Post-Training Quantization

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17 papers in the last four weeks, up 143% on the four weeks before. 0.2% of all new papers.

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  1. Beyond In-Distribution Preservation: Recovering Generalization in Quantized VLAs via Vulnerability-Oriented Tuning

    Oct 5, 2026Shen Ruan, Wenchang Gao, Jin Wang +4Post-Training QuantizationReinforcement Learning Post-Training

    Soochow University · Independent Researcher · Shanghai Jiao Tong University +2

  2. The Devil Is in the Reconstruction Loss Scale: Rethinking Optimization in LLM Quantization

    Oct 1, 2026Chao Li, Shigeng Wang, Anbang YaoPost-Training QuantizationLarge Language Model Quantization

    Intel Labs China

  3. RATIO: Reasoning Analysis and Token-level Inference Optimization for Quantized Reasoning Models

    Sep 30, 2026Chengzhu Bao, Xianglong Yan, Tianao Zhang +3Post-Training QuantizationLarge Reasoning Models

    Shanghai Jiao Tong University

  4. JARQ: Joint Alternating Refinement for Quantization

    Sep 29, 2026Xinyu Wang, Sicheng Lyu, Xiao-Wen ChangPost-Training QuantizationLanguage Model Perplexity

    McGill University

  5. Calibrate the Decisions That Change the Future: On-Policy Post-Training Quantization for Multimodal Large Language Models

    Sep 29, 2026Wenxiao Fan, Jingling Fu, Lichen Ma +6Post-Training QuantizationPost-Training

    School of Computer Science and Technology, Beijing Institute of Technology · Institute of Artificial Intelligence and Robotics, Xi’an Jiaotong University

  6. From Attention Sensitivity to Layer Role: Revisiting Mixed-Precision Quantization of Transformers

    Sep 28, 2026Nafiseh HosseinpourFardi, Negar Alihadi, Mahmoudreza Babaei +2Post-Training QuantizationMixed-Precision Quantization

    Sharif University of Technology, Tehran, Iran · GISMA University of Applied Sciences, Potsdam, Germany · BRAINS, Brandenburg Research Center for Applied Intelligent Systems, Potsdam, Germany +3

  7. Beyond Reconstruction Loss in Post-Training Quantization: Balanced Fitting for Large Vision-Language Models

    Sep 28, 2026Minchan Kang, Kyeonghye Park, Seungyeon Sa +3Post-Training QuantizationRecent Vision-Language Models

    Korea Advanced Institute of Science and Technology (KAIST) · Hanbat National University

  8. QuantForge: Discovering Residual Decompositions for MXFP4 Post-Training Quantization

    Sep 28, 2026Qiulin Shang, Zhoutong Wu, Jie Hu +1Post-Training QuantizationPost-Training

    Peking University

  9. AERIAL: Adversarial Evaluation of Robustness in Accuracy-Preserving Low-Precision EEG Decoders

    Sep 24, 2026Saim Rehman, Muhammad ShafiqueBrain-Computer InterfaceElectroencephalography Decoding

    eBRAIN Lab, Division of Engineering, New York University Abu Dhabi (NYUAD), Abu Dhabi, UAE

  10. Same Bit Width, Different Outcomes: Post-Training Quantization of Text-to-Speech Across Architectures

    Sep 24, 2026Se Un Park, Yutae Kim, Junyoung ParkPost-Training Quantization

    UX Factory, Inc.

