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By surgically removing "hallucination patterns" from a model's hidden state, HulluEdit offers a reference-free, single-pass method to dramatically reduce object hallucinations in LVLMs without sacrificing visual grounding.
NGDB-Zoo unlocks up to 6.8x faster training for Neural Graph Databases by decoupling logical operators and integrating semantic priors from pre-trained text encoders, all while maintaining high GPU utilization.