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TALON: Confidence-Aware Speculative Decoding with Adaptive Token Trees
TALON is a training-free adaptive tree expansion framework for speculative decoding that allocates draft token budgets across layers to construct context-dependent deep-and-narrow or shallow-and-wide trees, achieving up to 5.16x speedup over autoregressive decoding.
Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026
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AI panel: 12 of 20 reviewers recommend it
lenient 4/5
medium 7/10
strict 1/5