Autoregressive Model

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Period ending 2026-09-21

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  1. DPRM: A Plug-in Doob h transform-induced Token-Ordering Module for Diffusion Language Models

    Apr 27, 2026Dake Bu, Wei Huang, Andi Han +4Diffusion Language ModelsOrder Matters

  2. Factual and Edit-Sensitive Graph-to-Sequence Generation via Graph-Aware Adaptive Noising

    Apr 27, 2026Aditya Hemant Shahane, Anuj Kumar Sirohi, Tanmoy Chakraborty +2Diffusion Language ModelsGraph Language Models

  3. When to Commit? Towards Variable-Size Self-Contained Blocks for Discrete Diffusion Language Models

    Apr 27, 2026Danny Wang, Ruihong Qiu, Zi HuangDiffusion Language ModelsToken-Level Uncertainty

  4. Representational Curvature Modulates Behavioral Uncertainty in Large Language Models

    Apr 27, 2026Jack King, Evelina Fedorenko, Eghbal A. HosseiniLarge Language Model UncertaintyNext-Token Prediction

  5. Where to Place the Query? Unveiling and Mitigating Positional Bias in In-Context Learning for Diffusion LLMs via Decoding Dynamics

    Apr 26, 2026Zhengheng Li, Panrui Li, Xuyang Liu +1In-Context LearningDiffusion Language Models

  6. Measuring Temporal Linguistic Emergence in Diffusion Language Models

    Apr 25, 2026Harry LuDiffusion Language ModelsLarge Language Model Uncertainty

  7. Self Knowledge Re-expression: A Fully Local Method for Adapting LLMs to Tasks Using Intrinsic Knowledge

    Apr 24, 2026Mengyu Wang, Xiaoying Zhi, Zhiyi Li +4Large Language Model AdaptationNext-Token Prediction

  8. Explanation of Dynamic Physical Field Predictions using WassersteinGrad: Application to Autoregressive Weather Forecasting

    Apr 24, 2026Younes Essafouri, Laure Raynaud, Luciano Drozda +1Artificial Intelligence Weather ModelsNeural Fields

  9. Prefix Parsing is Just Parsing

    Apr 23, 2026Clemente Pasti, Andreas Opedal, Timothy J. O'Donnell +2Context-Free GrammarsNext-Token Prediction

  10. A Hybridizable Neural Time Integrator for Stable Autoregressive Forecasting

    Apr 22, 2026Brooks Kinch, Xiaozhe Hu, Yilong Huang +6Autoregressive TransformersLong-Horizon Forecasting

  11. X-Cache: Cross-Chunk Block Caching for Few-Step Autoregressive World Models Inference

    Apr 22, 2026Yixiao Zeng, Jianlei Zheng, Chaoda Zheng +10Autoregressive Video DiffusionCache

  12. Trajectory-Aware Reliability Modeling of Democratic Systems

    Apr 22, 2026Dmitry Zaytsev, Valentina Kuskova, Michael CoppedgeEarly Failure PredictionInstitutional Composition

  13. On the Quantization Robustness of Diffusion Language Models in Coding Benchmarks

    Apr 22, 2026Aarav Gupta, Gururaj Deshpande, Chandreyi ChakrabortyLarge Language Model QuantizationQuantization

  14. StarTSE: Towards Streaming Target Speaker Extraction via Chunk-wise Interleaved Splicing of Autoregressive Language Model

    Apr 21, 2026Shuhai Peng, Hui Lu, Jinjiang Liu +8Autoregressive Language ModelsAutoregressive Model

  15. OLLM: Options-based Large Language Models

    Apr 21, 2026Shashank Sharma, Janina Hoffmann, Vinay NamboodiriLarge Language Model ReasoningLarge Language Models(Llms

  16. R2R^2-dLLM: Accelerating Diffusion Large Language Models via Spatio-Temporal Redundancy Reduction

    Apr 21, 2026Zhenbang Du, Kejing Xia, Xinrui Zhong +6Diffusion Language ModelsLLM Inference Efficiency

  17. Handling and Interpreting Missing Modalities in Patient Clinical Trajectories via Autoregressive Sequence Modeling

    Apr 20, 2026Andrew Wang, Ellie Pavlick, Ritambhara SinghMultimodal Clinical DataMissing Modalities

  18. Discrete Tilt Matching

    Apr 20, 2026Yuyuan Chen, Shiyi Wang, Peter Potaptchik +2Masked Diffusion Language ModelsTraining-Inference Mismatch

  19. Transition-Matrix Regularization for Next Dialogue Act Prediction in Counselling Conversations

    Apr 20, 2026Eric Rudolph, Philipp Steigerwald, Jens AlbrechtNext-Token PredictionNext Activity Prediction