  11. Predicting Quantization Price for Selecting PTQ Configurations Before Deployment

    Sep 23, 2026Junbin Qiu, Jian Mu, Weitong Zhang +1Post-Training QuantizationPrices

  12. RGSQ: Riemannian Geometry-Sensitive Quantization for Large Vision-Language Models

    Sep 21, 2026Zhiping Wu, Dongdong Ren, Yangchengyu Zhou +4Large Language Model QuantizationPost-Training Quantization

    State Key Laboratory for Novel Software Technology and the School of Intelligence Science and Technology, Nanjing University, Suzhou Campus, Suzhou 215163, China

  13. VLAQuantBench: Closed-Loop Evaluation of Post-Training Quantization for Vision-Language-Action Models

    Sep 21, 2026Jiuyi Xu, Qing Jin, Meida Chen +3Post-Training QuantizationClosed Loop

    Colorado School of Mines · Independent Researcher · University of Central Florida +2

  14. FoldQuantVLA: Native Low-Bit Quantization of Vision-Language-Action Models via Consistent Folding

    Sep 21, 2026Hung T. Ho, Khanh D. Nguyen, Quang D. Nguyen +5Post-Training QuantizationFast Inference

    VinRobotics, Vietnam · AICV Lab, EECS Department, University of Arkansas · School of Advanced Manufacturing and Robotics, Peking University, China +2

  15. Global Ranks Survive, Selected Heads Shift: BOS-Sink Topology under 4-bit Weight-Only Quantization

    Sep 20, 2026Kuanlin Chen, Chen-Wei Kuo, Cheng-En OuPost-Training QuantizationMatched Fp16 Intermediate

    Independent Researcher Taoyuan, Taiwan · National Tsing Hua University Hsinchu, Taiwan

  16. Channel-Wise and Token-Aware Post-Training Quantization for Visual State Space Duality

    Sep 15, 2026Jonghyeon Lim, Changhoon YimPost-Training QuantizationVision State Space Models

    Intelligent Image Processing Laboratory · Department of Computer Science and Engineering, Konkuk University · Seoul, Republic of Korea

  17. Where Post-Training Quantization Breaks Text Embedders: A Measured Map Across Four Embedder Families

    Sep 14, 2026Hyojung HanPost-Training QuantizationLarge Language Model Quantization

    ThakiCloud

  18. Why Does Post-Training Quantization Work?

    Sep 10, 2026Yuxiang Chen, Michael Beyer, Jun Zhu +1Post-Training QuantizationQuantized

    Dept. of Comp. Sci. and Tech., Institute for AI, BNRist Center, THBI Lab, Tsinghua-Bosch Joint ML Center, Tsinghua University · College of AI, Tsinghua University · Bosch AI Research, Renningen, Germany

  19. SCULPT: Training Edge Vision Models for Post-Training Quantization Readiness

    Sep 1, 2026Bharadwaj Kavuri, Sourav Babu-PK, Varadhraj Ellapan +2Post-Training QuantizationGradient Clipping

    Valeo Vision Systems, Tuam, Ireland · Valeo India Pvt. Ltd, Chennai, India

  20. QTEA: Ternary LLMs with Sparse Residual Salient Weight and By-Column Optimization

    Aug 31, 2026Yipin Guo, Arun M George, Jie Fu +3Post-Training Quantization

    University of Notre Dame

  21. TopGQ: Fast GNN Post-Training Quantization Leveraging Topology Information

    Aug 31, 2026Dain Kwon, Kanghyun Choi, Hyeyoon Lee +4Post-Training QuantizationGraph Neural Networks

    Seoul National University Seoul, South Korea

  22. When Local Variance Optimality Is Not Enough: RoPE-Aligned Q/K Rotations for Dynamic 4-Bit Quantisation

    Aug 13, 2026Shuhan Wang, Yilin Luo, Nan Xu +1Post-Training QuantizationRotary Position Embedding

  23. Calibration Bets on the Past: Post-Training Quantization for Financial Time-Series Forecasting

    Aug 12, 2026Junyi Ye, Ivy Gateri WanjikuPost-Training QuantizationTime Series Forecasting

    School of Computing, Montclair State University · Montclair, New Jersey, USA

  24. ReRound: Reconstructive Rounding to Resolve Midpoint Ambiguity in Calibration-Free LLM Quantization

    Aug 11, 2026He-Yen Hsieh, H. T. KungPost-Training QuantizationMedium

    Harvard University

  25. From Sweep to Seam: Interleaved Cross-Block Post-Training Quantization

    Aug 10, 2026Achille Jacquemond, Yuma Ichikawa, Akira SakaiPost-Training Quantization

