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27 papers in the last four weeks, up 170% on the four weeks before. 0.3% of all new papers.

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  1. Beyond Decodability: Do Acoustic Factors Drive Predictions in Speech-Based Alzheimer's Assessment?

    Oct 1, 2026Serli Kopar, Alkis Koudounas, Roshan P. Rane +3AcousticAlzheimer

    Hertie Institute for AI in Brain Health, Germany · Tübingen AI Center, Germany · Sony Group Corporation, Japan +1

  2. Gacha Decoding: Eliciting Diverse Generations Through Instruction Following

    Oct 1, 2026Scott Geng, Yufei Zhang, Joseph Lee +3Large Language Model GenerationDiversity

    University of Washington · Meta Superintelligence Labs

  3. Removing Timing Shortcuts Improves Non-Invasive Brain-to-Text

    Sep 30, 2026Dulhan Jayalath, Oiwi Parker JonesNeural RecordingsDecoding

    Neural Processing Lab (PNPL) Department of Engineering Science, University of Oxford

  4. GrammarRL: Effective Grammar-Constrained Decoding via Reinforcement Learning

    Sep 30, 2026Gabriele Tuccio, Antonino Furnari, Aldo Gangemi +1Language ModelingConstrained Decoding

    University of Catania · ISTC - National Research Council, Italy · University of Bologna

  5. Twist, Don't Tilt: Trajectory-Exact Constrained Decoding for Masked Diffusion Models

    Sep 28, 2026Aditya Thimmaiah, Lara Marinov, Jayanth Srinivasa +3Masked Diffusion Language ModelsConstrained Decoding

    The University of Texas at Austin · Cisco Research

  6. HPMD: A Historical Persian Manuscript Dataset for Word Spotting with Line-Level Annotation

    Sep 28, 2026Saeid Firouzi Daghigh, Majid Iranpour MobarakehHistorical ManuscriptsPersian

    Department of Computer Engineering and Information Technology, Payame Noor University, Tehran, Iran

  7. PhysioTRACE: Provenance-Aware Stress Tests for Physiological Foundation Models

    Sep 28, 2026Ayana Mussabayeva, Anuar Aimoldin, Olivier Oullier +2Physiological DataElectroencephalography Foundation Models

    Mohamed bin Zayed University of Artificial Intelligence (MBZUAI), Abu Dhabi, UAE · McGill University, Montreal, Canada · Carnegie Mellon University, Pittsburgh, USA

  8. One Sequence, Many Decodings: CAGenMol-2 Recasts Drug Design as Masked Molecular Inference

    Sep 28, 2026Yanting Li, Enyan Dai, Lei Wang +2Molecular DesignNeural Mask Estimation

    The Hong Kong University of Science and Technology (Guangzhou) · Jinan University, Guangzhou

  9. SlimWise: Decoupling Expert Pruning Across Prefill and Decode for Efficient MoE Serving

    Sep 28, 2026Gunho Park, Kyoungho Jeun, Juntaek Oh +3Mixture-Of-ExpertsLLM Inference Optimization

    a2sys · KAIST

  10. PQ-HSA: Reusing Product-Quantized Scores for Hybrid Sparse-Approximate Attention

    Sep 27, 2026Kunming Shao, Jierun Chen, Yanli Wang +4Dynamic Sparse AttentionKey-Value Cache Quantization

    The Hong Kong University of Science and Technology · Huawei Technologies Ltd. · Sun Yat-sen University +1

  11. CertMark: Distortion-Free Multi-Bit Watermarking with Certified Decoding

    Sep 27, 2026Paweł Batorski, Przemysław Spurek, Paul SwobodaWatermarksDecoding

    Heinrich Heine University Düsseldorf · Jagiellonian University · IDEAS Research Institute

  12. Reasoning Instructions Can Break Answer Decoding in Vision--Language Models

    Sep 24, 2026Zeyan Li, Siyuan Qiu, Jianfeng XuQwen3Answer

    Shanghai Jiao Tong University

  13. Measuring the Serving Stack Instead of the Model: Hidden Confounds in Local Tool-Use Evaluation

    Sep 22, 2026Lijuan Tang, Yuemeng ZhengTool InvocationEvaluation Protocols

    Northeastern University, Seattle

  14. Diffusion Drafts, AR Verifies: Accelerating Document OCR with Self-Speculative Decoding

    Sep 22, 2026Dohyun Kim, Sungjun Han, Hyungguk Kim +4Lingdt-Vl-OcrBlock-Diffusion Drafter

    Trillion Labs · Korea University · Seoul National University

  15. Greedy Decoding Is Not Precision-Invariant: Cross-Precision Output Divergence in LLM Inference

    Sep 22, 2026Gaoyuan Du, Anam Nawaz Khan, Rex Zhou +4Constrained DecodingLLM Inference Optimization

