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Streaming VLMs can now internalize long-term history as evolving LoRA weights, bypassing context window limitations and achieving superior performance on video understanding tasks.
D DianShi-RxnDB is presented, a large-scale, fine-grained organic reaction data platform built via a fully automated extraction and normalization pipeline integrating patent text, images, and reaction schemes integrating patent text, images, and reaction schemes.
Cleaner speech datasets may boost in-domain performance but can undermine generalization, revealing a hidden cost in Alzheimer's detection models.
A training-free multi-agent system for UAV image understanding not only surpasses leading models in accuracy but also addresses fundamental reasoning failures in MLLM applications.
DRIFT transforms the generative modeling landscape by simplifying the optimization of continuous outputs, leading to superior performance in both perception and robotic control tasks.