AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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Summary-token architectures such as Kwai Summary Attention (KSA) compress distant context into learnable Summary token per chunk, and hybrid variants interleave these layers with full attention to retain exact access to the original text. In such hybrid KSA-Full architecture, the interleaving inserted summary tokens ar...
In this paper, we propose a joint source-channel coding (JSCC) framework with a learnable codebook quantizer (LCQ), termed JSCC-LCQ, for channel state information (CSI) feedback in frequency division duplex orthogonal frequency division multiplexing (FDD-OFDM) systems. Different from conventional codeword lookup or ind...
DuplexCadence is proposed, which explicitly declares native clocks to the runtime and derives two mutually enabling rules: demand-sized state allocation at a stable address, and exact-shape graph replay without padding, which eliminates idle memory and stabilizes tensor pointers.
G-SalAlignMamba is proposed, a geometry-aware framework tailored for dual-modal SOD that introduces Geometry-Aware Encoding with explicit alignment to correct spatial shifts, Semantics-Informed Refinement to prevent signal dilution by prioritizing foregrounds, and Structure-Preserving Decoding that integrates explicit...
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