    University of Tennessee, Knoxville · University of Chicago · Amazon +1

  16. Disaggregated Quantization: Specializing LLM Prefill and Decode

    Sep 22, 2026Andrei Panferov, Maximilian Kleinegger, Sweta Priyadarshi +2Large Language Model QuantizationQuantizer

    NVIDIA · ISTA

  17. Optimal Tradeoffs Between Network Size and Parameter Magnitude in Neural Approximation and Minimax Regression

    Sep 22, 2026Baicheng Li, Zuowei Shen, Haizhao Yang +1Neural ApproximationsApproximation

    Department of Mathematics, University of Maryland, College Park, MD 20742-4015, USA. · Department of Mathematics, National University of Singapore, Singapore 119076. · Department of Applied Mathematics, The Hong Kong Polytechnic University, Hong Kong, China.

  18. EMGBlend: Heterogeneity-Aware Self-Supervised Pretraining for Gesture and Force Decoding

    Sep 22, 2026Yuwei Jia, Cheng Zhong, Jinyang Yu +1Surface ElectromyographyElectrocardiogram Foundation Models

    Beijing University of Posts and Telecommunications, China · Dexwise, China · Shenzhen University, China

  19. Resolution-Flexible Decoding for Hybrid Neural Video Representations

    Sep 20, 2026Taiga Hayami, Masaya Takabe, Hiroshi WatanabeVideo CompressionDecoding

    Graduate School of FSE, Waseda University Tokyo, Japan

  20. Apollo Restore: A Foundation LLM for Historical Greek Optimized for Fill-in-the-Middle Restoration of Ancient Greek Texts

    Sep 18, 2026Hope McGovern, Anna Dolganov, Samuel Belkadi +3GreekHistorical Manuscripts

    Mistral AI · Austrian Academy of Sciences · Reply +1

  21. Decodable but Misrouted: Sparse Features Uncover a Readout Gap in Vision-Language Models for Harmful Meme Detection

    Sep 16, 2026Girish A. Koushik, Diptesh Kanojia, Helen TreharneReadoutVisual Evidence

    Nature-Inspired Computing & Engineering Department of Computer Science University of Surrey Guildford, United Kingdom · Surrey Centre for Cyber Security Department of Computer Science University of Surrey Guildford, United Kingdom

  22. 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

  23. Decodability is Not Causality: Dissociating Probe Readouts from Behavioral Drivers via SAE Decomposition

    Sep 16, 2026Devesh Tiwari, Camille Davis, Shivank Sinha +3Model ActivationsCausal Reasoning

    WW-P High School South · Phillips Academy Andover · Dublin High School +3

  24. Cascade: Hierarchical Recoverability Control for Large Language Model Unlearning

    Sep 15, 2026Qingchen Yu, Shiying Duan, Xiaodong Li +5Large Language Model UnlearningDecoding

    1Beijing Advanced Innovation Center for Future Blockchain and Privacy Computing, Beihang University · School of Artificial Intelligence, Beihang University · Center for Applied Statistics, School of Statistics, Renmin University of China +1

  25. Early-Bird Decoding: Accelerating Diffusion LLMs with Learnable Block Sizes and Parallel Sampling

    Sep 15, 2026Lixuan Wei, Wei Zhou, Jianwen Wu +3Diffusion Language ModelsDecoding

    Harvard University · Georgia Institute of Technology · Purdue University

  26. Dissecting GPU Utilization for LLM Inference on Nvidia Hopper

    Sep 14, 2026Mohammad Siavashi, Gerald Q. Maguire Jr., Dejan Kostic +1Graphics Processing Unit ResourcesLLM Inference Optimization

    KTH Royal Institute of Technology, Stockholm, Sweden

  27. Typhoon ASR Streaming: Steerable Low-Latency Thai Speech Recognition with Real-Time Shallow Fusion

    Sep 14, 2026Warit Sirichotedumrong, Tanawin Samutsin, Shah Faisal Wani +2Automatic Speech RecognitionDecoding

    Typhoon Team, SCB DataX, Bangkok, Thailand

  28. Routing by Reasoning Need: Trajectory-Aware Decoding Control for Diffusion Vision-Language Models

    Sep 12, 2026Yixiang Liu, Zhongxing Xu, Zhonghua Wang +1Diffusion Language ModelsInference-Time Steering

    Southern University of Science and Technology · Monash University

  29. Reference-Based Bias Detection in LLMs via Relative Representations of Hidden States

    Sep 9, 2026Marek Jeliński, Jan Dubiński, Maciej Chrabaszcz +1Large Language Model BiasModel Auditing

    NASK - National Research Institute, Poland · Warsaw University of Technology, Poland · Gda´nsk University of Technology, Poland