  20. NI Sampling: Accelerating Discrete Diffusion Sampling by Token Order Optimization

    Apr 20, 2026Enshu Liu, Xuefei Ning, Yu Wang +1Diffusion Language ModelsDiffusion Sampling

  21. OneDrive: Unified Multi-Paradigm Driving with Vision-Language-Action Models

    Apr 20, 2026Yiwei Zhang, Xuesong Chen, Jin Gao +5Autonomous Hard Drive DisassemblyVision-Language-Action Models

  22. FlowRefiner: Flow Matching-Based Iterative Refinement for 3D Turbulent Flow Simulation

    Apr 18, 2026Yilong Dai, Yiming Sun, Yiheng Chen +3TurbulenceIterative Refinement

  23. Stability-Weighted Decoding for Diffusion Language Models

    Apr 18, 2026Yue Wu, Jian HuangDiffusion Language ModelsToken Communications

  24. Extraction of informative statistical features in the problem of forecasting time series generated by It{ô}-type processes

    Apr 18, 2026Victor Korolev, Mikhail Ivanov, Tatiana Kukanova +4Time SeriesStochastic Differential Equations

  25. Reasoning on the Manifold: Bidirectional Consistency for Self-Verification in Diffusion Language Models

    Apr 17, 2026Jiaoyang Ruan, Xin Gao, Yinda Chen +5Diffusion Language ModelsLarge Language Model Reasoning

  26. DepCap: Adaptive Block-Wise Parallel Decoding for Efficient Diffusion LM Inference

    Apr 17, 2026Xiang Xia, Wuyang Zhang, Jiazheng Liu +2Diffusion Language ModelsParallel

  27. Reward Weighted Classifier-Free Guidance as Policy Improvement in Autoregressive Models

    Apr 16, 2026Alexander Peysakhovich, William BermanExternal Reward ModelsAutoregressive Model

  28. (1D) Ordered Tokens Enable Efficient Test-Time Search

    Apr 16, 2026Zhitong Gao, Parham Rezaei, Ali Cy +7Autoregressive GenerationGenerative Models

  29. The Illusion of Equivalence: Systematic FP16 Divergence in KV-Cached Autoregressive Inference

    Apr 16, 2026Ranjith Chodavarapu, Lei XuSystematic Fp16 DivergenceKey-Value Cache Quantization

  30. Towards Faster Language Model Inference Using Mixture-of-Experts Flow Matching

    Apr 16, 2026Aihua LiDiffusion Language ModelsLLM Inference Efficiency

  31. Hallucination as Trajectory Commitment: Causal Evidence for Asymmetric Attractor Dynamics in Transformer Generation

    Apr 16, 2026G. Aytug AkarlarHallucinationsAutoregressive Language Models

  32. MemoSight: Unifying Context Compression and Multi Token Prediction for Reasoning Acceleration

    Apr 16, 2026Xinyu Liu, Xin Liu, Bo Jin +8Reasoning BenchmarkChain-of-Thought Reasoning

  33. GenRec: A Preference-Oriented Generative Framework for Large-Scale Recommendation

    Apr 16, 2026Yanyan Zou, Junbo Qi, Lunsong Huang +7Large-Scale Recommendation SystemsRecommender Systems

  34. BARD: Bridging AutoRegressive and Diffusion Vision-Language Models Via Highly Efficient Progressive Block Merging and Stage-Wise Distillation

    Apr 15, 2026Baoyou Chen, Hanchen Xia, Peng Tu +5Autoregressive Model

  35. Generative Refinement Networks for Visual Synthesis

    Apr 14, 2026Jian Han, Jinlai Liu, Jiahuan Wang +2Autoregressive Image GenerationDiffusion Refinement

  36. HAFM: Hierarchical Autoregressive Foundation Model for Music Accompaniment Generation

    Apr 10, 2026Jian Zhu, Jianwei Cui, Yunlong Xue +4Music GenerationSheet Music

  37. SMART: When is it Actually Worth Expanding a Speculative Tree?

    Apr 9, 2026Lifu Wang, Pan ZhouSpeculative DecodingSelf-Speculative

  38. NeuralLVC: Neural Lossless Video Compression via Masked Diffusion with Temporal Conditioning

    Apr 3, 2026Tiberio Uricchio, Marco BertiniNeural Video CodecsSelf-Supervised Reconstruction Method

  39. When Sinks Help or Hurt: Unified Framework for Attention Sink in Large Vision-Language Models

    Apr 1, 2026Jiho Choi, Jaemin Kim, Sanghwan Kim +2Large Vision Language ModelsCross-Modal Attention

  40. Learning Concepts, Not Tokens: Self-Supervised Semantic Alignment for Language Models

    Mar 31, 2026Christine Zhang, Dan Jurafsky, Chen ShaniNext-Token PredictionGeo-Contextual Alignment

