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We present Hunyuan-A13B, an open-source large language model based on a Mixture-of-Experts architecture. It contains 80 billion total parameters but activates only 13 billion during inference, balancing model capability, computational efficiency, and deployment cost. The model is pretrained on a rigorously filtered 20T...
A Similarity-based Generative Network (SGN) is proposed, a reusable framework that is trained once on labeled source data and applied to new target domains without parameter updates, demonstrating the effectiveness of SGN for target-guided data augmentation under source-to-target distribution shifts.
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