Mixed-Precision Quantization

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Period ending 2026-09-21

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  1. Contraction-Gauge Preconditioning for Quantized Matrix Multiplication

    Jul 21, 2026Piyush Sao, Narasinga Miniskar, Pedro Valero-Lara +2Matrix MultiplicationSpectral Preconditioning

  2. MXSens: Sensitivity-Aware Mixed-Precision Quantization for Efficient LLM Inference

    Jul 20, 2026Simla Burcu Harma, Danila Mishin, Zhengyuan Su +7Large Language Model QuantizationMixed-Precision Quantization

  3. Regularize or Localize: When Training-Time KV-Cache Geometry Pays Under Quantization

    Jul 19, 2026Libo Sun, Po-Wei Harn, Zewei Zhang +2Key-Value Cache QuantizationQuantization

  4. Cross-Layer Error Compensation and Finite-Sample Feature-Statistics Matching for Extreme Low-Bit Quantization of Large Language Models

    Jul 16, 2026Ryona NodaWeight-Only QuantizationExtreme Low-Bit Quantization

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

    Jul 16, 2026Hyunwoo Oh, Suyeon Jang, Hanning Chen +4Weight-Only QuantizationLLM Inference Efficiency

  6. Quantize with Confidence? An Empirical Study of Quantization for Code Generation

    Jul 15, 2026Saima Afrin, Md. Zahidul Haque, Antonio MastropaoloQuantizationCode Generation

  7. ExTernD: Expanded-Rank Ternary Decomposition Ternary LLM PTQ with Accuracy Approaching Any Quantization Level

    Jul 15, 2026Chethan Reddy G. PLarge Language Model QuantizationModel Weights

  8. Silent Alarm: A J-Space Protocol for Comparing Danger Recognition Across Models and Quantization Levels

    Jul 14, 2026Roman Prosvirnin, Victor Minchenkov, Alexey Soldatov +1Safety EvaluationDanger Recognition

  9. Saturation Makes Quantization Error Additive: A Coverage Model with a Certificate

    Jul 14, 2026Joshua HillMixed-Precision QuantizationSaturation

  10. Requential Coding: Pushing the Limits of Model Compression with Self-Generated Training Data

    Jul 13, 2026Shikai Qiu, Marc Finzi, Yujia Zheng +2Weight-Only QuantizationTraining Data

  11. Decomposing Runtime, Kernel, and Quantization Speedups via a Matched FP16 Intermediate: A Hardware-Conditioned Case Study on Four NVIDIA RTX A5000 GPUs

    Jul 13, 2026Weijia Han, Lisha QuSystematic Fp16 DivergenceQuantization

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

    Jul 13, 2026Peng Xia, Junbiao Pang, Muhammad Ayub SabirWeight-Only QuantizationQuantization

  13. Calibrated e-CUSUM Decoding for Quantized Reasoning Models: Why Token Log-Probability Is the Wrong Observable for Decoding Monitors

    Jul 13, 2026El Hassane Ettifouri, Ayoub Belfatmi, Mahaman Sanoussi Yahaya Alassan +1Large Language Model DecoderToken-Level Uncertainty

  14. Reliability Scaling Laws for Quantized Large Language Models

    Jul 12, 2026Sirine Ayadi, Sándor Daróczi, Stephan Günnemann +1Large Language Model QuantizationLarge Language Model Reliability

  15. A Symbolic Neural CPU for Quantization-Simulated Writeback and Interpretable Program Execution

    Jul 10, 2026Jose Luis Lima de Jesus SilvaNeuro-Symbolic FrameworkNeural Network Verification

  16. Model Guides You How to Draw: Adaptive Visual Gating for Unified Multimodal Reasoning

    Jul 10, 2026Wenxi Gao, Guanxi Lu, Didi Zhu +5Multimodal ReasoningAd

  17. Silent Failures in Quantized LLM Reasoning: A Taxonomy-Based Analysis of Hollow Convergence and Failure Mode Shifts

    Jul 10, 2026Renuka Oladri, Mohan Vamsi Varadaraju Priya, Jerry WuLarge Language Model QuantizationLarge Language Model Performance

  18. Workload-Driven Optimization for On-Device Real-Time Subtitle Translation

    Jul 10, 2026Tsz-To WongMachine Translation ModelsTokenization

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

    Jul 9, 2026Baha Rababah, Cuneyt Gurcan Akcora, Carson K. LeungLarge Language Model QuantizationIllusions

