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FullAttn often assigns negligible normalized mass to much of the causal score space, yet dense kernels execute the complete post-score path after forming each QK tile. We introduce MALA, a fused attention primitive that preserves score access to every legal causal interaction and uses normalized contribution to allocat...
CoWA, a structured attention architecture that distributes access to the causal history across KV heads, shows that full causal coverage can be a collective property of the head ensemble rather than a duplicated property of every head.
DataSpace, a benchmark in which data agents produce verifiable tabular results from task-local heterogeneous workspaces, is introduced and key challenges for improving data-agent reliability are identified.
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