Yuan Gao
3 indexed papers
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This paper proposes four guidelines and two novel data ordering methods (STR and SAW) to systematically optimize data organization, significantly enhancing the stability and performance of LLM training.
The paper introduces WaspMOT, a new benchmark for long-term multi-object tracking, and evaluates five tracking-by-detection methods.
The paper introduces Label-Augmented Conditional Diffusion (LACD), a method for learning complex conditional distributions using unlabeled data, and provides theoretical guarantees for its effectiveness.
Papers
Semi-Supervised Conditional Diffusion via Label Augmentation
The paper introduces Label-Augmented Conditional Diffusion (LACD), a method for learning complex conditional distributions using unlabeled data, and provides theoretical guarantees for its effectivene…