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ECHO: Early-layer Collaborative Hierarchical Orchestration with Bonus Logits in Speculative Decoding

Paper recorded by Signals 4 on 2026-09-15 in cs.CL. Abstract reproduced from arXiv; link to the original below.

Published 2026-09-15 on arXiv · recorded by Signals 4 on 2026-09-16

Category: cs.CL · 自然语言处理 · first seen 2026-09-16

Abstract

While draft-model-free speculative decoding offers a promising path to efficient LLM inference, it is frequently constrained by stale draft candidates and the high computational cost of the verification. To address these challenges, we propose ECHO, a hierarchical dual-loop framework that exploits the functional asymmetry between LLM layers. Leveraging the high discriminative efficiency of early l

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#35 most recent of 186 cs.CL papers we have recorded · ↑ newer: Persistent Recurrent Memory Between Transformer Layers - Improves Lang · ↓ older: AraMIP: Extending MIPVU Towards Metaphor Identification in Arabic
Cite this page: ECHO: Early-layer Collaborative Hierarchical Orchestration with Bonus Logits in Speculative Decoding: the #35 most recent of 186 cs.CL papers we have recorded (as of 2026-09-15). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/echo-early-layer-collaborative-hierarchical-orchestration-with-bonus-logits-in-s.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json
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