Search papers, labs, and topics across Lattice.
Beihang University, Hangzhou International Innovation Institute, Key Laboratory of Intelligent Transportation Technology and System (Ministry of Education), Harbin Institute of Technology, Peng Cheng Laboratory
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Global spatial information in traffic forecasting can be captured just as effectively with simpler methods, raising questions about the necessity of complex attention mechanisms.
DRIVE-CHOREO achieves unprecedented multi-view consistency and BEV mAP by choreographing latent tokens across diverse modalities in autonomous driving.
PRISM boosts performance in modality-deficient federated graph learning by intelligently retrieving and integrating missing modalities from the entire federation.
Forget catastrophic forgetting: HyLoVQA's hypernetwork-generated LoRA adapters dynamically adapt to new VQA tasks while preserving past knowledge, outperforming prior state-of-the-art methods.
Concept erasure in text-to-image models is mostly smoke and mirrors: a text-free attack can still regenerate "forgotten" concepts by exploiting the model's latent visual knowledge.
Achieve better video editing without retraining by dynamically locking background features based on a "hallucination metric" that detects when the diffusion model is about to go astray.
Multi-agent systems get a 6.3% accuracy boost on math problems thanks to a new "rectify-or-reject" pruning method that dynamically filters out bad information at test time.
