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Found 2 papers, 1 papers with code
TidalDecode: Fast and Accurate LLM Decoding with Position Persistent Sparse Attention
Existing sparse attention mechanisms designed to address this bottleneck have two limitations: (1) they often fail to reliably identify the most relevant tokens for attention, and (2) they overlook the spatial coherence of token selection across consecutive Transformer layers, which can lead to performance degradation and substantial overhead in token selection.
Quarl: A Learning-Based Quantum Circuit Optimizer
Applying reinforcement learning (RL) to quantum circuit optimization raises two main challenges: the large and varying action space and the non-uniform state representation.
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