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candidate-aware decoding 1diffusion language models 1early exit decoding 1speedup 1zero-shot evaluation 1

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20242026
most citedNTIRE 2024 Challenge on Image Super-Resolution (x4): Methods and Results

54 citations · 56 across the 13 of their papers we have counts for

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cs.CL2026

Commit Locally, Exit Globally: Coordinating Adaptive Sampling and Early Exit in Diffusion Language Models

Chia-Ming Lee, Ming-Ching Chang, Shao-Kai Liu +3

The paper introduces LATCH, a training‑free, candidate‑aware early‑exit framework for diffusion language models that decides when to stop generation and where to accelerate decodin…