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University of Macau
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Small language models can achieve near state-of-the-art Text-to-SQL performance with just a fraction of the computational resources required by large models.
Ditch the slow per-scene optimization: SwiftGS meta-learns transferable priors for satellite surface reconstruction, enabling single-pass 3D recovery.
Achieve robust multimodal sentiment analysis, even with noisy or incomplete data, by explicitly modeling hierarchical relationships in hyperbolic space.
Make your multimodal models immune to missing modalities with a training framework that selectively collapses modality information, boosting robustness without sacrificing performance.