, ALGnet, RegretFormer and CITransNet, use deep learning to approximate optimal multi item auctions by relaxing incentive compatibility (IC) and m…