Quantization-Aware Training

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5 papers in the last four weeks, up 67% on the four weeks before. 0.1% of all new papers.

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  1. Q-MINO: A Minimal-Norm Method for Quantization-Aware Training

    Sep 30, 2026Don LiQuantization-Aware TrainingFlat Minima

    Department of Mathematics & Statistics Portland State University

  2. QATFactory: A Versatile, Deployment-Aligned Framework for Quantization-aware Training and Distillation of LLMs

    Sep 30, 2026Weili Xu, Jisen Li, Yuqing Jian +8Large Language Model QuantizationQuantization-Aware Training

    Together AI · University of Illinois Urbana-Champaign · The University of Texas at Austin

  3. P4Q: Co-designing Token Pruning and Quantization for Vision-Language Model Acceleration

    Sep 28, 2026Haizhao Jing, Zhenhao Shang, Haokui Zhang +2Visual Token PruningLarge Language Model Quantization

    Northwest Polytechnical University · Intellifusion

  4. JustQuant: You Don't Need Smoothing, SVD, or Rotation for 4-Bit Activation Quantization

    Sep 27, 2026Kaicheng Yang, Kaisen Yang, Chunyu Liu +8Quantization-Aware TrainingInference Cost

    Shanghai Jiao Tong University · Tsinghua University · The Hong Kong Polytechnic University

  5. FairCompressAgent: An Agentic Framework for Fairness-Aware Model Compression for FPGA Deployment

    Sep 15, 2026Yuanbo Guo, Yiyu ShiCompressed ModelQuantization-Aware Training

    Department of Computer Science and Engineering University of Notre Dame Notre Dame, USA

  6. Quantum-Inspired Trainable and Parameter-Efficient Tensor Networks for Image Inpainting

    Sep 15, 2026Shiwen An, Konstantinos SlavakisTensor NetworksQuantization-Aware Training

    Institute of Science Tokyo, Department of Information and Communications Engineering, Yokohama, Japan

  7. Efficient Quantization-Aware Distillation with Cross-Modal Alignment for Edge Vision-Language Models

    Sep 15, 2026Jinwoo Jeon, GyuYeop Do, Yubin Lim +4Cross-Modal DistillationRecent Vision-Language Models

    Korea University · Seoul National University

  8. DSAQuant: Denoising-Stage-Aligned Quantization-Aware Training for Video Generation

    Sep 3, 2026Shuaiting Li, Zelin Gao, Haibin Shen +3Video Diffusion ModelsQuantization-Aware Training

    1Robbyant · 2ZJU · 4HKUST +1

  9. A Target-Centric Survey of Quantization-Aware Training

    Aug 30, 2026Jiamin Song, Mengjie Zhao, Zijing Wang +6Quantization-Aware TrainingSurvey

    1Northeastern University, China · 2Shandong University, China · 3CIS, LMU Munich; MCML, Germany

  10. FQTree: Fine-grained Quantization and Hardware Generation of Boosted Decision Trees

    Aug 12, 2026Zhiqiang Que, Chang Sun, Haiyang Wang +6Quantization-Aware TrainingField-Programmable Gate Arrays

    University of Bristol, UK · California Institute of Technology, USA · Imperial College London, UK

  11. SQuaT: Self-Supervised Knowledge Distillation via Student-Aware Quantized Teacher Features

    Aug 11, 2026HyeonJun Lee, Hyeonsik Jo, Jinwoo Chung +1Quantization-Aware TrainingKnowledge Distillation

    Kookmin University

  12. CAT-Q: Cost-efficient and Accurate Ternary Quantization for LLMs

    Jun 25, 2026Shigeng Wang, Chao Li, Yangyuxuan Kang +2Large Language Model QuantizationQuantization-Aware Training

    1Intel Labs China

  13. Quantization Inflates Reasoning: Token Inflation as a Hidden Cost of Low-Bit Reasoning Models

    Jun 24, 2026Xinyu Lian, Walid Krichene, Beichen Huang +4Large Language Model QuantizationQuantization-Aware Training

    University of Illinois Urbana-Champaign · Microsoft · Anyscale +1

  14. SwitchBraidNet: Quantisation-Aware Lightweight Architecture for Hybrid Brain-Computer Interface

    Jun 17, 2026Gourav Siddhad, Yogesh Kumar MeenaBrain-Computer InterfaceElectroencephalography

    Human-AI Interaction (HAIx) Lab, Indian Institute of Technology Gandhinagar, Gujarat, 382055, India

  15. Ternary Mamba: Grouped Quantization-Aware Training of W1.58A16 State Space Models

    Jun 16, 2026Ramprasath Ganesaraja, Sahil Dilip Panse, Swathika NQuantization-Aware TrainingState Space Models

    EdgeVerve Systems Limited

  16. ReQAT: Achieving Full-Precision Reasoning Accuracy with 4-bit Floating-Point Quantization-Aware Training

    Jun 14, 2026Janghwan Lee, Sihwa Lee, Jinseok Kim +4Quantization-Aware TrainingFp8

    1Hanyang University, 2Rebellions Inc., Republic of Korea.

