Understanding Sparse Attention Selectivity in Long-Context Foundation Models via Counterfactual Evaluation
Read the original on arXiv Machine Learning →arXiv:2608. 01676v1 Announce Type: cross Abstract: Sparse attention is widely deployed in long-context serving stacks, yet no framework audits how discarding blocks changes the influence of specific content on model output.
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