    Fujitsu Limited · RIKEN Center for AIP · Tokai University

  26. Quantization Degradation in Large Language Models: A Signal-Noise Perspective

    Aug 8, 2026Chenxi Zhou, Pengfei Cao, Jinyu Ye +5Large Language Model QuantizationPost-Training Quantization

    School of Advanced Interdisciplinary Sciences, University of Chinese Academy of Sciences, Beijing, China · The Key Laboratory of Cognition and Decision Intelligence for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China · School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China +1

  27. PTQ4SNN: Membrane-Aware Post-Training Quantization for Spiking Neural Networks

    Aug 7, 2026Hui Xie, Tong Shi, Haotong Qin +3Spiking Neural NetworksPost-Training Quantization

    State Key Laboratory of Complex & Critical Software Environment, Beihang University · School of Artificial Intelligence, Beihang University · Center for Project-Based Learning, D-ITET, ETH Zurich +2

  28. ReQuant: Fixed-Grid Discrete Refinement for Post-Training Quantization

    Aug 7, 2026Yongge Ma, Guoan Wang, Feiyu Wang +5Post-Training QuantizationQantis

    School of Computer Science, Peking University · School of Software and Microelectronics, Peking University · School of Physics, Peking University +2

  29. One Qubit Can Beat One Bit: Quantum Advantage for Post-Training Quantization

    Aug 5, 2026Yuma Ichikawa, Moeto MishimaQubitPost-Training Quantization

    Fujitsu Limited, RIKEN for AIP · RIKEN for AIP · Fujitsu Limited

  30. Low-Dimensional High-Leverage Subspace Optimization: Beyond Full-Parameter Coupled Training for Neural Network Quantization

    Aug 4, 2026Peng Xia, Junbiao Pang, Zheng HuangPost-Training QuantizationSubspace

    School of Information Science and Technology, Beijing University of Technology, Beijing, China

  31. Attend to Your Own Thoughts: Breaking the Barrier for Post-Training Quantization of Reasoning LLMs through the Lens of 1.58-Bit Quantization

    Aug 2, 2026Shigeng Wang, Chao Li, Yangyuxuan Kang +2Large Language Model QuantizationPost-Training Quantization

    Intel Labs China

  32. QuantWAMs: Calibrating at the Right Granularity for World Action Models

    Jul 30, 2026Jiacheng Zhou, Jinfan Lv, Ruixuan Li +4Post-Training QuantizationWorld Models

    College of Intelligent Robotics and Advanced Manufacturing, Fudan University · School of Data Science and Engineering, East China Normal University · Shanghai Key Lab of Intelligent Information Processing, College of Computer Science and Artificial Intelligence, Fudan University

  33. Bit-Accurate FPGA Evaluation of Learned Feature Gating in a Fixed-Point Fourier-Feature Automatic Modulation Classifier

    Jul 27, 2026Gawthaman Senthilvelan, Luthira AbeykoonField-Programmable Gate ArraysClassifier

    University of Toronto · Toronto, Canada

  34. Same Predictions, Different Reasons: The Effect of Quantization on Model Explanations

    Jul 24, 2026Kazi Kamruzzaman Rabbi, Md. Zami Al Zunaed Farabe, M. Sohel RahmanPost-Training QuantizationQuantized

    BRAC University, Dhaka, Bangladesh · Department of Computer Science and Engineering, Bangladesh University of Engineering and Technology (BUET), Dhaka, Bangladesh

  35. KroQuant: Kronecker-Structured Block Transforms for Efficient Post-Training Quantization of Diffusion Transformers

    Jul 23, 2026Yann Bouquet, Alireza Khodamoradi, Kristof Denolf +1Post-Training QuantizationDiffusion Transformers

    EPFL, Lausanne, Switzerland. · Advanced Micro Devices, Inc., Longmont, CO, USA.

