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LayerRoute: Input-Conditioned Adaptive Layer Skipping via LoRA Fine-Tuning for Agentic Language Models research paper by Accenture, 2026

Accenture · Jun 1, 2026 · Agents and evaluation · 1 citations · 2 upvotes · unverified 3 months ago

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What it shows

LayerRoute is a lightweight adapter that selectively skips transformer blocks during inference based on input type, achieving compute savings while maintaining or improving model quality through gated routing and LoRA adaptation.

UnverifiedHugging Face's summary; not yet checked by hand.

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About this paper
Authors
Prateek Kumar Sikdar
arXiv
2606.01838 · PDF
Venue
arXiv.org
Citations
1, 0 influential · Semantic Scholar
Upvotes
2 · Hugging Face
Code
github.com/hackie123/layerroute
Lab
Accenture · on Companies · on Acquisitions · on Quarterly · on Paydays

Changes

What changed
Influential citationsfirst count: 0Sep 28, 2026today
Citationsfirst count: 1Sep 28, 2026today
New paperFound by the weekly scan, unverifiedSep 28, 2026today

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