  20. BiSCo-LLM: Lookup-Free Binary Spherical Coding for Extreme Low-Bit Large Language Model Compression

    Jul 9, 2026Yuantian Shao, Peisong Wang, Zhilei Liu +6Large Language Model CompressionQuantizer

  21. The Silent Freeze: Predicting When Low-Precision Training Stops Learning

    Jul 9, 2026Zekai ShangFull-Precision PerformanceLearning Rates

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

    Jul 9, 2026Abdullah Al Shafi, Sumaiya Rahim SumaDiscrete Diffusion ModelQuantization

  23. Rethinking Small VLM Quantization: From Component-Wise Analysis to Hardware-Aware Edge Deployment

    Jul 9, 2026Hyeju Shin, Chorwon Kim, Ryangsoo Kim +2Large Language Model QuantizationNvidia Jetson Orin Nano

  24. KronQ: LLM Quantization via Kronecker-Factored Hessian

    Jul 8, 2026Donghyun Lee, Yuhang Li, Ruokai Yin +1Weight-Only QuantizationLarge Language Model Quantization

  25. GIFT: Geometry-Informed Low-precision Gradient Communication for LLM Pretraining

    Jul 8, 2026Jieying Wang, Shuyuan Fan, Mingkai Zheng +1Large Language Model QuantizationLarge Language Model Pretraining

  26. Fractal KV-Cache Archives: Lossless Symbolic Storage with In-Place Retrieval for Long-Context LLM Inference

    Jul 8, 2026Vladimir GusevKey-Value CacheLLM Inference Efficiency

  27. Dithered Gaussian Mechanism for Randomness-Efficient Differential Privacy

    Jul 7, 2026Nikita P. Kalinin, Rasmus PaghDifferential PrivacyRandom

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

    Jul 7, 2026Bowen Xue, Zihan Min, Xingyang Li +8Weight-Only QuantizationLLM Post-Training Methods

  29. Canonical quantization of neurons

    Jul 6, 2026Alexander He, Nana Liu, Mark M. WildeHybrid Quantum Neural NetworksN$-Qubit Stabilizer States

  30. Minimum Block Width for Universal Approximation by Residual Neural Networks with Inner Width One

    Jul 6, 2026Qi Zhou, Xuan Zhou, Xiao-Song YangNeural-Network ApproximationResidual Connections

  31. Full-Stack FP4: Stable LLM Pretraining with Quantized Projections, Optimizers, and Attention

    Jul 5, 2026Siyu Ding, Mingchuan Ma, Jiabo Tong +3Fp8Large Language Model Pretraining

  32. HiFA4: Training-Free 4-bit FlashAttention on Ascend HIF4 NPUs for LLM Inference

    Jul 5, 2026Hui Dong, Yanzhao Li, Jie Gao +5W4A4 QuantizationQuadratic Attention

  33. Variable Bit-width Quantization: Learning Per-Group Precision for "Bigger-but-Smaller" Language Models

    Jul 3, 2026Hamish OgilvyLarge Language Model QuantizationQuantizer

  34. OrbitQuant: Data-Agnostic Quantization for Image and Video Diffusion Transformers

    Jul 2, 2026Donghyun Lee, Jitesh Chavan, Duy Nguyen +5QuantizerMultimodal Diffusion Transformers

  35. Boundary-Aware Quantization: Finite-Scale Decision Geometry of Neural Classifiers

    Jul 1, 2026O. M. KiselevQuantizerBoundary-Aware

  36. How Should Transformers Encode Numeric Values in Electronic Health Records?

    Jul 1, 2026Maria Elkjær Montgomery, Christian Igel, Mikkel Odgaard +2Electronic Health RecordsTransformer Architectures

  37. Logb\text{Log}_\text{b}Quant: Quantizing Language Models in Logarithmic Space

    Jul 1, 2026Jeremias Bohn, Tizian Dippold, Mahdi Koubaa +2Large Language Model QuantizationX-Logsmask

  38. ZO-Act: Efficient Zeroth-Order Fine-Tuning via One-Shot Activation-Informed Low-Rank Subspaces

    Jul 1, 2026Xun Dong, Yibo Xu, Naigang Wang +3Continual Fine-TuningLarge Language Model Fine-Tuning

  39. Post-Training Pruning for Diffusion Transformers

    Jul 1, 2026Chengzhi Hu, Xuewen Liu, Jing Zhang +3Multimodal Diffusion TransformersHeterogeneous Pruning Scores

