Autoregressive Model

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Period ending 2026-09-21

25 new papers

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Period ending 2026-09-14

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  1. AdaMTP: An Adaptive Training Paradigm for Multi-Token Prediction

    Aug 1, 2026Ziqiang Cui, Han Shi, Bowei He +8Next-Token PredictionLarge Language Model Backbones

  2. DiffusionGemma Technical Report

    Jul 31, 2026DiffusionGemma Team, Adrien Ali Taïga, James Assiene +41Diffusion Language ModelsAutoregressive Generation

  3. OSAGEN: Object-Aware Mask Priors and Multistage Decoupled Diffusion for Industrial Anomaly Generation

    Jul 31, 2026Jinyi Xu, Peng Chen, Yunkang Cao +3Zero-Shot Anomaly DetectionMasked Diffusion Language Models

  4. PTP: Previous-Token Prediction based LLM Inversion for Near-Exact Prompt Reconstruction

    Jul 31, 2026Pirzada Suhail, Nagasai Saketh Naidu, Atanu R Sinha +1Next-Token PredictionPrompt Engineering

  5. Stable Autoregressive Speech Generation with Low-Frame-Rate High-Dimensional Continuous Tokens

    Jul 31, 2026Yi Luo, Rongzhi Gu, Jixun YaoAutoregressive Model

  6. ParaASR: Multi-Token Prediction for Fast and Long-Context LLM-Based Speech Recognition

    Jul 31, 2026Qingjian Lin, Yuxin Li, Haoyang Zhang +14Automatic Speech Recognition SystemsAutoregressive Decoding

  7. CORA-Diff: Confidence-Oriented Residual Acceptance for Efficient Diffusion Language Model Inference

    Jul 31, 2026Yifan Wu, Yufeng Zhang, Kenli LiDiffusion Language ModelsLarge Language Model Decoder

  8. Faster but Different: Diagnosing and Controlling Content Drift in Accelerated Multimodal Diffusion Language Models

    Jul 31, 2026Yaoxuan Dou, Yang ShuDiffusion Language ModelsTraining-Inference Mismatch

  9. Commit Locally, Exit Globally: Coordinating Adaptive Sampling and Early Exit in Diffusion Language Models

    Jul 30, 2026Chia-Ming Lee, Shao-Kai Liu, Ming-Ching Chang +3Diffusion Language ModelsAdaptive Sampling

  10. Latent-Kernel Discrete Flow Maps for Few-Step Generation

    Jul 29, 2026Mansoor Ahmed, Yue-Tsz Fan, Hemanth Venkateswara +1Few-Step GenerationGenerative Flow Networks

  11. Beyond the Bidirectional Promise: Re-evaluating the Robustness of Diffusion Language Models

    Jul 29, 2026Saurabh Yadav, Badri Narayana Patro, Vijay Srinivas AgneeswaranDiffusion Language ModelsBidirectional

  12. From Interface to Inference: Eliciting Any-Order Inference from Any-Order Models

    Jul 29, 2026Seunggeun Kim, Jaeyeon Kim, Taekyun Lee +4Masked Diffusion Language ModelsAutoregressive Language Models

  13. Can Deep Generative Models Reproduce Non-Stationary Gaussian Random Fields?

    Jul 28, 2026Daniel Kua, Yan SongGenerative ModelsGaussian Process

  14. AngelSpec: Towards Real-World High Performance Inference with Speculative Decoding

    Jul 28, 2026Hong Liu, Rui Cen, Junhan Shi +10Speculative DecodingLLM Inference Efficiency

  15. Freq-RemoteVAR: Next-Frequency Autoregressive Modeling for Remote Sensing Change Detection

    Jul 28, 2026Luqi Gong, Rui Xu, Yue Chen +3Change DetectionRemote Sensing

  16. PreDiff-LM: Pretrained Discrete Masked Diffusion Language Modeling with Hybrid Attention

    Jul 28, 2026Zhengtao Yao, Runhao Li, Xupeng Chen +12Diffusion Language ModelsLarge Language Model Pretraining

