Rules amortize, pairings don't: linguistic structure determines which latent task representations can replace in-context learning
Read the original at arxiv.org→arXiv:2610.00526v1 Announce Type: new Abstract: In-context learning (ICL) can be amortized into latent objects (task vectors, function vectors, context vectors) that recover few-shot behavior at zero-shot inference...
Original headline: "Rules Amortize, Pairings Don't: Linguistic Structure Determines What Latent Task Representations Can Replace In-Context Learning"
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- Oct 2, 04:00 UTC arXiv cs.CL lead source Rules Amortize, Pairings Don't: Linguistic Structure Determines What Latent Task Representations Can Replace In-Context Learning