Dynamic computation in Looped LMs requires per-iteration KV-cache; Ouro models’ early-exit policy yields static depth, limiting practical dynamic computation
Read the original at arxiv.org→arXiv:2610.09013v1 Announce Type: new Abstract: Looped LMs are parameter efficient and promise dynamic computation (saving memory and FLOPs on easy tokens). However, state-of-the-art open Looped LMs trained with...
Original headline: "Enabling Dynamic Computation in Looped LMs"
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- Oct 8, 04:00 UTC arXiv cs.AI lead source Enabling Dynamic Computation in Looped LMs