  17. UNIFUSION: Adapting Autoregressive Language Models into Discrete Diffusion under a Unified Reverse-Rate Objective

    Jul 27, 2026Xiaoyi Jiang, Jingyuan Li, Yixuan Jiang +4Diffusion Language ModelsAutoregressive Language Models

  18. Rethinking the Generation Order of Block Diffusion Language Models

    Jul 27, 2026Kai Syun Hou, James KwokDiffusion Language ModelsAutoregressive Decoding

  19. UniGen-AR: Unifying Visual Generation with Auto-Regressive Modeling

    Jul 27, 2026Zhipeng Bao, Zhen Zhu, Nupur Kumari +4Autoregressive Image GenerationVisual Generation

  20. Pointer-Augmented Autoregressive Generation of Patent Claims with Joint Topology and Content Decoding

    Jul 27, 2026Yongmin Yoo, Zhangkai Wu, Longbing CaoPatentAutoregressive Generation

  21. SketchMamba: A Lightweight State-Space Model for Joint Progressive Sketch Classification and Stroke Auto-Completion

    Jul 26, 2026Kavish Jhaveri, Arya ShahSketchesAutoregressive Generation

  22. Susceptible Reservoir Architectures for Regime-Conditional Volatility Forecasting

    Jul 24, 2026Aliaksei KaliutauStochastic VolatilityReservoir

  23. A Self-Calibrating Agentic AI Framework for Autonomous Edge Resource Allocation

    Jul 24, 2026Fin Gentzen, Marla Grunewald, Iulisloi Zacarias +2Heterogeneous Edge DevicesLarge Language Model Agents

  24. 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

  25. Closing the Loop: Training-Free Revisit Consistency for Autoregressive Generative Rendering

    Jul 23, 2026Wenchao Ma, Changran Liu, Sharon X. Huang +1Autoregressive Video GenerationLarge-Scale Video Generation Models

  26. Inference-Time Scaling of Diffusion Models via Progressive Seed Pruning

    Jul 23, 2026Rogerio Guimaraes, Pietro PeronaInference-TimeImage Generation

  27. Windowed-MTP: Removing the Full-Context Draft-KV Tax at Million-Token Context

    Jul 23, 2026Alagappan ValliappanSpeculative DecodingPer-Token Latency

  28. Nipping the Butterfly Effect in the Bud: Self-Output Fine-Tuning for Autoregressive Weather Prediction

    Jul 23, 2026Yun-Ye Cai, Hsuan-Tien LinArtificial Intelligence Weather ModelsLong-Horizon Forecasting

  29. CEDAR: Causal Edge Discovery for Autoregressive Processes

    Jul 22, 2026Mohammad FesangharyConditional IndependenceCausal Reasoning

  30. Sound Probabilistic Safety Bounds for Large Language Models

    Jul 22, 2026Mahdi Nazeri, Anne-Kathrin Schmuck, Sadegh Soudjani +1Large Language Model SafetyHarms

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

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

  32. Agent-Centric Animal Pose Forecasting

    Jul 21, 2026Eyrun Eyjolfsdottir, Kristin BransonEgocentric VisionAutoregressive Model

  33. Total Variation Distance Estimation in Autoregressive Models

    Jul 21, 2026Eric Price, Kevin Tian, Zhiyang Xun +1Autoregressive Language ModelsKullback-Leibler Divergence

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

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

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

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

  36. Wavefront Parallelization for Efficient Learned Image Compression

    Jul 21, 2026Shimon Murai, Fangzheng Lin, Kasidis Arunruangsirilert +1Learned Image CompressionAutoregressive Image Generation

