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#machine learning Preprint Sep 2026

CoDR: Training-Free Confidence-Drift Remasking for Diffusion Language Models

Masked diffusion language models (MDLMs) decode by repeatedly committing tokens to masked positions, but these commitments are usually irreversible. A token chosen under sparse, partial context is kept fixed, even when later context no longer supports it. Existing samplers mainly decide when to commit a token, but rare...

Yue Wu, Qing-He Zhang, Yu Zhang et al. · 0 citations
#artificial intelligence Preprint Sep 2026

DualCast: A Dual-Path Language Model for Bimodal Financial Time-Series Forecasting

Financial time-series forecasting must capture price dynamics across heterogeneous assets while incorporating news available at prediction time. We introduce DualCast, a dual-path framework that extends a frozen language model with a discrete financial vocabulary. Each log-return patch is represented by a learned summa...

Wen-Tao Zhao, Hong-Qiang Wu, Shang-Hang Liu et al. · 0 citations

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