TraceLock learns a reusable token-commitment policy for diffusion LLMs via self-supervision on future stability, improving quality-step tradeoffs and generalizing across generation lengths without retraining.
L2P-Hidden keeps the blockwise token-filter interface of Learn2PD, but replaces confidence-only inputs with concatenated hidden-state features
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CL 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
The Path Matters: Learning a Token-Commitment Policy for Diffusion Language Models
TraceLock learns a reusable token-commitment policy for diffusion LLMs via self-supervision on future stability, improving quality-step tradeoffs and generalizing across generation lengths without retraining.