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Library of Layers (LoL): Adaptively Ordering Transformer Layers at Runtime

Paper recorded by Signals 4 on 2026-11-02 in cs.AI. Abstract reproduced from arXiv; link to the original below.

Published 2026-11-02 on arXiv · recorded by Signals 4 on 2026-11-03

Category: cs.AI · 人工智能 · first seen 2026-11-03

Abstract

Computer programmers chain together the same reusable computational primitives, for example, conditional statements or loops, but in different orders to implement different algorithms. In contrast, existing language model architectures always execute their layers in the same order. We introduce Library of Layers (LoL), an architecture that dynamically orders its layers during inference to solve th

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#39 most recent of 920 cs.AI papers we have recorded · ↑ newer: Contrastive Adapter Training and Consensus Knowledge Distillation for · ↓ older: Grading the Unannotated: Insights from the WorkRB Skill Extraction Cha
Cite this page: Library of Layers (LoL): Adaptively Ordering Transformer Layers at Runtime: the #39 most recent of 920 cs.AI papers we have recorded (as of 2026-11-02). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/library-of-layers-lol-adaptively-ordering-transformer-layers-at-runtime.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json
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