Diffusion Language Models

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Autoregressive ModelAutoregressive Language ModelsNext-Token PredictionMasked Diffusion Language ModelsAutoregressive Generation

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Period ending 2026-09-21

13 new papers

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Period ending 2026-09-14

4 new papers

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Period ending 2026-09-07

7 new papers

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268 papers

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  1. Neuromorphic Diffusion Language Models: Addressing Compute and Memory Bottlenecks via Sparsity and Block Denoising

    Jul 24, 2026Dengyu Wu, Clement Ruah, Jiechen Chen +2Diffusion Language ModelsLLM Inference Efficiency

  2. Multi-Mask Diffusion Language Models for Few-Step Generation

    Jul 22, 2026Sijin Chen, Yinuo Ren, Heyang Zhao +3Masked Diffusion Language ModelsDiffusion Language Models

  3. Speculative Correction: Draft-then-Refine Decoding for Diffusion Language Models

    Jul 21, 2026Brian K Chen, Chong Wu, Kenji KawaguchiDiffusion Language ModelsSpeculative Decoding

  4. AdaFlash: Adaptive Speculative Decoding via On-Policy Distilled Diffusion Drafters

    Jul 21, 2026Yu-Yang Qian, Hao-Cong Wu, Chen Chen +4Speculative DecodingDiffusion Language Models

  5. ST-Veto: Spatio-Temporal Token Veto for Diffusion MLLMs via Taylor Prediction and Visual Grounding

    Jul 20, 2026Keuntae Kim, Beomseok Lee, Hyunwoo Kim +1Diffusion Language ModelsLatent Reasoning Tokens

  6. FlowBlock: Wavefront-Parallel Decoding for Self-Correcting Diffusion Language Models

    Jul 20, 2026Bing Tian, Haikun Liu, Xiaocheng Zhong +5Diffusion Language ModelsParallel

  7. Trace-Based On-Policy Distillation for Masked Diffusion Language Models

    Jul 18, 2026Haolin Ren, Ziyang Huang, Chenhao Yuan +2Diffusion Language ModelsMasked Diffusion Language Models

  8. Induction in Both Directions: A Mechanistic Analysis of In-Context Learning in Masked Diffusion Language Models

    Jul 17, 2026Andy Catruna, Emilian RadoiDiffusion Language ModelsMasked Diffusion Language Models

  9. Adaptive Multi-Step Lookahead Decoding for Diffusion Language Models

    Jul 17, 2026Yingqian Cui, Wei Deng, Lantao Mei +4Diffusion Language ModelsMasked Diffusion Language Models

  10. Seeing the End at Step Zero: Accelerating Diffusion MLLMs via MLP Sparsity-Aware Truncation

    Jul 16, 2026Qicheng Zhao, Qi Sun, Zheyu YanDiffusion Language ModelsLLM Inference Efficiency

  11. Audio-Native Speech Recognition with a Frozen Discrete-Diffusion Language Model

    Jul 14, 2026Harsha Vardhan Khurdula, Abhinav Kumar Singh, Yoeven D Khemlani +1Speech EncoderLibrispeech

  12. Constrained Decoding for Diffusion Language Models via Efficient Inference over Finite Automata

    Jul 8, 2026Meihua Dang, Stefano ErmonDiffusion Language ModelsEfficient Inference

  13. Don't Commit Alone: Joint Token Commitment in Diffusion Large Language Models

    Jul 5, 2026Lin YaoDiffusion Language ModelsCommits

  14. dOPSD: On-Policy Self-Distillation for Diffusion Language Models

    Jul 5, 2026Phuong Tuan Dat, Qi Li, Xinchao WangUnsupervised On-Policy Self-DistillationDiffusion Language Models

  15. Sangam: Efficiently Serving Diffusion LLMs with the AR Stack

    Jul 5, 2026Nitin Kedia, Saurabh Agarwal, Myungjin Lee +1Large Language Model ServingDiffusion Language Models

  16. DELTA-TTS: Adapting Autoregressive Model into Diffusion Language Model for Text-to-Speech

    Jul 5, 2026Junwon Moon, Seungbeom Kim, Yejin Lee +4Zero-Shot Text-To-SpeechAutoregressive Language Models

  17. TACG: Trajectory-Aware Commit Gating for Diffusion Language Model Decoding

    Jul 3, 2026Chengcheng Wang, Tingzhang Luo, Wenhao Li +2Diffusion Language ModelsLarge Language Model Decoder

  18. Training Hybrid Block Diffusion Language Models with Partial Bidirectionality

    Jul 2, 2026Pranshu Chaturvedi, Parth Shroff, Tarun Suresh +2Diffusion Language ModelsEfficient Long-Context Inference

  19. Set Diffusion: Interpolating Token Orderings Between Autoregression and Diffusion for Fast and Flexible Decoding

    Jul 2, 2026Marianne Arriola, Volodymyr KuleshovDiffusion Language ModelsDiscrete Diffusion Model

