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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...
PosterVisor is introduced, a control framework that shifts poster generation from transient prompts to persistent control and supports rubric-compiled contracts and stage-conditioned enforcement for controllable poster synthesis.
DuMateBench, a real-session benchmark reconstructed from anonymized and privacy-screened user sessions collected from a large-scale production agent platform, is introduced, showing that performance under environmental perturbations is jointly shaped by the capabilities of the LLM and the surrounding agent framework.
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