AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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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...
This work introduces Coarse-to-fine Error-aware Dynamic Attention Routing (CEDAR), a coarse-to-fine method that keeps the language model frozen while preserving global coverage and derives an output-error bound governed by within-chunk key/value dispersion and uses it to allocate a variable refinement budget.
This work presents Collaborative Reasoner, a framework to evaluate and improve the collaborative reasoning abilities of language models, and proposes a self-play method to generate synthetic multi-turn preference data and further train the language models to be better collaborators.
HUG-VIS, a unified benchmark for Human-centered Understanding and Generation in Visual Intelligence, contains 8,400 seated half-body videos of 30 professional actors, each performing the same 280 emotion-action-prompt assignments under a controlled Mandarin studio protocol, with synchronized video, audio, text, and alp...
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