arXiv 2610.02193 · cs.CL · 2026-10-01
Hierarchical Continuous Diffusion Language Models
Hui Ren, Zihan Li, Chang Liu, Huidong Liu, Alexander Schwing
University of Illinois at Urbana-Champaign
在最新榜 #122 本站收录于 2026-10-21
一句话要点
分层连续扩散语言模型在连续状态去噪的同时约束到合法 token,改善并行解码的一致性。
Hierarchical continuous diffusion LMs tie the denoised continuous state to valid tokens, improving coherence of parallel decoding.
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主题与学科
同主题:大语言模型
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- OmniEdu: Open Foundation Models for Learning and Teaching ▲240
- PAR: Progress-Aligned Recurrence for Length Generalization in State Tracking ▲148
- MemT-1.0: Towards Memory-Native Evolution ▲119
数据说明
元数据来自 arXiv API(已核实);点赞来自 Hugging Face 每日论文;引用来自 Semantic Scholar。最近刷新 2026-10-22。
要点由本站根据摘要自写,不转载摘要原文,请阅读原文。