Autoregressive Model

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Period ending 2026-09-21

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  1. Structure-Detail Decoupled Autoregressive Generation for Fast and High-Fidelity Virtual Try-On

    Jul 13, 2026Lu Yang, Xiaonan Hu, Yanan Li +3Virtual Try-OnGarments

  2. TIGER: Text-Conditioned Visual Gated Routing with Acceptance Alignment for Multimodal Speculative Decoding

    Jul 13, 2026Quynh Vo, Cong-Duy Nguyen, Ponhvoan Srey +2Speculative DecodingModality-Specific Encoders

  3. Predictive Divergence Masks for LLM RL

    Jul 12, 2026Xiangxin Zhou, Jiarui Yao, Penghui Qi +4Next-Token PredictionToken-Level Uncertainty

  4. Traj-VLN: Learning Pixel-Space Interaction via Autoregressive Trajectory Generation

    Jul 12, 2026Changfei Fu, Guangcheng Chen, Wenjun Xu +1Vision-Language NavigationTrajectory Prediction

  5. Unlocking Parallelism in Autoregressive Language Models via Speculative Decoding with Progressive Tree Drafting

    Jul 12, 2026Zipeng Gao, Zhi Zheng, Qingrong Xia +5Speculative DecodingAutoregressive Language Models

  6. Improving Sample Diversity in Autoregressive Text-to-Image Generation via Cluster Truncation

    Jul 12, 2026Trang Nguyen, Shuang Wu, Runyan Tan +1Autoregressive Image GenerationText-To-Image

  7. ARIMA: Reconstruction-Grounded Predictive Representation Learning for Symbolic Music

    Jul 10, 2026Mingyang Yao, Zhaoxiang FengMusic UnderstandingAudio Latent

  8. Optimizing ARDL Models for Retail Sales Forecasting and Fair Pricing

    Jul 10, 2026Sujay Uday RittikarDemand ForecastingPrices

  9. Tokenizer Transplantation: Mitigating Autoregressive Collapse in Edge-Efficient Bengali ASR

    Jul 10, 2026Sanjid Hasan, Md. Abdur RahmanAutomatic Speech Recognition SystemsBangla

  10. TS-Mask VLA: 2D Temporal-Spatial Masking for Vision-Language-Action Model with Effective Bridging

    Jul 10, 2026Shengzhuo Yang, Ronghao Yu, Chuanjie Lv +5Vision-Language-Action ModelsAutoregressive Language Models

  11. Spectral Origins of the Self-Correction Blind Spot in Autoregressive Generation

    Jul 9, 2026Ingrid Petrova, Luan VejsiuIterative Self-CorrectionAutoregressive Language Models

  12. A Practical Investigation of Training-free Relaxed Speculative Decoding

    Jul 9, 2026Guoxuan Xia, Luka Ribar, Paul BalancaSpeculative DecodingNext-Token Prediction

  13. Fractal KV-Cache Archives: Lossless Symbolic Storage with In-Place Retrieval for Long-Context LLM Inference

    Jul 8, 2026Vladimir GusevKey-Value CacheLLM Inference Efficiency

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

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

  15. Trees from Marginals: Autoregressive drafting with factorized priors

    Jul 7, 2026Yuma Oda, Ryan Mathieu, Roman Knyazhitskiy +1Autoregressive DecodingAutoregressive Language Models

  16. Nemotron-Labs-Diffusion: A Tri-Mode Language Model Unifying Autoregressive, Diffusion, and Self-Speculation Decoding

    Jul 7, 2026Yonggan Fu, Lexington Whalen, Abhinav Garg +23Autoregressive Language ModelsSelf-Speculative

  17. A Coin Flip Per Token: Bernoulli Sparse Steering of Large Language Models

    Jul 6, 2026Nima Eshraghi, Lovedeep Gondara, Yuqing Huang +5Activation SteeringAutoregressive Language Models

  18. DSpark: Confidence-Scheduled Speculative Decoding with Semi-Autoregressive Generation

    Jul 6, 2026Xin Cheng, Xingkai Yu, Chenze Shao +30Speculative DecodingSelf-Speculative

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

    Jul 5, 2026Lin YaoDiffusion Language ModelsCommits

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

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

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

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

  22. 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

  23. A Unified Framework for In-Context Learning with Causal and Masked Language Models

    Jul 5, 2026Chenrui Liu, Chuanlong Xie, Falong Tan +2In-Context LearningCausal Attention

  24. Flex-Forcing: Towards a Unified Autoregressive and Bidirectional Video Diffusion Model

    Jul 3, 2026Xinyin Ma, Julius Berner, Chao Liu +3Autoregressive Video DiffusionPre-Trained Video Diffusion Models

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

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

  26. Training Hybrid Block Diffusion Language Models with Partial Bidirectionality

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

  27. One More Time: Revisiting Neural Quantum States from a Reinforcement Learning Perspective

    Jul 2, 2026Juan Agustín Duque, Sergio García Heredia, Vinicius Hernandes +4Quantum Neural NetworksMany-Body Physics