  30. Canonical Color as a Lens into Concept Decodability in Vision Encoders and VLMs

    Sep 8, 2026Xiaofu Chen, Stella Frank, Yova KementchedjhievaVision EncodersDecoding

    MBZUAI · Technical University of Denmark

  31. PIC: Revisiting INR for Image Coding with Fast Encoding and Sub-Millisecond Decoding

    Sep 8, 2026Xiang Liu, Jinxiang Wang, Bin Chen +5Ultra-Low BitratesNeural Representations

    Tsinghua University, China · Harbin Institute of Technology, Shenzhen, China · Peng Cheng Laboratory, China +1

  32. Deadline-Aware Adaptive Prefill Chunking for Efficient Large Language Model Serving

    Sep 7, 2026Siyu Song, Qi Bai, Jinbo Hao +3Large Language Model ServingPrefill

    School of Computer Science and Technology, Beijing Institute of Technology · School of Computer Science and Engineering, Sun Yat-sen University · School of Computer Engineering, Jiangsu Ocean University

  33. Encoded Early, Used Late: Where Transformers Begin to Act on an Inferred Partner's Expertise

    Sep 7, 2026Mika Okamoto, Gabriele SartiTransformer ArchitecturesDecoding

    Georgia Institute of Technology · Northeastern University

  34. Brain2Speech-Net: Fast and Intelligible Brain-to-Speech Synthesis Without Text Decoding

    Sep 3, 2026Shreeram Suresh Chandra, Zexin Cai, Yu Tsao +2Flow-Matching Text-To-SpeechNeural Recordings

    Johns Hopkins University, USA · Academia Sinica, Taiwan · University of Edinburgh, UK

  35. hLLM: Single Pass Decoding for Generative Reranking

    Sep 1, 2026Emil Laftchiev, Prachi Agrawal, Moe Kayali +7Large Language Model DecodingCross-Encoder Reranking

    Meta Platforms, Inc.

  36. SingProbe Technical Report

    Aug 31, 2026Sing TeamLarge Language Model SafetyRuntime Safety Filtering

    AI Security Lab, Ant Group

  37. ReTrace: Rejected-Trajectory Conditioning for Speculative Decoding

    Aug 30, 2026Luxi Lin, Zhanpeng Zeng, Shuang Peng +2Speculative DecodingDecoding

    1Xiamen University, 2ByteDance

  38. LiLiCorr: Lightweight Likelihood Correlation of Parallel Drafts for Speculative Decoding

    Aug 20, 2026Matan Rusanovsky, Yoav Miron, Roy Uziel +5Speculative DecodingDrafter

    NVIDIA

  39. Decoding Task Progress from VLA Representations

    Aug 13, 2026Atiksh Bhardwaj, Edward Weiyi Duan, Prithwish Dan +2Visuomotor PolicyMechanistic Interpretability

    Cornell University

  40. Alignment Drift in Single-Model Speculative Decoding for ASR: Mechanism, Correction, and Cost

    Aug 13, 2026Xinyu Wang, Huapeng Zhou, Ziyu Zhao +5Speculative DecodingAutomatic Speech Recognition

    1Boson AI · 2McGill University

  41. From Interpretability to Control: Insights from Six Years of the TrustNLP Workshop

    Aug 11, 2026Rahul Gupta, Abhinav Mohanty, Anaelia Ovalle +10Trustworthy Artificial IntelligenceLarge Language Model Reliability

    Amazon AGI · Meta · Autodesk +3

  42. Frozen Brain-MRI Foundation Models Are Site Fingerprints

    Aug 10, 2026Saman RahbarFunctional Magnetic Resonance ImagingFingerprint

    University of British Columbia, Vancouver, Canada

  43. Decodable But Not Detachable: Training Data Granularity Determines Parametric Modularity in Large Language Models

    Aug 10, 2026Marcus Armstrong, Navid Ayoobi, Arjun MukherjeeNeuronsSelectivity

    Department of Computer Science University of Houston Houston, TX 77204

  44. Decoding-Level Taboo: A Diagnostic Stress Test for LLM Robustness

    Aug 10, 2026Tadanobu Chuyo Kamijo, Ori Rottenstreich, Javier Conde +2Large Language Model SafetyLarge Language Model Evaluation

    University of the Ryukyus · Technion · Infornation Processing and Telecommunications Center (IPTC) Universidad Polécnica de Madrid

  45. Decodable but Not Accessible: Auditing Distance-Based Reliability Estimation on Disentangled Skin-Lesion Representations

    Aug 10, 2026Duc-Vinh TranRepresentation SpaceOrthogonality

    School of Information and Communication Technology, Hanoi University of Science and Technology, 1 Dai Co Viet Road, Hai Ba Trung, Hanoi 100000, Vietnam

