Quantizer

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8 papers in the last 28 days · 0.1% of indexed attention

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QuantizationLarge Language Model QuantizationWeight-Only QuantizationMixed-Precision QuantizationFull-Precision PerformanceFloating-PointSystematic Fp16 DivergenceExtreme Low-Bit Quantization

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Period ending 2026-09-21

3 new papers

A weekly snapshot of new work published in Quantizer.

Period ending 2026-09-14

4 new papers

A weekly snapshot of new work published in Quantizer.

Period ending 2026-09-07

7 new papers

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54 papers

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  1. Compression Hurts, Pooling Helps: Information Loss in Rayleigh-Scale Estimation from B-Mode Ultrasound

    Sep 17, 2026D. Hudson Smith, Ahmer RazaUltrasoundQuantizer

  2. A Calibrated Instrument for Measuring How Inference Optimizations Affect Output Quality

    Sep 16, 2026Jerry KaplanQuantifyingQuantizer

  3. Towards Surrogate Based Dequantization of Quantum Reinforcement Learning

    Sep 14, 2026Pablo Rodriguez-Grasa, Sofiene Jerbi, Mikel Sanz +1Q-LearningQuantizer

  4. Structured Transforms for Low-Overhead Quantization of Language Models

    Sep 11, 2026Daria Cherniuk, Alexander Rudikov, Boris Kashin +1Large Language Model QuantizationQuantizer

  5. A Note on Scaling in Randomly Rotated Quantization and Its Connection to the CDEF +1 Pythagorean Relation

    Sep 8, 2026Uri ErezQuantum Error CorrectionQuantizer

  6. KBBQ: A Predictive Noise Law and the Limits of Spectrum Flattening in FP4 Quantization

    Sep 8, 2026Lexington Whalen, Yuki Ito, Ryo SakamotoW4A4 QuantizationQuantizer

  7. From Ordered Bernoulli Levels to Critical-Line Geometry: Integer Quantization, Bernoulli Residual Phase, and Prime-Power Spectra

    Sep 3, 2026Y. Kenan YılmazRiemann Zeta FunctionQuantizer

  8. HBQ: Hierarchical Scaling Block Quantization with Hardware-Efficiency-Aware Design for Accurate LLM Inference

    Aug 31, 2026Chun-Ting Chen, Dongmin Han, Hangyeol Mun +6QuantizerLLM Inference Efficiency

  9. Language-Conditional Dequantization: Recovering What Quantization Steals from Non-English Languages

    Aug 12, 2026Nirmal ThomasLarge Language Model QuantizationQuantization

  10. Tied Trit-Planes: Constraining PTQTP to a Uniform Nine-Level Quantizer, with a Persistent Folded Format for Disk-Streamed Mixture-of-Experts Serving

    Aug 9, 2026Matteo GrellaLarge Language Model QuantizationQuantizer

  11. BaKron: Efficient Quantization with Kronecker-Factored Hessians

    Aug 6, 2026Johann Birnick, Rayan SaabQuantizerCondition Number

  12. NANQ: Noise-Floor-Aware Mixed-Precision Non-Uniform Quantization for Analog Compute-in-Memory

    Aug 3, 2026Yizhe Chen, Wenshuai Yao, Saiya Wang +6In-Memory ComputingMixed-Precision Quantization

  13. MixFrag: Fragility-Guided Mixed-Precision Post-Training Quantization for Vision Transformers

    Jul 30, 2026Md. Mehrab Hossain Opi, Robiul Islam Ryad, Md. Umar FarukMixed-Precision QuantizationSelf-Supervised Vision Transformers

  14. Interpretable Representation via LLM-Driven Generative Disentanglement for Local-Life Service Recommendation

    Jul 30, 2026Long Zhang, Hao Jiang, Sheng Yu +3RecommendationQuantizer

  15. Research Report on Noise-Shaped One-Bit Coefficients in Discrete Polynomial Fourier Extension

    Jul 26, 2026Shengquan WangFourierQuantizer

  16. VibeVoice-ASR-BitNet Technical Report

    Jul 23, 2026Songchen Xu, Ting Song, Shaohan Huang +10Real-Time InferenceQuantizer

  17. QuantiBias: Benchmarking Quantization-Induced Bias in LLMs

    Jul 23, 2026Emilio FerraraLarge Language Model BiasLarge Language Model Quantization

  18. VQ-Transplant: Efficient VQ-Module Integration for Pre-trained Visual Tokenizers

    Jul 21, 2026Xianghong Fang, Yuan Yuan, Dehan Kong +1Calibration-Free Low-Bit Vector QuantizationQuantizer

  19. 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

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

    Jul 8, 2026Vladimir GusevKey-Value CacheLLM Inference Efficiency

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

    Jul 3, 2026Hamish OgilvyLarge Language Model QuantizationQuantizer

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

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

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

    Jul 1, 2026O. M. KiselevQuantizerBoundary-Aware

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

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

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

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

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

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

  27. 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

  28. ScalePredictor: Instance-aware Scale Learning for Accurate Quantization of Vision Transformers

    Jun 20, 2026Changjun Li, Runqing Jiang, Lian Xu +3Vision TransformerQuantizer

  29. Techniques for Peak Memory Reduction for LoRA Fine-tuning of LLMs on Edge Devices

    Jun 17, 2026Hassan Dbouk, Matthias Reisser, Prathamesh Mandke +2Low-Rank AdaptationQuantizer

