Mixed-Precision Quantization

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Period ending 2026-09-21

15 new papers

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Period ending 2026-09-14

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Period ending 2026-09-07

12 new papers

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  1. Gromov-Wasserstein Quantization and Clustering: Structure, Rates, and Algorithms

    Aug 11, 2026Florian Beier, Stephan EcksteinGromov--WassersteinK-Means

  2. Hand-Written PTX Tensor-Core GEMM Kernels: A Multi-Precision Study on NVIDIA L4

    Aug 10, 2026Matt J. Borowski, Blazej OsinskiTensor ProgramsGraphics Processing Unit Kernels

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

    Aug 10, 2026Achille Jacquemond, Yuma Ichikawa, Akira SakaiWeight-Only Quantization

  4. 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

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

    Aug 8, 2026Chenxi Zhou, Pengfei Cao, Jinyu Ye +5Large Language Model QuantizationQuantization

  6. RotaryQuant: Fitting 120B MoE Models on Consumer Hardware via Fused Compressed-Space Attention

    Aug 8, 2026Anthony. Lui, Mohamed. Elsaied, N. P. SavaniMixed-Precision QuantizationQuadratic Attention

  7. SPECTRA: Pushing the KV Cache Beyond the 2-Bit Cliff via Spectral Transform Coding

    Aug 8, 2026Jiamu Zhang, Liang Wu, Kelly Wan +2Key-Value CacheCache

  8. CurveFP: Co-Designing Numerical Representation and Product Arithmetic for Language Models

    Aug 8, 2026Ye QiaoFull-Precision PerformanceArithmetic

  9. MAUPITI: On-Device Prototype-Based Learning on a Smart Infrared Sensor

    Aug 7, 2026Beatrice Alessandra Motetti, Tanguy Dugas du Villard, Matteo Risso +7Learnable PrototypesVision Sensors

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

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

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

    Aug 7, 2026Yongge Ma, Guoan Wang, Feiyu Wang +5Weight-Only QuantizationQuantization

  12. MiCoPro: End-to-End Mixed Precision HW/SW Co-design with HW-aware Proxy Model

    Aug 7, 2026Zijun Jiang, Yangdi LyuMixed-Precision QuantizationSparse Deep Neural Network Accelerators

  13. Which Decisions Low-Bit Quantization Breaks, and How to Predict Them

    Aug 6, 2026Zekun Wu, Swati Dhiman, Adriano KoshiyamaQuantizationDecisions

  14. BaKron: Efficient Quantization with Kronecker-Factored Hessians

    Aug 6, 2026Johann Birnick, Rayan SaabQuantizerCondition Number

  15. How Much Reconstruction Does Quantum Machine Learning Need? Late Fusion of Independently Trained Quantum Subcircuits

    Aug 6, 2026Prabhjot Singh, Adel N. Toosi, Rajkumar BuyyaQuantum Machine LearningQuantization

  16. APQF: Agentic Profiling-Guided Structured Pruning and Mixed-Precision Quantization with Adaptive Fine-Tuning

    Aug 6, 2026Sadegh Jafari, Mohiuddin Bilwal, Fan Zhou +2Mixed-Precision QuantizationHeterogeneous Pruning Scores

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

    Aug 5, 2026Yuma Ichikawa, Moeto MishimaQuantum AdvantageQubit

  18. Separating quantum circuits from classical LLMs

    Aug 4, 2026Srinivasan Arunachalam, Arkopal Dutt, Hari Krovi +1Quantum Circuit SimulationLarge Language Model Quantization

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

    Aug 4, 2026Peng Xia, Junbiao Pang, Zheng HuangWeight-Only QuantizationSpectral Preconditioning

  20. DUD: Decoupled Update Dynamics for Reliable Uncertainty Quantification in Large Language Models

    Aug 4, 2026Yixin Bu, Runze Xia, Guanyun Zou +3Large Language Model UncertaintyReliable Uncertainty Quantification

  21. Recurrent Residual Quantization: A Progressive Multi-Precision Representation for LLMs

    Aug 4, 2026Yu Luo, Bo Dong, Wenhua Cheng +1Large Language Model QuantizationQuantization

  22. ARCHead: Activation-Metric Residual Correction for Large Language Model Output Heads

    Aug 3, 2026Şuayp Talha Kocabay, Talha Rüzgar Akkuş, Kamer Ali YukselLarge Language Model QuantizationWeight-Only Quantization

  23. 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

  24. One QK Channel, Many Sources: Guarding Low-Precision Attention Collapse

    Aug 3, 2026Shuxiao Xie, Shuyang Xie, Yuan Cao +3Systematic Fp16 DivergenceChannel

  25. FOCUS: FP4 Optimization via Coupled-Relaxation and Dual-Granularity Scaling

    Aug 3, 2026Xianglong Yan, Hong Liu, Chengzhu Bao +4W4A4 QuantizationFp8

  26. 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 QuantizationLarge Language Model Reasoning

  27. Proteus: A Truncation-Robust Entropy Model for Progressive LiDAR Compression

    Aug 1, 2026Yihan Qiu, Xiaodong Lin, Baoquan Zhao +2Light Detection And RangingSource-Channel Coding