  41. Drift-AR: Single-Step Visual Autoregressive Generation via Anti-Symmetric Drifting

    Mar 30, 2026Zhen Zou, Xiaoxiao Ma, Mingde Yao +3Autoregressive DiffusionMulti-View Diffusion Model

  42. Autoregressive Guidance of Deep Spatially Selective Filters using Bayesian Tracking for Efficient Extraction of Moving Speakers

    Mar 24, 2026Jakob Kienegger, Timo GerkmannSpeech EnhancementAcoustic

  43. Revisiting Autoregressive Models for Generative Image Classification

    Mar 19, 2026Ilia Sudakov, Artem Babenko, Dmitry BaranchukAutoregressive Image GenerationGenerative Models

  44. AHOY! Animatable Humans under Occlusion from YouTube Videos with Gaussian Splatting and Video Diffusion Priors

    Mar 18, 2026Aymen Mir, Riza Alp Guler, Xiangjun Tang +2Animatable 3D Human AvatarsFeed-Forward 3D Gaussian Reconstruction

  45. NOVA: Next-step Open-Vocabulary Autoregression for 3D Multi-Object Tracking in Autonomous Driving

    Mar 6, 2026Kai Luo, Xu Wang, Rui Fan +1Multi-Object TrackingAutonomous Driving

  46. SEA-TS: Self-Evolving Agent for Autonomous Code Generation of Time Series Forecasting Algorithms

    Mar 5, 2026Longkun Xu, Xiaochun Zhang, Qiantu Tuo +1Autoregressive ModelSelf-Evolution

  47. Accelerating Masked Image Generation by Learning Controlled Latent Dynamics

    Feb 27, 2026Kaiwen Zhu, Quansheng Zeng, Yuandong Pu +9Large-Scale Image GenerationMasked Diffusion Language Models

  48. Logit Distance Bounds Representational Similarity

    Feb 17, 2026Beatrix M. G. Nielsen, Emanuele Marconato, Luigi Gresele +2Kullback-Leibler DivergenceLogit Lens

  49. LaViDa-R1: Advancing Reasoning for Unified Multimodal Diffusion Language Models

    Feb 15, 2026Shufan Li, Yuchen Zhu, Jiuxiang Gu +6Universal MultimodalDiffusion Language Models

  50. Few-Step Diffusion Language Models via Trajectory Self-Distillation

    Feb 12, 2026Tunyu Zhang, Xinxi Zhang, Ligong Han +10Diffusion Language ModelsFew-Step Generation

  51. FlashBlock: Attention Caching for Efficient Long-Context Block Diffusion

    Feb 5, 2026Zhuokun Chen, Jianfei Cai, Bohan ZhuangDynamic Sparse AttentionDiffusion Language Models

  52. Chain-of-Goals Hierarchical Policy for Long-Horizon Offline Goal-Conditioned RL

    Feb 3, 2026Jinwoo Choi, Sang-Hyun Lee, Seung-Woo SeoGoal-Conditioned Reinforcement LearningContext-Aware Sub-Goal Generation

  53. GryphOne: Symbol-Aware Masked Diffusion for Structural Refinement in Offline Handwritten Mathematical Expression Recognition

    Feb 3, 2026Takaya Kawakatsu, Ryo IshiyamaHandwritten Text RecognitionMnist

  54. ILRR: Inference-Time Steering Method for Masked Diffusion Language Models

    Jan 29, 2026Eden Avrahami, Eliya NachmaniDiffusion Language ModelsInference-Time Control

  55. Window-Diffusion: Accelerating Diffusion Language Model Inference with Windowed Token Pruning and Caching

    Jan 28, 2026Fengrui Zuo, Zhiwei Ke, Yiming Liu +3Diffusion Language ModelsLLM Inference Efficiency

  56. Streaming-dLLM: Accelerating Diffusion LLMs via Suffix Pruning and Dynamic Decoding

    Jan 25, 2026Zhongyu Xiao, Zhiwei Hao, Jianyuan Guo +4Diffusion Language ModelsLLM Inference Efficiency

  57. Mechanism Shift During Post-training from Autoregressive to Masked Diffusion Language Models

    Jan 21, 2026Injin Kong, Hyoungjoon Lee, Yohan JoMasked Diffusion Language ModelsDiffusion Language Models

  58. Test-Time Detoxification without Training or Learning Anything

    Jan 14, 2026Baturay Saglam, Dionysis KalogeriasToxicityDetoxification

  59. Sparse-LaViDa: Sparse Multimodal Discrete Diffusion Language Models

    Dec 16, 2025Shufan Li, Jiuxiang Gu, Kangning Liu +4Masked Diffusion Language ModelsDiffusion Language Models

  60. Spanning Tree Autoregressive Visual Generation

    Nov 21, 2025Sangkyu Lee, Changho Lee, Janghoon Han +6Autoregressive Image GenerationVisual Generation