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The DeepSeek-V4.1-Flash model, a multimodal Mixture-of-Experts model with 552B backbone parameters and support for contexts of up to one million tokens, is introduced, substantially improving cost efficiency for agentic workloads and pushing the limits of KV cache compression.
CircleMatch is presented, a matching framework enabling KWS with very few parameters, which suggests approximate shift equivariance of prototype responses and adaptation to temporal compression.