  30. Shift-and-Sum Quantization for Visual Autoregressive Models

    Jun 15, 2026Jaehyeon Moon, Bumsub HamVisual Autoregressive ModelsQuantizer

  31. Realizing Native INT8 Compute for Diffusion Transformers on Consumer GPUs: A Fused INT8 GEMM Kernel for Ideogram 4.0

    Jun 12, 2026Ali Asaria, Tony Salomone, Deep GandhiMultimodal Diffusion TransformersSystematic Fp16 Divergence

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

    Jun 9, 2026Juan Amboage, Pablo Monteagudo-Lago, Ian Colbert +2Weight-Only QuantizationQuantizer

  33. Minimum Distortion Quantization with Specified Output Distribution

    Jun 9, 2026Aolin XuRate-Distortion TheoryQuantizer

  34. Value-and-Structure Alignment for Routing-Consistent Quantization of Mixture-of-Experts Models

    Jun 4, 2026Hancheol Park, Geonho Lee, Tairen Piao +1QuantizerQuantization

  35. QuBLAST: A Framework for Quantizing Large Language Models with Block-Level Compression Approach and Activation Scaling Strategy

    Jun 3, 2026Pasindu Wickramasinghe, Achyuta Muthuvelan, Rachmad Vidya Wicaksana Putra +2Large Language Model QuantizationQuantizer

  36. DSIRM: Learning Query-Bridged Discrete Semantic Identifiers for E-commerce Relevance Modeling

    Jun 3, 2026Bokang Wang, Xing Fang, Mingmin Jin +4RelevanceQuantizer

  37. Perplexity Can Miss SAE Feature Damage Under Quantization

    Jun 2, 2026Evan DuanQuantizationQuantizer

  38. QVGGT: Post-Training Quantized Visual Geometry Grounded Transformer

    May 29, 2026Zhizhen Pan, Hesong Wang, Huan Wang3D PerceptionSelf-Supervised Vision Transformers

  39. Enhancing Human-Likeness in Reinforcement Learning Agents via Hierarchical Macro Action Quantization

    May 29, 2026M. Shaheer Luqman, Usman Nizamani, Fawad Javed Fateh +4Hierarchical Reinforcement LearningDeep Reinforcement Learning

  40. ThriftAttention: Selective Mixed Precision for Long-Context FP4 Attention

    May 21, 2026Joe SharrattEfficient Long-Context InferenceQuantizer

  41. Q-ARVD: Quantizing Autoregressive Video Diffusion Models

    May 20, 2026Siao Tang, Xinyin Ma, Gongfan Fang +2Autoregressive Video DiffusionQuantizer

  42. OScaR: The Occam's Razor for Extreme KV Cache Quantization in LLMs and Beyond

    May 19, 2026Zunhai Su, Rui Yang, Chao Zhang +11Key-Value Cache QuantizationKey-Value Cache Compression

  43. Quant.npu: Enabling Efficient Mobile NPU Inference for on-device LLMs via Fully Static Quantization

    May 19, 2026Jinghe Zhang, Daliang Xu, Chenghua Wang +5Weight-Only QuantizationNeural Processing Units

  44. Covariance Structure and Coordinate Heterogeneity Govern Binary Quantization of Contrastive Embeddings

    May 17, 2026Wenxuan XiaoQuantizerEmbedding Dimension

  45. Asymmetric Generative Recommendation via Multi-Expert Projection and Multi-Faceted Hierarchical Quantization

    May 14, 2026Bin Huang, Xin Wang, Junwei Pan +6Large-Scale Recommendation SystemsRecommendation

  46. Multi-Scale Dequant: Eliminating Dequantization Bottleneck via Activation Decomposition for Efficient LLM Inference

    May 13, 2026Lingchao Zheng, Yuwei Fan, Jun Li +5QuantizerSystematic Fp16 Divergence

  47. PACZero: PAC-Private Fine-Tuning of Language Models via Sign Quantization

    May 7, 2026Murat Bilgehan Ertan, Xiaochen Zhu, Phuong Ha Nguyen +2Parameter-Efficient Fine-TuningMembership Inference Attacks

  48. EdgeLPR: On the Deep Neural Network trade-off between Precision and Performance in LiDAR Place Recognition

    May 4, 2026Pierpaolo Serio, Hetian Wang, Zixiang Wei +4Visual Place RecognitionHeterogeneous Edge Devices

  49. Quantization Undoes Alignment: Bias Emergence in Compressed LLMs Across Models and Precision Levels

    May 2, 2026Plawan Kumar Rath, Rahul MaliakkalLarge Language Model QuantizationQuantization

  50. Quantamination: Dynamic Quantization Leaks Your Data Across the Batch

    Apr 29, 2026Hanna Foerster, Ilia Shumailov, Cheng Zhang +3Extreme Low-Bit QuantizationQuantizer

  51. A Note on TurboQuant and the Earlier DRIVE/EDEN Line of Work

    Apr 20, 2026Ran Ben-Basat, Yaniv Ben-Itzhak, Gal Mendelson +3QuantizerDrives

  52. Generative Refinement Networks for Visual Synthesis

    Apr 14, 2026Jian Han, Jinlai Liu, Jiahuan Wang +2Autoregressive Image GenerationDiffusion Refinement

  53. A Replicate-and-Quantize Strategy for Plug-and-Play Load Balancing of Sparse Mixture-of-Experts LLMs

    Feb 23, 2026Zijie Liu, Jie Peng, Jinhao Duan +7Load BalancingMixture-Of-Expert Inference

  54. From Global to Granular: Revealing IQA Model Performance via Correlation Surface

    Jan 29, 2026Baoliang Chen, Danni Huang, Hanwei Zhu +5Image Quality AssessmentSpearman Correlation