  37. HPD-Parsing: Hierarchical Parallel Document Parsing

    Jul 21, 2026Shu Wei, Jingjing Wu, Lingshu Zhang +10ParallelNext-Token Prediction

  38. For What Reason? Interpreting Models' Encoding of Causation and Antithesis

    Jul 20, 2026Abhidip Bhattacharyya, Shira WeinCausal ReasoningNext-Token Prediction

  39. 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

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

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

  41. What does a Bayes-filtered transformer believe? A predictive Monte Carlo approach

    Jul 19, 2026Afiq Abdillah Effiezal Aswadi, Haotong Ma, Susan WeiPosteriorNext-Token Prediction

  42. Regularize or Localize: When Training-Time KV-Cache Geometry Pays Under Quantization

    Jul 19, 2026Libo Sun, Po-Wei Harn, Zewei Zhang +2Key-Value Cache QuantizationQuantization

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

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

  44. Constraint-Anchored Reasoning Traces

    Jul 18, 2026Zehua Cheng, Wei Dai, Jiahao SunLarge Language Model ReasoningMulti-Modal Large Language Models

  45. Bayesian Repetition Penalty: A Principled Adjacent-Conditional Framework for Reversing Attention Collapse in Autoregressive Language Models

    Jul 17, 2026Wenjie Fan, Bin Ma, Dong LiAutoregressive Language ModelsRepetition

  46. 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

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

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

  48. StemFX: Learning Mixing Style Representations via Autoregressive FX Chain Prediction on Source-Separated Stems

    Jul 17, 2026Yuan-Chiao Cheng, Jui-Te Wu, Brian Chen +3Representation LearningAutoregressive Model

  49. A Better Start for Language Models: Domain-Conditional Position Offsets

    Jul 17, 2026Ye QiaoLarge Language Model PretrainingModel Pretraining

  50. Mask-Aware Policy Gradients for Diffusion Language Models

    Jul 16, 2026Haran Raajesh, Kulin Shah, Adam Klivans +1Masked Diffusion Language ModelsPolicy Gradient

  51. Autoregressive Modeling of Film with Applications in Video Montage

    Jul 16, 2026Marcelo Sandoval-Castañeda, Fabian Caba Heilbron, Shiry Ginosar +4Autoregressive Video GenerationFilms

  52. 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

  53. VAIOM: Continuous-Input, Discrete-Output Decoder-Only Financial Sequence Modeling

    Jul 15, 2026Yiming Ma, Xinyu ChenStochastic VolatilityAutoregressive Model

  54. Concurrent Image Understanding and Generation: Self-Correcting Coupled Markov Jump Processes

    Jul 14, 2026Minh-Quan Le, Armand Comas, Alexandros Lattas +7Multimodal GenerationLarge-Scale Image Generation

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

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

  56. Accelerating Masked Diffusion Large Language Models: A Survey of Efficient Inference Techniques

    Jul 14, 2026Daehoon Gwak, Minhyung Lee, Junwoo Park +1Masked Diffusion Language ModelsInference-Time

  57. When Close Enough Is Not Enough: Autoregressive Drift in Quantum Circuit Synthesis

    Jul 14, 2026Mehdi Saeedi, Eddie Richter, Paul HartkeQuantum Circuit SimulationCircuits

  58. AdaPCLA: Adaptive Prior-Calibrated Logit Adjustment for Long-Tailed Longitudinal EHR Generation

    Jul 14, 2026Shuai Cui, Chen Wenxuan, Wenjie Du +3Electronic Health RecordsCovariate Shift

  59. ARDepth: Auto-regressive Monocular Depth Estimation with Progressive Visual Conditioning

    Jul 14, 2026Zijie Wang, Wei Zhang, Weiming Zhang +4Monocular Depth EstimationDepth Estimation

  60. Dzongkha Next Word Prediction System

    Jul 13, 2026Prerna Chhetri, Tenzin Yoezer, Phuntsho Wangmo +1N$-Grams FeaturesNext-Token Prediction