  36. Recti-Q: Feature-Space Rectification for Out-of-Distribution-Robust Quantized Perception in Edge Robotics

    Jul 20, 2026Hamidreza Yaghoubi Araghi, Parastoo Pilevar, Ming C. LinRobotic PerceptionPost-Training Quantization

    University of Maryland, College Park, MD, USA

  37. PolyQ: Codesigning End-to-End Quantization Framework for Scalable Edge CPU LLM Inference

    Jul 16, 2026Hyunwoo Oh, Suyeon Jang, Hanning Chen +4Post-Training Quantization

    University of California, Irvine

  38. Efficient Tuning Before Low-Bit Post-Training Quantization for Stochastic Gradient Descent-optimized Models

    Jul 13, 2026Peng Xia, Junbiao Pang, Muhammad Ayub SabirPost-Training QuantizationQuantized

    School of Information Science and Technology, Beijing University of Technology, Beijing 100124, China

  39. The Illusion of Equivalency: Statistical Characterization of Quantization Effects in LLMs

    Jul 9, 2026Baha Rababah, Cuneyt Gurcan Akcora, Carson K. LeungLarge Language Model QuantizationPost-Training Quantization

    Department of Computer Science, University of Manitoba, Canada · AI Initiative, University of Central Florida, USA

  40. Closing the Null Space: Guidance-Aware Quantization for Classifier-Free Diffusion

    Jul 9, 2026Abdullah Al Shafi, Sumaiya Rahim SumaClassifier-Free GuidancePost-Training Quantization

    Department of Computer Science and Engineering Khulna University of Engineering & Technology Khulna-9203, Bangladesh

  41. KronQ: LLM Quantization via Kronecker-Factored Hessian

    Jul 8, 2026Donghyun Lee, Yuhang Li, Ruokai Yin +1Large Language Model QuantizationPost-Training Quantization

    University of Southern California · Yale University

  42. FourTune: Towards Fully 4-Bit Efficient Post-Training for Diffusion Models

    Jul 7, 2026Bowen Xue, Zihan Min, Xingyang Li +8Post-Training QuantizationDiffusion Models

    Nunchux AI · MIT · Stanford +2

  43. HyperQuant: A Rate-Distortion-Optimal Quantization Pipeline for Large Language and Diffusion Models

    Jun 22, 2026Yuval Domb, Hadar Sackstein, Tomer SolbergPost-Training QuantizationQantis

  44. An Empirical Study of OpenPangu Quantization on Ascend NPUs

    Jun 19, 2026Tong Shi, Jiacheng Wang, Hui Xie +4Post-Training QuantizationNeural Processing Units

    State Key Laboratory of Complex & Critical Software Environment, Beihang University · School of Artificial Intelligence, Beihang University · School of Computer Science and Engineering, Beihang University

  45. Mix-QVLA: Task-Evidence-Aware Mixed-Precision Quantization of Vision-Language-Action Models

    Jun 17, 2026Navin Ranjan, Andreas SavakisMixed-Precision QuantizationPost-Training Quantization

    Rochester Institute of Technology Rochester, New York 14623, USA

  46. TWLA: Achieving Ternary Weights and Low-Bit Activations for LLMs via Post-Training Quantization

    Jun 11, 2026Zhixiong Zhao, Zukang Xu, Zhixuan Chen +3Large Language Model QuantizationPost-Training Quantization

    Houmo AI, China · 2Southeast University, Nanjing, China

  47. Multi-Bitwidth Quantization for LLMs Using Additive Codebooks

    Jun 11, 2026Liza Babaoglu, Shuangyi Chen, Ashish KhistiLarge Language Model QuantizationPost-Training Quantization

    University of Toronto

  48. Holding the FP8 Quality Ceiling at 8-Bit Weights and Activations: INT8 and GGUF Post-Training Quantization of Ideogram 4.0 for Consumer GPUs