  28. DeepGaze3.5-VL: Modeling Scanpaths via Autoregressive Token Prediction

    Jul 2, 2026Susmit Agrawal, Matthias Bethge, Matthias KümmererSpatial AttentionVisual Autoregressive Models

  29. Spec-AUF: Accept-Until-Fail Training under Train-Inference Misalignment for Masked Block Drafters

    Jul 2, 2026Tianjian Yang, Meng LiDrafterSpeculative Decoding

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

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

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

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

  32. Beyond Next-Token Prediction: An RLVR Proof of Concept for Tool-Use Agents on Atlassian Workflows

    Jul 1, 2026Karthikeya Aditya Vissa, Sankalp Mane, Ananya Mantravadi +2Reinforcement Learning With Verifiable RewardVerifiable Rewards

  33. 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

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

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

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

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

  36. 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

  37. Neural Network-Based Estimation of Time-Dependent Parameters in AR(p) Processes

    Jul 1, 2026Agnieszka Kopeć, Paweł Przybyłowicz, Martyna WiącekMultivariate ForecastingPredictive Uncertainty

  38. MEPA: Multi-Scale Representation Alignment for Visual Autoregressive Modeling with Mixture of Experts

    Jul 1, 2026Nuoyan Zhou, Zhijun Tu, Lei Yu +4Visual Autoregressive ModelsAutoregressive Generation

  39. 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

  40. GEAR: Guided End-to-End AutoRegression for Image Synthesis

    Jun 30, 2026Bin Lin, Zheyuan Liu, Chenguo Lin +8Autoregressive Image GenerationGenerative Models

  41. Generative Lane Topology Reasoning via Autoregressive Model with Geometry Prior

    Jun 30, 2026Jiahui Fu, Zehao Huang, Han Li +2Lane TopologyGeometry-Aware Foundation Model

  42. Mesh BDF: Barycentric Dominance Field for 3D Native Mesh Generation

    Jun 30, 2026Gaochao Song, Haohan Weng, Luo Zhang +2Meshes3D Latent Diffusion Model

  43. Bridging Video Understanding and Generation in a Unified Framework

    Jun 30, 2026Yuqi Wang, Runyi Li, Ruoyu Feng +3Video UnderstandingVisual Representations

  44. Long-term Traffic Simulation via Structured Autoregressive Modeling

    Jun 30, 2026Lingyu Xiao, Zexin Feng, Xintao YanMicroscopic Traffic SimulationsAutonomous Driving

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

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

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

    Jun 28, 2026Gagan JainDiffusion Language ModelsTraining-Inference Mismatch

  47. When Prices Double in a Week: Forecasting of Agricultural Volatility in Import-Isolated Markets

    Jun 28, 2026Ranuga Weerasekara, Heshan Nethmina, Manuja Ranathunga +6CropSri Lanka

  48. Understanding Evaluation Illusion in Diffusion Large Language Models

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

  49. Multi-Block Diffusion Language Models

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

  50. How Token Influence Decays with Distance: A Green-Function View of Trained Language Models

    Jun 28, 2026Matthias Brändel, Stephan Köhler, Oliver RheinbachAutoregressive TransformersNext-Token Prediction

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

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

  52. Masked Diffusion Decoding as xx-Prediction Flow

    Jun 27, 2026Weitian Wang, Lianlei Shan, Shubham Rai +2Masked Diffusion Language ModelsLarge Language Model Decoder

  53. MACROCAST: A Vintage-Consistent Time Series Foundation Model for Real-Time Macroeconomic Forecasting

    Jun 27, 2026Andrea Carriero, Davide Pettenuzzo, Shubhranshu ShekharTime Series Foundation ModelsSynthetic Time Series

  54. VGB for Masked Diffusion Model: Efficient Test-time Scaling for Reward Satisfaction and Sample Editing

    Jun 26, 2026Kijung Jeon, Thuy-Duong Vuong, Molei TaoMasked Diffusion Language ModelsInference-Time

  55. From Tokens to States: LLMs as a Special Case of World Models and the Continuous Path Beyond

    Jun 26, 2026Paul DuboisLatent World ModelsAutoregressive Language Models

  56. MultiHashFormer: Hash-based Generative Language Models

    Jun 26, 2026Huiyin Xue, Atsuki Yamaguchi, Nikolaos AletrasEncodersAutoregressive Model

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

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

  58. Masked Language Flow Models

    Jun 26, 2026Iskander Azangulov, Kianoosh Ashouritaklimi, Leo Zhang +2Masked Diffusion Language ModelsGenerative Flow Networks

  59. EntMTP: Accelerating LLM Inference with Entropy Guided Multi Token Prediction

    Jun 25, 2026Carrie ChenNext-Token PredictionLLM Inference Efficiency

  60. 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