  20. Subliminal Clocks: Latent Time Modelling in Diffusion Language Models

    Jul 2, 2026Maximo Rulli, Thomas Fontanari, Simone Petruzzi +9Diffusion Language ModelsTimestep

  21. Discrete Diffusion Language Models for Interactive Radiology Report Drafting

    Jul 1, 2026Max Van Puyvelde, Halil Ibrahim Gulluk, Wim Van Criekinge +1Radiology Report GenerationDiffusion Language Models

  22. Diffusion-GR2: Diffusion Generative Reasoning Re-ranker

    Jul 1, 2026Zhuoxuan Zhang, Kangqi Ni, Yuhang Chen +12RerankingDiffusion Language Models

  23. Self-conditioned Flow Map Language Models via Fixed-point Flows

    Jul 1, 2026Jaehoon Yoo, Wonjung Kim, Floor Eijkelboom +4Generative Flow NetworksDiffusion Language Models

  24. Low Perplexity is Repetition: A One-Dimensional Self-Conditioning Attractor in Continuous Diffusion LMs

    Jul 1, 2026Shuai Zhang, Zijie Chen, Hongliang He +2Diffusion Language ModelsLanguage Model Perplexity

  25. SLIM-RL: Risk-Budgeted Random-Masking RL for Diffusion LLMs Without Trajectory Slicing

    Jun 30, 2026Ruikang Zhao, Zhenting Wang, Han Gao +1Diffusion Language ModelsTraining-Inference Mismatch

  26. TAG-DLM: Diffusion Language Models for Text-Attributed Graph Learning

    Jun 30, 2026Lingjie Chen, Yuanchen Bei, Haobo Xu +3Text-Attributed GraphGraph Language Models

  27. Adaptive Block Diffusion: Resolving Training-Inference Mismatch in Diffusion Language Models

    Jun 28, 2026Gagan JainDiffusion Language ModelsTraining-Inference Mismatch

  28. Understanding Evaluation Illusion in Diffusion Large Language Models

    Jun 28, 2026Hengxiang Zhang, Jiaxi Ren, Renchunzi Xie +1Diffusion Language ModelsParallel

  29. Multi-Block Diffusion Language Models

    Jun 28, 2026Yijie Jin, Jiajun Xu, Yuxuan Liu +8Diffusion Language ModelsFew-Step Generation

  30. DiLaServe: High SLO Attainment Serving for Diffusion Language Models

    Jun 27, 2026Tzu-Tao Chang, Benjamin Yuanyang Hong, Kiet Pham +1Large Language Model ServingThroughput

  31. Bifocal Diffusion Language Models: Asymmetric Bidirectional Context for Parallel Generation

    Jun 26, 2026Yuhang Chen, Xianfeng Wu, Jinhao Duan +11Diffusion Language ModelsLLM Inference Efficiency

  32. Speculative Refinement: A Hybrid Autoregressive Diffusion Decoding Strategy and Its Behavior Across Benchmarks

    Jun 25, 2026Aditi Gupta, Neel Mishra, Kushagra Trivedi +1Autoregressive DiffusionDiffusion Language Models

  33. Nemotron-Labs-TwoTower: Diffusion Language Modeling with Pretrained Autoregressive Context

    Jun 25, 2026Fitsum Reda, John Kamalu, Roger Waleffe +3Diffusion Language ModelsAutoregressive Diffusion

  34. Improved Large Language Diffusion Models

    Jun 24, 2026Shen Nie, Qiyang Min, Shaoxuan Xu +7Diffusion Language ModelsImprovement

  35. Posterior Refinement: Fast Language Generation via Any-Order Flow Maps

    Jun 23, 2026Manan Agarwal, Sheel Shah, Chanhyuk Lee +6Diffusion Language ModelsMasked Diffusion Language Models

  36. Accelerating Disaggregated RL for Visual Generative LLMs with Diffusion-Based Parallelism and Trainer-Assisted Generation

    Jun 23, 2026Sijie Wang, Zhengyu Qing, Zhiqiang Tan +6Diffusion Language ModelsWorkflow Generation

  37. When Top-1 Fails: Calibrating LoRA Monitors for Masked Diffusion LMs

    Jun 23, 2026Lucky Verma, Pratik YadavDiffusion Language ModelsMasked Diffusion Language Models

  38. Scheduling Thoughts: Learning the Order of Thought in Diffusion Language Models

    Jun 22, 2026Jiawei Xu, Minghui Liu, Aakriti Agrawal +2Diffusion Language ModelsMasked Diffusion Language Models

  39. Distribution-Aware Diffusion-LLM for Robust Ultra-Long-Term Time Series Forecasting

    Jun 22, 2026Falguni Ghosh, Vahid Hashemi, Bernhard KainzDiffusion Language ModelsEfficient Long-Context Inference