  40. Beyond Activation Alignment:The Alignment-Diversity Tradeoff in Task-Aware LLM Quantization

    Jul 1, 2026Fei Wang, Chao Xue, Taoran Liu +3Large Language Model QuantizationMixed-Precision Quantization

  41. GEAR: Guided End-to-End AutoRegression for Image Synthesis

    Jun 30, 2026Bin Lin, Zheyuan Liu, Chenguo Lin +8Autoregressive Image GenerationGenerative Models

  42. PrISM-IQA: Image Quality Assessment Made Practical for Smartphone Photography

    Jun 30, 2026Shuyan Zhai, Jiaqi He, Weixia Zhang +4Image Quality AssessmentSmartphone Photographs

  43. Zero-Shot Quantization for Object Detectors using Off-the-Shelf Generative Models

    Jun 30, 2026Hyunho Lee, Kyomin Hwang, Hyeonjin Kim +3QuantizerQuantization

  44. Benchmarking Large Language Models on Floating-Point Error Classification

    Jun 30, 2026Lisa Taldir, Muhammad Ahmad Saeed, David Defour +2Benchmarking Large Language ModelsFloating-Point

  45. Minimizing Quantized Semantic Age of Information (QSAoI) in Foundation Model-Based Semantic Communications

    Jun 30, 2026Huanyu Zhang, Yulin Hu, Xiaopeng Yuan +2Semantic CommunicationsWireless Resource Allocation

  46. Extrapolating from Regularised Solutions for Solving Ill-Conditioned Linear Systems in Machine Learning

    Jun 29, 2026Disha Hegde, Jon Cockayne, Chris. J. OatesRegularization TechniquesDiscrete-Time Linear Systems

  47. RiverONE: Generating Knowledge-Intensive VLM by Simulated Quantum Machines

    Jun 29, 2026Xindian Ma, Xinyu Long, Yefei Zhang +11Large Language Model QuantizationLarge Vision Language Models

  48. The Joint Effect of Quantization and Sampling Temperature on LLM Safety Alignment: A Factorial Analysis

    Jun 28, 2026Hari Prasad, Ritam PalLarge Language Model SafetyLarge Language Model Quantization

  49. W4A4 Quantization for Inference on Wan2.2-I2V-A14B

    Jun 28, 2026Yidong Chen, Chengyu Shi, Jiahao LiuW4A4 QuantizationLarge Language Model Quantization

  50. SEADA: An efficient methodology for optimizing mixed-precision DNNs on multi-precision spatial architectures

    Jun 26, 2026Leandro Fiorin, Marco Ronzani, Cristina SilvanoMixed-Precision QuantizationSparse Deep Neural Network Accelerators

  51. Spectral Perturbation of the Empirical Fisher Information Matrix under Weight Quantization

    Jun 26, 2026Rahid Zahid Alekberli, Hikmat KarimovFisher InformationQuantization

  52. Quantization in Federated Learning: Methods, Challenges and Future Directions

    Jun 25, 2026Farwa Ikram, Dipanwita Thakur, Antonella Guzzo +1Federated LearningQuantization

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

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

  54. SharQ: Bridging Activation Sparsity and FP4 Quantization for LLM Inference

    Jun 25, 2026Haoqian Meng, Yilun Luo, Yafei Zhao +4W4A4 QuantizationSparse Expert Activation

  55. Hierarchical Reinforcement Learning for Neural Network Compression (HiReLC): Pruning and Quantization

    Jun 24, 2026Kamar Hibatallah Baghdadi, Kawther Guoual Belhamidi, Sara Belhadj +2Context CompressionHierarchical Reinforcement Learning

  56. BitNet Text Embeddings

    Jun 24, 2026Zhen Li, Xin Huang, Liang Wang +8Domain-Invariant Text EmbeddingsEmbedder

  57. 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

  58. Neural Network Quantization by Learning Low-Loss Subspaces

    Jun 23, 2026Vladimir Protsenko, Mikhalina Kharkevich, Alexander Vashchilko +1QuantizationQuantum Neural Networks

  59. Large-Language-Model Discovery of Quantum LDPC Codes through Structured Concept Evolution

    Jun 23, 2026Zidu Liu, Florian MarquardtQuantum Error CorrectionSource-Channel Coding

  60. GRINQH: Graded Input-based Quantization Hierarchy for Efficient LLM Generation

    Jun 22, 2026Jette Oberländer, Jan Finkbeiner, Catherine M. Schöfmann +1Large Language Model QuantizationExtreme Low-Bit Quantization