  28. Studying quantization trade-offs for efficient inference deployment in machine translation

    Jul 31, 2026Jim Zhao, Sohir Maskey, Koen Oostermeijer +2Large Language Model QuantizationLLM Inference Efficiency

  29. MOSAIC: Masked Outsourcing of Secure AI Computations

    Jul 31, 2026James Hsin-yu Chiang, Sheila Zingg, Kari Kostiainen +1Online InferenceTrustworthy Artificial Intelligence

  30. 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

  31. CACHE-UK: A Stability-Aware Memory Editor for Sequentially Updated Quantized LLMs in Finance

    Jul 30, 2026Anubhav Lakra, Yue FengLarge Language Model QuantizationLarge Language Model Memory

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

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

  33. Flat Score, Amplified Failures: How the Error Budget Masks Damage in Quantized LLM Agents

    Jul 29, 2026Jiwon Jang, Kisu Yang, Heuiseok Lim +1Large Language Model QuantizationQuantization

  34. From Tokens to Watt-hours: Analytical Energy Estimation for LLM Inference on Modern GPUs

    Jul 29, 2026Tina Vartziotis, Rodopi Kosteli, Elli Vartziotis +5LLM Inference EfficiencyNvidia Nemotron

  35. HiFloat4 Format for End-To-End Reinforcement Learning Post-Training of Large Language Models

    Jul 29, 2026Hei Yi Mak, Shadan Golestan, Hoang Le +10Fp8Full-Precision Performance

  36. How Small Can You Go? A Controlled Study of LoRA Rank, Target Modules, and Quantization Trade-offs for Text-to-SQL on a 60M-Parameter Model

    Jul 28, 2026Mahendra Singh Rathor, Anagheem AzzamLarge Language Model QuantizationParameter-Efficient Fine-Tuning

  37. Bits and Memories: Measuring Verbatim Extraction Across LLM Quantization

    Jul 28, 2026Akshay SasiLarge Language Model QuantizationQuantization

  38. Stable FP4 Training via Transposition-Invariant Block Quantization

    Jul 27, 2026Mehdi Rahimifar, Amin Darabi, Mehran Taghian Jazi +6W4A4 QuantizationFp8

  39. Bigger or Cheaper? Scale and Quantization Effects on Uncertainty Signals in Vision-Language Models Under Image Degradation

    Jul 27, 2026M M Asif FerdousLarge Vision Language ModelsLarge Language Model Quantization

  40. MXAttention: Data-Free Optimal Scaling and Pre-Normalization Quantization for MXFP4 Attention

    Jul 27, 2026Jianlin Yu, Jing Lin, Linghui Kong +13W4A4 QuantizationPre-Trained Video Diffusion Models

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

    Jul 26, 2026Shengquan WangFourierQuantizer

  42. Formally Verified Synthesizable Floating-Point Data Types in ARCH HDL

    Jul 26, 2026Shuqing ZhaoFloating-PointSystematic Fp16 Divergence

  43. When Can Depth Replace Precision? A Resource Theory of Quantized Neural Computation

    Jul 25, 2026Mojtaba SoltanalianFull-Precision PerformanceComputational Cost

  44. MixQuant: Adaptive Mixed-Precision Quantization for Large Language Models

    Jul 25, 2026Ashitabh Misra, Madhav Agrawal, Arham Jain +1Mixed-Precision QuantizationLow-Bit

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

    Jul 24, 2026Kazi Kamruzzaman Rabbi, Md. Zami Al Zunaed Farabe, M. Sohel RahmanWeight-Only QuantizationQuantization

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

    Jul 23, 2026Yann Bouquet, Alireza Khodamoradi, Kristof Denolf +1Weight-Only QuantizationQuantization

  47. Hardware-Software Co-Design for Float16 On-Device Training on RISC-V Single-Core

    Jul 23, 2026Benjamin Hubinet, Pierre-Alain Moellic, Olivier Savry +2Risc-VSystematic Fp16 Divergence

  48. C-PTQ: Fisher-weighted Channel-wise Sensitivity for Post-training Quantization of MLLMs

    Jul 23, 2026Jiameng Li, Han Zhou, Matthew B. BlaschkoWeight-Only QuantizationQuantization

  49. VibeVoice-ASR-BitNet Technical Report

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

  50. QuantiBias: Benchmarking Quantization-Induced Bias in LLMs

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

  51. Beyond Independent Optimization: Compression, MoE Routing, and Quantization Interactions in Multimodal Edge Intelligence

    Jul 23, 2026Jay Gor, Karm Dave, Akshita Abrol +3Heterogeneous Edge DevicesMixture-of-Experts Models

  52. GaugeQuant: Online Learning of Quantization-Optimal Bases from LLM Symmetries

    Jul 22, 2026Miguel P. Bento, João F. SeabraW4A4 QuantizationGauge

  53. 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-TimePost-Hoc

  54. From Bit-Position Sensitivity to Unequal Error Protection for DNN Inference Memory

    Jul 21, 2026Muhammad Husnain Mubarik, Karthik Mohan Kumar, Pedro Antonio Pena +2Graph Neural Network InferenceSystematic Fp16 Divergence

  55. 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

  56. Contraction-Gauge Preconditioning for Quantized Matrix Multiplication

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

  57. 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

  58. 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

  59. 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

  60. 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