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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...
Although temporal event graph predictors can infer future relational events from historical sequences, their scores provide limited evidence about which historical events support a particular output. We propose TAP-LLM, an executable attribution framework for temporal event graph prediction. Rather than treating explan...
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