arxiv
PublishedSeptember 1, 2026 at 4:00 AM
Learning What Matters: Supervising Global Context Pruning with Causal Evidence Sets
Publisher summary· verbatim
arXiv:2607.21692v4 Announce Type: replace-cross Abstract: Pruning a long context means committing to the blocks a model will keep, and the usual selector is distilled from a dense teacher's attention. That assumes attention shows which context the answer depends on. We test the assumption on retriev
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Originally published on arxiv ↗