    Jun 10, 2026Deep Gandhi, Ali Asaria, Tony SalomonePost-Training QuantizationSentence Encoders

    Transformer Lab

  49. DynamicPTQ: Mitigating Activation Quantization Collapse via Residual-Stream Dynamics

    Jun 10, 2026Zimo Zhao, Maolin Wang, Bowen Yu +3Post-Training QuantizationMixed-Precision Quantization

    City University of Hong Kong · Hong Kong, China · Zhejiang University of Technology +1

  50. Optimal Post-Training Quantization Scales and Where to Find Them

    Jun 9, 2026Juan Amboage, Pablo Monteagudo-Lago, Ian Colbert +2Post-Training QuantizationQuantizer

    AMD

  51. 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

  52. FAIR-Calib: Frontier-Aware Instability-Reweighted Calibration for Post-Training Quantization of Diffusion Large Language Models

    Jun 4, 2026Haoyu Huang, Linlin Yang, Sheng Xu +5Post-Training QuantizationDiffusion Language Models

    National College for Excellent Engineers, Beihang University, Beijing, China · State Key Laboratory of Media Convergence and Communication, Communication University of China, Beijing, China · Independent researcher +4

  53. STaR-Quant: State-Time Consistent Post-Training Quantization for Diffusion Large Language Models

    Jun 3, 2026Xin Yan, Aqiang Wang, Zhenglin Wan +2Large Language Model QuantizationPost-Training Quantization

    School of Artificial Intelligence, Beijing Normal University, Beijing, China · Department of Computer Science, National University of Singapore, Singapore · Centre for Frontier AI Research, Agency for Science, Technology and Research (A*STAR), Singapore

  54. MorphoQuant: Modality-Aware Quantization for Omni-modal Large Language Models

    Jun 3, 2026Yue Wu, Changyuan Wang, Zixuan Wang +2Post-Training QuantizationOmni-Modal

  55. Qift: Shift-Friendly No-Zero W2 Post-Training Quantization for Rotated W2A4/KV4 LLM Inference

    Jun 1, 2026Chi-Wei Huang, Chia-Chi TsaiPost-Training QuantizationModel Weights

    National Cheng Kung University

  56. Massive Spikes in LLMs are Bias Vectors: Mechanistic Uncovering and Spike-Free Quantization

    Jun 1, 2026Yung-Chin Chen, Chung Peng Lee, Ze-Wei Liou +1Large Language Model QuantizationPost-Training Quantization

    Princeton University, NJ, USA · EnCharge AI, CA, USA

  57. GPTQ-intrinsic LoRA: A Near-optimal Algorithm for Low-precision Quantization with Low-rank Adaptation

    May 31, 2026Shihao Zhang, Rayan SaabPost-Training QuantizationLow-Rank Structure

    Department of Mathematics, University of California San Diego

  58. Boundary-Protection W8A8 HiFloat8 Quantization for Large-Scale Text-to-Video Diffusion Transformers

    May 31, 2026Yiming ZhaoText-To-Video Diffusion ModelsVideo Diffusion Models

    University of Chinese Academy of Sciences Beijing, China

  59. ProjQ: Project-and-Quantize for Adapter-Aware LLM Compression

    May 30, 2026Wenya Yu, Chao Zhang, Li Wang +2Large Language Model QuantizationPost-Training Quantization

    School of Mathematics and Statistics, Central South University, Changsha, China · Department of Computer Science, Central South University, Changsha, China · CRAN, Université de Lorraine, CNRS, Nancy, France +1

  60. HARP: Hadamard-Preconditioned Adaptive Rotation Processor for Extreme LLM Quantization

    May 28, 2026Artur Zagitov, Gleb Molodtsov, Aleksandr BeznosikovPost-Training QuantizationLarge Language Model Quantization

    1MIRAI · 2BRAIn Lab · 3Innopolis University