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6 papers in the last four weeks, against 2 the four weeks before. 0.1% of all new papers.

Jul 13Week of Sep 28
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  1. Beyond Depth Truncation: Controlled Evaluation of Depth Utilization in Recursive Language Models

    Sep 17, 2026Ha Van Dau, Thanh Tung Khuat, Nguyen Thanh DungLayer-WiseTruncation

    NuverxAI - AI & Creative Innovation Company Limited · Ho Chi Minh City University of Technology (HCMUT)

  2. Recency Forcing: Bridging the Long-Horizon Gap in Autoregressive Video Generation

    Sep 17, 2026Tri Cao, Hung Nguyen, Phong Nguyen +1Autoregressive Video GenerationVideo Generation

    Qualcomm AI Research

  3. Beyond Truncation: Rethinking LLM Decoding as Ensemble Pruning

    Sep 16, 2026Dunyao Xue, Chengshuo Du, Zhengbo Wang +2Large Language Model DecodingDecoding

    Institute of Statistics and Big Data, Renmin University of China, Beijing, China · Big Data and Responsible Artificial Intelligence for National Governance, Renmin University of China, Beijing, China · Center for Applied Statistics, Institute of Statistics and Big Data, Renmin University of China, Beijing, China

  4. Temperature Fragility and the Conditional Benefits of Truncation Sampling

    Sep 14, 2026Francesco La RosaTruncationMmlu-Pro

    University of Edinburgh

  5. Doc2FRC: Length-Consistent Document-Level Machine Translation via Fixed-Range Chunking

    Sep 14, 2026Xiaotian Wang, Youyuan Lin, Zhan Shen +1Machine Translation QualityChunk

    The University of Tokyo · Riken · Kyoto University +1

  6. Why Learning Rediscovers the Closed-Form Diagonal Regularizer

    Sep 9, 2026Jeahn Han, Pyojin KimRegularizationBayesian Inverse Problems

    GIST

  7. It's the Problem, Not the Path: Budget and Difficulty Confounds in LLM Reasoning Trajectories

    Sep 3, 2026Yigit Utku BulutLLM Reasoning StrategiesReasoning Traces

    Johannes Kepler University Linz

  8. From Truncation to Commitment: Persistent Context in Uniform Discrete Diffusion

    Sep 1, 2026Satoshi HayakawaTruncationDiffusion Dynamics

    The University of Tokyo

  9. Approximate Speculative Decoding

    Aug 4, 2026Yuannuo Feng, Zegang Peng, Yuxin Xie +5Speculative DecodingTruncation

    School of Integrated Circuit Science and Engineering, Beihang University, Beijing, China · Department of Precision Instrument, Tsinghua University, Beijing, China · Faculty of Engineering, The University of Hong Kong, Hong Kong SAR, China +2

  10. Conformal risk control for model-form uncertainty in parametric non-intrusive reduced-order models

    Aug 4, 2026Edgar Jaber, Rémy Vallot, Thibault Dairay +1Reduced-Order ModelsUncertainty Quantification

    CB, ENS Paris Saclay · Université Paris-Saclay, CNRS, ENS Paris-Saclay, Centre Borelli, Gif-sur-Yvette, 91190, France · CB, Michelin +3

  11. Floor, Ceiling, and the Fusion Gap: How Much of Crowd Reading Attention Can Machines Predict?

    Aug 3, 2026Kazuki Nakayashiki, Keisuke WatanabeReadabilityCeiling

    Glasp Inc.

  12. Revisiting Lossy Verification in Speculative Decoding: Mechanisms, Trade-offs, and Failure Modes

    Jul 29, 2026Tianyu Wang, Yuxuan Zhou, Wenbin Wang +3Speculative DecodingLLM Inference Optimization

    1Independent Researcher · 2Baidu Inc. · 3Zhejiang University

  13. Spectral Truncation in Synthetic Control

    Jul 27, 2026Mojtaba EslamiControlled StudyTruncation

    University of Calgary

  14. Asymptotically Optimal Regret for Reinforcement Learning without Horizon Dependence

    Jul 22, 2026Runlong Zhou, Zihan Zhang, Maryam Fazel +1Model-Free Reinforcement LearningValue Functions

    University of Washington. · Hong Kong University of Science and Technology. · §University of Washington. +1

  15. Spatial Transport of Integration Error in Generative ODEs

    Jul 17, 2026Songheng YinTime DiscretizationDiffusion Models

    Columbia University

  16. 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 Optimization

    Zhejiang University

  17. 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

    University of Massachusetts Amherst · Thoughtworks

  18. Domain-Decomposed Randomized Neural Networks for Partial Differential Equations in Unbounded Domains

    Jun 30, 2026Haixin Wang, Haoning Dang, Fei Wang +1Variational FormulationPartial Differential Equations

    School of Mathematics and Statistics, Xi’an Jiaotong University, Xi’an, Shaanxi 710049, P.R. China. · School of Mathematics and Statistics & State Key Laboratory of Multiphase Flow in Power Engineering, Xi’an Jiaotong University, Xi’an, Shaanxi 710049, China.