  40. Understanding Parallel Samplers in Masked Diffusion via Random Walks on Graphs

    Jun 22, 2026Vansh Bansal, Cho Cholyeon, Syamantak Kumar +2Masked Diffusion Language ModelsDiffusion Sampling

  41. When to Plan, When to Polish: Noise Level as a Granularity Axis for Diffusion Language Models

    Jun 19, 2026Peihong Li, Yuanjie Shi, Yan YanDiffusion Language ModelsDiscrete Diffusion Model

  42. HERALD: High-Throughput Block Diffusion LLM Serving via CPU-GPU Cooperative KV Cache Retrieval

    Jun 19, 2026Omin Kwon, Doyeon Kim, Jongseok Park +3LLM Inference EfficiencyGraphics Processing Unit Memory

  43. PerceptionDLM: Parallel Region Perception with Multimodal Diffusion Language Models

    Jun 17, 2026Yueyi Sun, Yuhao Wang, Jason Li +8Diffusion Language ModelsVisual Perception

  44. Diffusion Language Models: An Experimental Analysis

    Jun 17, 2026Thomas Bertolani, Davide Bucciarelli, Leonardo Zini +2Diffusion Language ModelsAutoregressive Generation

  45. Diffusion-Proof: Recipe for Formal Theorem Proving Beyond Auto-Regressive Generation

    Jun 17, 2026Ruida Wang, Rui Pan, Pengcheng Wang +2TheoremMathematical Reasoning

  46. DreamReasoner-8B: Block-Size Curriculum Learning for Diffusion Reasoning Models

    Jun 17, 2026Zirui Wu, Lin Zheng, Jiacheng Ye +5Diffusion Language ModelsDiscrete Diffusion Model

  47. Sumi: Open Uniform Diffusion Language Model from Scratch

    Jun 17, 2026Mengyu Ye, Keito Kudo, Wataru Ikeda +3Diffusion Language ModelsAutoregressive Model

  48. Learning from the Self-future: On-policy Self-distillation for dLLMs

    Jun 16, 2026Yifu Luo, Zeyu Chen, Haoyu Wang +4Unsupervised On-Policy Self-DistillationOn-Policy Distillation

  49. Self-Generated Error Training for Token Editing in Diffusion Language Models

    Jun 15, 2026Lin YaoDiffusion Language ModelsMultimodal Knowledge Editing

  50. LESS Is More: Mutual-Stability Sampling for Diffusion Language Models

    Jun 15, 2026Amr Mohamed, Guokan Shang, Michalis VazirgiannisDiffusion Language ModelsAdaptive Sampling

  51. Follow the Latent Roadmap: Navigating Revocable Decoding for Diffusion LLMs with Anchor Tokens

    Jun 15, 2026Yizhen Yao, Qinglin Zhu, Runcong Zhao +4Diffusion Language ModelsRoadmap

  52. Mean-Field Parallel Decoding for Discrete Diffusion Language Models

    Jun 14, 2026Tamim Zoabi, Ameen Ali, Liran Ringel +1Diffusion Language ModelsParallel

  53. Semantic DLM+: Improving Diffusion Language Models through Bias-variance Trade-off in Transition Kernel Design

    Jun 13, 2026Keyue Jiang, Yuxiang Wang, Yanan Zhao +7Diffusion Language ModelsTraining-Inference Mismatch

  54. Neither Parallel Nor Sequential: How DiffusionGemma Actually Commits Tokens

    Jun 12, 2026Ali Asaria, Tony Salomone, Deep GandhiDiffusion Language ModelsParallel

  55. DiPOD: Diffusion Policy Optimization without Drifting Apart

    Jun 11, 2026Haozhe Jiang, Haiwen Feng, Pieter Abbeel +3Diffusion PoliciesDiffusion Language Models

  56. Accelerating Speculative Diffusions via Block Verification

    Jun 11, 2026Alexander Soen, Hisham Husain, Valentin De Bortoli +1Diffusion Language ModelsSpeculative Decoding

  57. Beyond Fully Random Masking: Attention-Guided Denoising and Optimization for Diffusion Language Models

    Jun 10, 2026Jia Deng, Junyi Li, Wayne Xin Zhao +3Diffusion Language ModelsImage Denoising

  58. Re-evaluating Confidence Remasking in Masked Diffusion Language Models

    Jun 10, 2026Stipe Frkovic, Metod Jazbec, Dan Zhang +3Masked Diffusion Language ModelsDiffusion Language Models

  59. Teaching Diffusion to Speculate Left-to-Right

    Jun 10, 2026Lexington Whalen, Yuki Ito, Ryo SakamotoSpeculative DecodingDiffusion Language Models

  60. Attention-Discounted Adaptive Sampler for Masked Diffusion Language Models

    Jun 9, 2026Yusuf Sahin, Ahmed Rockey Saikia, Volkan Cevher +1Masked Diffusion Language ModelsDiffusion Language Models