Autoregressive Model

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Period ending 2026-09-21

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  1. Autoregressive Boltzmann Generators

    Jun 25, 2026Danyal Rehman, Charlie B. Tan, Yoshua Bengio +2Autoregressive GenerationBoltzmann Distributions

  2. Safe Autoregressive Image Generation with Iterative Self-Improving Codebooks

    Jun 25, 2026Yunqi Xue, Zhijiang Li, Philip Torr +1Autoregressive Image GenerationAutoregressive Generation

  3. SubdivAR: Autoregressive Next-Scale Prediction for Neural Mesh Subdivision

    Jun 25, 2026Huipeng Guo, Zikai Song, Hang Long +7MeshesDiffusion Refinement

  4. Structure Before Collapse: Transient semantic geometry in next-token prediction

    Jun 25, 2026Yize Zhao, Isabel Papadimitriou, Christos ThrampoulidisNeural CollapseSemantic Representations

  5. HyperDFlash: Hyper-Connection-Aligned Block Speculative Decoding with Gated Residual Reduction

    Jun 25, 2026Luxi Lin, Shuang Peng, Rui Ma +7Speculative DecodingSelf-Speculative

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

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

  7. Does Aurora Encode Atmospheric Structure? Latent Regime Analysis and Attribution

    Jun 24, 2026Emma Kasteleyn, Ana LucicAtmospheric DynamicsWeather Models

  8. Improved Large Language Diffusion Models

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

  9. MRI2Rep: Autoregressive Structured Report Generation for 3D Liver MRI

    Jun 24, 2026Xinran Li, Junlin Yang, Annabella Shewarega +4Radiology Report GenerationReport

  10. Dream at SemEval-2026 Task 13: SALSA for Single-Pass Machine-Generated Code Detection

    Jun 23, 2026Ruslan Berdichevsky, Shai Nahum-Gefen, Elad Ben-ZakenAutoregressive Language Models

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

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

  12. DREAM: Dense Retrieval Embeddings via Autoregressive Modeling

    Jun 23, 2026Yixuan Tang, Yi YangRetrieval LayerAutoregressive Language Models

  13. Latent Block-Diffusion Temporal Point Processes: A Semi-Autoregressive Framework for Asynchronous Event Sequence Generation

    Jun 23, 2026Shuai Zhang, Yancheng Chen, Chuan Zhou +5Autoregressive DiffusionAutoregressive Generation

  14. P-MTP: Efficient Document Parsing via Multi-Token Prediction with Progressive Depth Scaling

    Jun 23, 2026Le Xiang, Chenxi Zhai, Shu Wei +5Next-Token PredictionLookahead

  15. 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

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

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

  17. Selective Capability Unlearning in End-to-End Spoken Language Understanding

    Jun 23, 2026Akanksha Singh, Vinod Kumar KurmiAutoregressive Model

  18. Data Provenance for Image Auto-Regressive Generation

    Jun 22, 2026Bihe Zhao, Louis Kerner, Michel Meintz +3Autoregressive Image GenerationAi-Generated Image Detection

  19. 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

  20. Scaling State-Space Models from Lines to Paragraphs: An Ablation of Mamba-based OCR

    Jun 22, 2026Merveilles Agbeti-Messan, Pierrick Tranouez, Stéphane Nicolas +2State Space ModelsOptical Character Recognition

  21. 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

  22. AudioCALM: Continuous Autoregressive Language Modeling for Universal Audio Generation

    Jun 22, 2026Huadai Liu, Kaicheng Luo, Wen Wang +4Audio LatentAudio

  23. MotionMAR: Multi-scale Auto-Regressive Human Motion Reconstruction from Sparse Observations

    Jun 22, 2026Yuhua Luo, Junsheng Zhang, Mengyin Liu +7Human MotionAutoregressive Model

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

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

  25. Federated Learning for Global Carbon Emission Forecasting: A Hybrid Time-Series Approach with Statistical and Neural Models

    Jun 21, 2026Attia Qammar, Qazi Haseeb Yousaf, Ali Azam +3Carbon EmissionsFederated Learning

  26. Deeper is Not Always Better: Mitigating the Alignment Tax via Confident Layer Decoding

    Jun 20, 2026Xuanming Zhang, Sining Zhoubian, Yuxuan Chen +8Large Language Model ReasoningLarge Language Model Alignment

  27. Test-Time Training with Next-Token Prediction

    Jun 19, 2026Xuan Ouyang, Zefan Cai, Junjie HuNext-Token Prediction

  28. 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

  29. 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

  30. NAC: Neural Action Codec for Vision-Language-Action Models

    Jun 19, 2026Ahad Jawaid, Yu XiangNeural Audio CodecsVision Encoders

  31. Context-Aware Autoregressive Diffusion for Gloss-Wise Sign Language Production

    Jun 19, 2026JungHoon Sung, Boeun Kim, Chu Xin +4Sign Language RecognitionAutoregressive Language Models