  17. SPARK: Spatial Policy-driven Adaptive Reinforcement learning for Knowledge distillation

    Jun 13, 2026Mohamed Jismy Aashik Rasool, Shabir Ahmad, Gisong Oh +1Quantization-Aware TrainingKnowledge Distillation

    Department of IT Convergence Engineering, Gachon University, Sujeong-gu, Seongnam-si, Gyeonggi-do 461-701, Republic of Korea

  18. Trainability of IQP Quantum Circuit Born Machines Under Gaussian Initialization

    Jun 8, 2026Gennaro De Luca, Vinayak Sharma, Aviral ShrivastavaQuantum Machine LearningQuantum Circuits

    SCAI, Arizona State University

  19. Understanding Quantization-Aware Training: Gradients at Quantized Weights Bias to the Low-Loss Basin

    Jun 8, 2026Hanyang Li, Jianhao Ma, Ying CuiQuantization-Aware TrainingPost-Training Quantization

    Department of IEOR, University of California, Berkeley · Department of Statistics and Data Science, University of Pennsylvania

  20. On Low-Bit Quantization Errors in Speaker Verification: Diagnostic and Mitigation

    Jun 6, 2026Hugo Leguillier, Driss Matrouf, Guillaume Lechien +1Automatic Speaker VerificationQuantization-Aware Training

    Avignon University, LIA, UPR 4128, France · Aday, France

  21. Inner Product Aware Quantization: Provably Fast, Accurate, and Adaptive Algorithms

    May 29, 2026Nathan White, Krish SingalQuantization-Aware TrainingVectors

    University of Pennsylvania

  22. Not All NVFP4 QAT Recipes Are Equal: How Architecture and Scale Shape Model Quality for Anomaly Segmentation

    May 26, 2026Zijian Du, Oleg RybakovQuantization-Aware TrainingSwin

    NVIDIA

  23. Mapping the Schedule x Bit-Width Boundary in Sub-100M Quantisation-Aware Training

    May 25, 2026Christian Brandt ThomassenQuantization-Aware TrainingBatch

    Dwarf A/S, Copenhagen, Denmark

  24. Max-Window Scale Estimation for Near-Lossless HiF8 W8A8 Quantization-Aware Training

    May 25, 2026Yingying Cheng, Jinquan Shi, Li Zhou +4Quantization-Aware TrainingScaling

  25. JacQuant: STE-Free Quantization-Aware Training via Learned Jacobian Surrogates

    May 25, 2026Kai Yi, Vignesh Vivekraja, Harshit Khaitan +1Quantization-Aware TrainingGradient Quantization

    Meta AI

  26. Scale When Needed: Adaptive Neuron-level Mixed Precision Quantization Aware Training

    May 24, 2026Ayush K. Varshney, Konstantinos Vandikas, Šarūnas Girdzijauskas +2Mixed-Precision QuantizationQuantization-Aware Training

    Ericsson Research, Ericsson AB, Stockholm, Sweden · KTH Royal Institute of Technology, Stockholm, Sweden · RISE Research Institutes of Sweden, Stockholm, Sweden

  27. Quantized Machine Learning Models for Medical Imaging in Low-Resource Healthcare Settings

    May 19, 2026Sumanth Meenan Kanneti, Aryan ShahQuantization-Aware TrainingMobilenetv2

    Georgia State University · University of Southern California

  28. Quantum Sidecar Architectures for Hybrid AI Training and Inference: Stateful Protected Registers, Stateless Reset-and-Reprepare Circuits and Quantum Weight-State Outlook

    May 18, 2026Y. Mo, G. D. SuQubitQuantum Circuits

    Independent Researcher; BroadLink Co., Ltd. · Associate Professor, Hangzhou Dianzi University

  29. StatQAT: Statistical Quantizer Optimization for Deep Networks

    May 18, 2026Mehmet Aktukmak, Daniel Huang, Ke DingQuantization-Aware TrainingDeep Network

    Intel

  30. WinQ: Accelerating Quantization-Aware Training of Language Models Around Saddle Points

    May 17, 2026Dongyue Li, Zechun Liu, Kai Yi +6Quantization-Aware TrainingLarge Language Model Training

    1Northeastern University, MA · 2Meta AI, CA.