  46. Learning Context-Free Grammars for Grammar-Constrained Decoding via Declarative Agentic Programming with Guarantees

    Aug 6, 2026Kevin Cheang, Geoff Hulette, Rahul Kumar +5Context-Free GrammarsDomain-Specific Language

    Amazon Web Services · Purdue University

  47. AOSpec: Action and Observation Co-Speculation for Low-Latency Agent Serving

    Aug 1, 2026Hao Mark Chen, Jinnan Guo, Wayne Luk +1Self-SpeculativeSmooth Execution

    Imperial College London, UK

  48. Decoding Children's Gait Behavior

    Aug 1, 2026Yifan Shen, Boyi Li, Meihuan Huang +12Gait AnalysisGait Dynamics

    University of Illinois Urbana-Champaign · PediaMed AI · Shenzhen Children’s Hospital +2

  49. Why Are GUI Agents Correct but Late? Decode on the Decision-Time Critical Path, Tested with Pre-Compiled Policy Trees

    Jul 30, 2026Zihan Dong, Rui Qian, Qishi Zhan +3Graphical User Interface AgentsGraphical User Interface

    Georgia Institute of Technology · Fudan University · Marquette University +3

  50. DECODE: Tackling Representation and Decision Degradation in Continual AI-Generated Image Detection

    Jul 30, 2026Zihao Cai, Xinghan Li, Ruiyan Yang +3Ai-Generated Image DetectionUnsupervised Detection

    Visual Laboratory of Fudan University, College of Computer Science and Artificial Intelligence, Fudan University, Shanghai, China · CEC GienTech Technology Co., Ltd., Shanghai, China

  51. Hallucinations Leave a Grounding Signature:Verifier-Guided Decoding for Selective Object Correction

    Jul 30, 2026Lei Yang, Xinze Liu, Dayan Wu +7Object HallucinationVisual Evidence

    Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China · School of Cyber Security, University of Chinese Academy of Sciences, Beijing, China · Department of Applied Mathematics and Statistics, Johns Hopkins University, Baltimore, MD, USA

  52. Understanding Semantic IDs: From Item Representation to Item Selection in Generative Recommendation

    Jul 27, 2026Junting Wang, Xinrui He, Yunzhe Li +1Sequential RecommendationCross-Encoder Reranking

    University of Illinois Urbana-Champaign Urbana, Illinois, USA

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

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

    Frontier AI Research Centre, Macquarie University · School of Computing, FSE, Macquarie University

  54. Out-of-Length Scene Text Recognition: A Two-Axis Diagnosis and a Training-Free Fix

    Jul 25, 2026Zobeir Raisi, John ZelekScene Text RecognitionCharacter Error Rate

    aElectrical Engineering Department, Chabahar Maritime University, Chabahar, Iran · bDepartment of Systems Design Engineering, University of Waterloo, Waterloo, N2L 3G1, ON, Canada

  55. FusionML: Prefill, Not Decode - Mechanism and Boundaries of CPU+GPU Co-Execution on Unified-Memory Apple Silicon

    Jul 24, 2026Om MohiteCpu-Gpu Hybrid DesignsPrefill

    Independent Researcher, Mumbai, India

  56. Train the Model, Not the Reader: Decodability Supervision for Verifiable Activation Explanations

    Jul 22, 2026Hiskias DingetoVerbalizationInterpretability

    StackOne Technologies

  57. CUSUM-Shaped Inference-Time Monitoring and Targeted Re-Decoding for Quantized Small Language Model Reasoning

    Jul 22, 2026El Hassane Ettifouri, Ayoub Belfatmi, Mahaman Sanoussi Yahaya Alassan +1Inference-TimeDecoding

    Novelis Research, Paris, France

  58. Addressing Limited Data in Auditory Attention Decoding with Diffusion Generative Models

    Jul 20, 2026David Rannaleet, Victor Gunnarsson, Bo Bernhardsson +2Auditory AttentionSmall-Sample Electroencephalogram Datasets

    Department of Automatic Control, Lund University, Lund, Sweden. · Eriksholm Research Centre, Snekkersten, Denmark. · Department of Electrical Engineering, Linköping University, Linköping, Sweden.

  59. DECODEM: Data Extraction from Corporate Organizational Documents via Enhanced Methods

    Jul 17, 2026Jens FrankenreiterUnstructured DataEmpirical Study

    Washington University in St. Louis School of Law

  60. The Capacity of Thought: Benchmarking Llama 3.2 in Semantic fMRI Neural Language Decoding and Improving the Huth Encoding-Model Baseline

    Jul 13, 2026Milos Suvakovic, Dom Marhoefer, Glenn Grant-Richards +1Functional Magnetic Resonance ImagingDecoding

    UC Santa Cruz