  32. A Gated Graph Neural Network Approach to Fast-Convergent Dynamic Average Estimation

    Jun 18, 2026Antonio Marino, Claudio Pacchierotti, Paolo Robuffo GiordanoMulti-Agent SystemsGraph Neural Networks

  33. Learning through Internalization

    Jun 18, 2026Nikolaos Tsilivis, Nirmit Joshi, Marko Medvedev +2InternalizationTransformer Layers

  34. How Transparent is DiffusionGemma?

    Jun 18, 2026Joshua Engels, Callum McDougall, Bilal Chughtai +11TransparencyInterpretable Models

  35. Comparative Study of Neural Surrogate Architectures for Autoregressive Prediction of Internal Battery States

    Jun 18, 2026Gihyun Lee, Thorben Menne, Simon Olma +2Lithium-Ion BatteriesAutoregressive Model

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

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

  37. Diffusion Language Models: An Experimental Analysis

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

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

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

  39. Structured Inference with Large Language Gibbs

    Jun 17, 2026Sanghyeok Choi, Henry Gouk, Esmeralda S. WhitammerProbabilistic InferenceLarge Language Model Reasoning

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

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

  41. Sumi: Open Uniform Diffusion Language Model from Scratch

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

  42. A Variational Framework for LLM Generator-Regulator Games

    Jun 16, 2026Quanyan ZhuEntropy-Regularized Equilibrium SelectionAutoregressive Language Models

  43. Unified Multimodal Autoregressive Modeling with Shared Context-Visual Tokenizer is Key to Unification

    Jun 16, 2026Wujian Peng, Lingchen Meng, Yuxuan Cai +7Unified Multimodal ModelsVisual Tokens

  44. 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

  45. Recursive Scaling in Masked Diffusion Models

    Jun 16, 2026Alba Carballo-Castro, Julianna Piskorz, Paulius Rauba +2Masked Diffusion Language ModelsDiscrete Diffusion Model

  46. VoidPadding: Let [VOID] Handle Padding in Masked Diffusion Language Models so that [EOS] Can Focus on Semantic Termination

    Jun 16, 2026Chunyu Liu, Zhengyang Fan, Kaisen Yang +1Masked Diffusion Language ModelsInstruction Tuning

  47. SoftMoE: Soft Differentiable Routing for Mixture-of-Experts in LLMs

    Jun 16, 2026Mikołaj Zasada, Łukasz Struski, Jacek Tabor +1Mixture-Of-Expert Language ModelsMixture-of-Experts Models

  48. A Generalized Formalism of Auto-Regressive Decoding for Speech Processing

    Jun 16, 2026Julia Gachot, Philipp Allgeuer, Marie S. Bauer +1Autoregressive DecodingAutoregressive Model

  49. Shattering the Autoregressive Curse: Dynamic Epistemic Entropy Orchestrated Erasable Reinforcement Learning for LLMs

    Jun 16, 2026Ziliang Wang, Kang An, Faqiang Qian +5Large Language Model ReasoningDeep Reinforcement Learning

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

    Jun 15, 2026Lin YaoDiffusion Language ModelsMultimodal Knowledge Editing

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

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

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

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

  53. Multi-Turn Reflective Masking Elicits Reasoning in Mask Diffusion Models

    Jun 15, 2026Yanming Zhang, Yihan Bian, Jingyuan Qi +3Masked Diffusion Language ModelsSequential

  54. Who Should Lead Decoding Now? Tracking Reliable Trajectories for Ensembling Masked Diffusion Language Models

    Jun 15, 2026Heecheol Yun, Joonhyung Park, Joowon Kim +1Masked Diffusion Language ModelsTrajectory Prediction

  55. Circuit Tracing in Autoregressive Protein Language Models

    Jun 14, 2026Darin Tsui, William Deinzer, Daniel Saeedi +1Mechanistic InterpretabilityAutoregressive Language Models

  56. GPT-Based Fast Simulation of CLAS12 Detector Hits via Conditional Autoregressive Generation

    Jun 14, 2026Cole Granger, James Giroux, Richard Tyson +2High Energy PhysicsAutoregressive Generation

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

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

  58. 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

  59. Hybrid NARX-LLM for Greenland Iceberg Discharge: Prompt-Driven Residual Correction

    Jun 13, 2026Yiquan Gao, Duohui XuSea-Surface Temperature DataAutoregressive Model

  60. MotionVLA: Vision-Language-Action Model for Humanoid Motion

    Jun 13, 2026Nonghai Zhang, Siyu Zhai, Yanjun Li +5Human Motion GenerationVideo Latents