  31. BCJR-QAT: A Differentiable Relaxation of Trellis-Coded Weight Quantization

    May 11, 2026Venugopalan IyengarQuantization-Aware TrainingBackward Passes

  32. LAQuant: A Simple Overhead-free Large Reasoning Model Quantization by Layer-wise Lookahead Loss

    May 9, 2026Euntae Choi, Sumin Song, Sungjoo YooLarge Language Model QuantizationQuantization-Aware Training

    Seoul National University

  33. Saliency-Aware Regularized Quantization Calibration for Large Language Models

    May 7, 2026Yanlong Zhao, Xiaoyuan Cheng, Huihang Liu +6Large Language Model QuantizationPost-Training Quantization

    University of Science and Technology of China · University College London · 3Shanghai University of Finance and Economics +5

  34. Bridging the Training-Deployment Gap: Gated Encoding and Multi-Scale Refinement for Efficient Quantization-Aware Image Enhancement

    Apr 23, 2026Dat To-Thanh, Nghia Nguyen-Trong, Hoang Vo +2Quantization-Aware TrainingMobilenetv2

    University of Science, VNU-HCM, Vietnam · Vietnam National University, Ho Chi Minh City, Vietnam · University of Information Technology, VNU-HCM, Vietnam +2

  35. Efficient INT8 Single-Image Super-Resolution via Deployment-Aware Quantization and Teacher-Guided Training

    Apr 22, 2026Pham Phuong Nam Nguyen, Nam Tien Le, Thi Kim Trang Vo +1Quantization-Aware TrainingUpsampling

    University of Information Technology · 3Vietnam National University, Ho Chi Minh City · 2Ho Chi Minh City University of Technology

  36. Are Large Language Models Economically Viable for Industry Deployment?

    Apr 21, 2026Abdullah Mohammad, Sushant Kumar Ray, Pushkar Arora +5Rate ScalingQuantization-Aware Training

    DSEU-Okhla, New Delhi, India · University of Delhi, New Delhi, India · 6, 8Macquarie University, Sydney, Australia +1

  37. Gated Relational Alignment via Confidence-based Distillation for Efficient VLMs

    Jan 30, 2026Yanlong Chen, Amirhossein Habibian, Luca Benini +1Recent Vision-Language ModelsQuantization-Aware Training

    Department of Information Technology and Electrical Engineering, ETH Zurich, Zurich, Switzerland · School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore · Qualcomm AI Research, Amsterdam, the Netherlands +1

  38. QuantKAN: A Unified Quantization Framework for Kolmogorov Arnold Networks

    Nov 24, 2025Kazi Ahmed Asif Fuad, Lizhong ChenQuantization-Aware TrainingKolmogorov-Arnold Networks

    Department of EECS · Oregon State University · Corvallis, OR 97331

  39. SalQ-VLM: Fine-Grained Saliency-Guided Quantization for Vision-Language Models

    Aug 5, 2025Yufei Xue, Yushi Huang, Lunjie Zhu +2Recent Vision-Language ModelsQuantization-Aware Training

    Institute of Artificial Intelligence (TeleAI), China Telecom · The Hong Kong University of Science and Technology

  40. GPLQ: A General, Practical, and Lightning QAT Method for Vision Transformers

    Jun 13, 2025Guang Liang, Xinyao Liu, Jianxin WuQuantization-Aware TrainingSelf-Supervised Vision Transformers

    State Key Laboratory for Novel Software Technology, Nanjing University, China · School of Artificial Intelligence, Nanjing University, China · University of Science and Technology of China, Hefei, China

  41. LC-QAT: Data-Efficient 2-Bit QAT for LLMs via Linear-Constrained Vector Quantization

    Date pendingHaoyu Wang, Xingyu Yu, Haiyan Zhao +2Large Language Model QuantizationQuantization-Aware Training

    Department of Computer Science and Technology, Tsinghua University, Beijing, China · School of Software and Microelectronics, Peking University, Beijing, China · College of Computer Science and Technology, National University of Defense Technology, Hunan, China.