AutoIndexer trains causal models on chains of edits to enable flexible-order decoding
Read the original at arxiv.org→arXiv:2610.12545v1 Announce Type: new Abstract: Autoregressive decoding is less suited to non-causally ordered data, e.g., cross-references or future dependencies, since their outputs cannot be revised post hoc,...
Original headline: "AutoIndexer: Flexible-Order Decoding by Training Causal Models on Chains of Edits"
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- Oct 12, 04:00 UTC arXiv cs.CL lead source AutoIndexer: Flexible-Order Decoding by Training Causal Models on Chains of Edits