  19. Fast algorithms for learning a Gaussian under halfspace truncation with optimal sample complexity

    Jun 25, 2026Haitong Liu, Deepak Narayanan Sridharan, David Steurer +1Optimal Sample ComplexityGaussian Primitives

    ETH Zurich

  20. ROMPAR: Morphological Completion and Demographic Unlearning for Romanian-Accented Speech Recognition

    Jun 14, 2026Andrei-Marius Avram, Aureliu-Valentin Antonie, Ştefan-Bogdan Badea +3Automatic Speech RecognitionText Corpora

    National University of Science and Technology POLITEHNICA Bucharest, Romania

  21. Adaptive Nucleus Truncation for Long-Form Reasoning

    Jun 12, 2026Ousmane Amadou DiaLLM Reasoning StrategiesTruncation

  22. Information-Theoretic Lower Bounds for Bit-Constrained Stochastic Optimization via a Reduction to Compressed Gaussian Mean Estimation

    May 30, 2026Munsik KimInformation-Theoretic LimitsStochastic Optimization

  23. Symmetric Hermite quadrature-based balanced truncation for learning linear dynamical systems from derivative data

    May 29, 2026Sean Reiter, Steffen W. R. WernerReduced-Order ModelsDynamical Systems

    Courant Institute School of Mathematics, Computing, and Data Science, New York University, New York, NY 10012, USA. · Department of Mathematics, Division of Computational Modeling and Data Analytics, and National Security Institute, Virginia Tech, Blacksburg, VA 24061, USA.

  24. Polynomial Context-Truncation Sensitivity in Autoregressive Language Models: Sequential Wyner-Ziv Bounds for KV Cache Compression

    May 24, 2026Munsik KimKey-Value Cache CompressionAutoregressive Language Models

    Independent Researcher.

  25. MinerU-Popo: Universal Post-Processing Model for Structured Document Parsing

    May 24, 2026Bangrui Xu, Ziyang Miao, Xuanhe Zhou +8Document ParsingOptical Character Recognition

    Shanghai Jiao Tong University · Shanghai Artificial Intelligence Laboratory, OpenDataLab · University of California, Berkeley

  26. The Illusion of Reasoning: Exposing Evasive Data Contamination in LLMs via Zero-CoT Truncation

    May 21, 2026Yifan Lan, Yuanpu Cao, Hanyu Wang +2LLM Reasoning StrategiesBlack Box

    The Pennsylvania State University

  27. Three Costs of Amortizing Gaussian Process Inference with Neural Processes

    May 20, 2026Robin YoungGaussian ProcessTruncation

    University of Cambridge, Cambridge, UK

  28. EntmaxKV: Support-Aware Decoding for Entmax Attention

    May 20, 2026Gonçalo Duarte, Miguel Couceiro, Marcos V. TrevisoDynamic Sparse AttentionLarge Language Model Decoding

    Instituto Superior Técnico, Universidade de Lisboa. · ELLIS Unit Lisbon. · INESC-ID. +1

  29. Concentration of General Stochastic Approximation Under Heavy-Tailed Markovian Noise

    May 20, 2026Shubhada Agrawal, Siva Theja Maguluri, Martin ZubeldiaStochastic ApproximationConcentration Bounds

    Indian Institute of Science · Georgia Institute of Technology · University of Minnesota

  30. Decomposing MXFP4 quantization error for LLM reinforcement learning: reducible bias, recoverable deadzone, and an irreducible floor

    May 19, 2026Xiaocan Li, Shiliang Wu, Zheng ShenLarge Language Model QuantizationLarge Language Model Reinforcement Learning

    Huawei Canada

  31. To MRL or not to MRL: Text Embeddings are Robust to Truncation Without Matryoshka Learning, Except In Heavy Truncation Scenarios

    May 15, 2026Sotaro Takeshita, Yurina Takeshita, Simone Paolo Ponzetto +1Matryoshka Representation LearningText Embeddings

    Data and Web Science Group, University of Mannheim, Germany · Independent Researcher · NEC Laboratories Europe, Heidelberg, Germany

  32. TruncProof: A Guardrail for LLM-based JSON Generation under Token-Length Constraints

    May 13, 2026Yoshio Kato, Shuhei TarashimaLarge Language Model GenerationTruncation

    NTT DOCOMO BUSINESS, Inc., Japan

  33. Local Truncation Error-Guided Neural ODEs for Large Scale Traffic Forecasting

    May 5, 2026Xiao Zhang, Yafei Li, Ruixiang Wang +3Neural Ordinary Differential EquationsOrdinary Differential Equations

    Zhengzhou University · Northwestern Polytechnical University

  34. Mean Testing under Truncation beyond Gaussian

    May 2, 2026Yuhao Wang, Roberto Imbuzeiro Oliveira, Themis GouleakisTruncationRegularity

    Amazon · IMPA, Rio de Janeiro, RJ, Brazil · Nanyang Technological University

  35. The Truncation Blind Spot: How Decoding Strategies Systematically Exclude Human-Like Token Choices

    Mar 19, 2026Esteban Garces Arias, Nurzhan Sapargali, Christian Heumann +1Machine-Generated Text DetectionSingle-Token Output Distributions

    Department of Statistics, LMU Munich · Munich Center for Machine Learning (MCML)

  36. Distilling the Essence: Efficient Reasoning Distillation via Sequence Truncation

    Dec 24, 2025Wei-Rui Chen, Vignesh Kothapalli, Ata Fatahibaarzi +5Knowledge DistillationLarge Reasoning Models

    1The University of British Columbia · 2LinkedIn · 3Canada Research Chair in NLP and ML