Mixed-Precision Quantization

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Period ending 2026-09-21

15 new papers

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Period ending 2026-09-14

13 new papers

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Period ending 2026-09-07

12 new papers

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  1. The Illusion of Equivalence: Systematic FP16 Divergence in KV-Cached Autoregressive Inference

    Apr 16, 2026Ranjith Chodavarapu, Lei XuSystematic Fp16 DivergenceKey-Value Cache Quantization

  2. When Flat Minima Fail: Characterizing INT4 Quantization Collapse After FP32 Convergence

    Apr 16, 2026Marcus ArmstrongQuantizationLLM Post-Training Methods

  3. Robust Ultra Low-Bit Post-Training Quantization via Stable Diagonal Curvature Estimate

    Apr 15, 2026Jaemin Kim, Sungkyun Kim, Junyeol Lee +1Weight-Only QuantizationQuantization

  4. Generative Refinement Networks for Visual Synthesis

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

  5. Attention-Weighted Value Projection for KV-Cache Compression

    Apr 13, 2026Samuel SalfatiKey-Value Cache QuantizationExtreme Low-Bit Quantization

  6. Leech Lattice Vector Quantization for Efficient LLM Compression

    Mar 11, 2026Tycho F. A. van der Ouderaa, Mart van Baalen, Paul Whatmough +1Large Language Model QuantizationLarge Language Model Compression

  7. Lipschitz-Based Robustness Certification Under Floating-Point Execution

    Mar 6, 2026Toby MurrayFloating-PointLipschitz Constant

  8. Bitwise Systolic Array Architecture for Runtime-Reconfigurable Multi-precision Quantized Multiplication on Hardware Accelerators

    Feb 26, 2026Yuhao Liu, Salim Ullah, Akash KumarSparse Deep Neural Network AcceleratorsMixed-Precision Quantization

  9. 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

  10. Quantum Maximum Likelihood Prediction via Hilbert Space Embeddings

    Feb 20, 2026Sreejith Sreekumar, Nir WeinbergerQuantum Machine LearningLarge Language Model Quantization

  11. QTALE: Quantization-Robust Token-Adaptive Layer Execution for LLMs

    Feb 11, 2026Kanghyun Noh, Jinheon Choi, Yulhwa KimLarge Language Model QuantizationLarge Language Model Serving

  12. Investigating Social Bias Changes in Quantized Language Models

    Feb 5, 2026Stanley Z. Hua, Sanae Lotfi, Irene Y. ChenLarge Language Model QuantizationLarge Language Model Bias

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

    Jan 30, 2026Yanlong Chen, Amirhossein Habibian, Luca Benini +1Large Vision Language ModelsLarge Language Model Quantization

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

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

  15. Preserving Fairness and Safety in Quantized LLMs Through Critical Weight Protection

    Jan 17, 2026Muhammad Alif Al Hakim, Alfan Farizki Wicaksono, Fajri KotoLarge Language Model QuantizationLarge Language Model Safety

  16. ARCQuant: Boosting NVFP4 Quantization with Augmented Residual Channels for LLMs

    Jan 12, 2026Haoqian Meng, Yilun Luo, Yafei Zhao +3Full-Precision PerformanceLLM Inference Efficiency

  17. Precision autotuning for linear solvers via contextual bandit-based RL

    Jan 2, 2026Erin Carson, Xinye ChenSpectral PreconditioningFull-Precision Performance

  18. When Less is More: 8-bit Quantization Improves Continual Learning in Large Language Models

    Dec 22, 2025Michael S. Zhang, Rishi A. Ruia, Arnav Kewalram +3Large Language Model QuantizationQuantization

  19. Shuttling Compiler for Trapped-Ion Quantum Computers Based on Fine-Tuned Large Language Models

    Dec 19, 2025Fabian Kreppel, Reza Salkhordeh, Ferdinand Schmidt-Kaler +1Quantum ComputingLarge Language Model Quantization

  20. Towards Training-free Automatic Proxy Discovery via Large Language Models for Mixed Precision Quantization

    Dec 8, 2025Haidong Kang, Jun Du, Guo YuMixed-Precision Quantization

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

    Nov 24, 2025Kazi Ahmed Asif Fuad, Lizhong ChenKolmogorov-Arnold NetworksQuantization

  22. You Had One Job: Per-Task Quantization Using LLMs' Hidden Representations

    Nov 9, 2025Amit LeVi, Raz Lapid, Rom Himelstein +3Weight-Only QuantizationQuantization

  23. PuzzleMoE: Efficient Compression of Large Mixture-of-Experts Models via Sparse Expert Merging and Bit-packed inference

    Nov 6, 2025Yushu Zhao, Zheng Wang, Minjia ZhangMixture-Of-Expert InferenceMixture-of-Experts Models

  24. Activation Quantization of Vision Encoders Needs Prefixing Registers

    Oct 6, 2025Seunghyeon Kim, Taesun Yeom, Jinho Kim +3Vision EncodersQuantization

  25. LUQ: Layerwise Ultra-Low Bit Quantization for Multimodal Large Language Models

    Sep 28, 2025Shubhang Bhatnagar, Andy Xu, Kar-Han Tan +1Large Language Model QuantizationMulti-Modal Large Language Models

  26. On-the-Fly Adaptation to Quantization: Configuration-Aware LoRA for Efficient Fine-Tuning of Quantized LLMs

    Sep 22, 2025Rongguang Ye, Ming Tang, Edith C. H. NgaiLarge Language Model QuantizationLow-Rank Adaptation Adapters

  27. Fair-GPTQ: Bias-Aware Quantization for Large Language Models

    Sep 18, 2025Irina Proskurina, Guillaume Metzler, Julien VelcinLarge Language Model QuantizationQuantization

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

    Aug 5, 2025Yufei Xue, Yushi Huang, Lunjie Zhu +2Large Language Model QuantizationLarge Vision Language Models

  29. Squeeze10-LLM: Squeezing LLMs' Weights by 10 Times via a Staged Mixed-Precision Quantization Method

    Jul 24, 2025Qingcheng Zhu, Yangyang Ren, Linlin Yang +6Large Language Model QuantizationMixed-Precision Quantization

  30. Discrete Tokenization for Multimodal LLMs: A Comprehensive Survey

    Jul 21, 2025Jindong Li, Yali Fu, Jiahong Liu +5Calibration-Free Low-Bit Vector QuantizationLarge Language Model Quantization

  31. FPTQuant: Function-Preserving Transforms for LLM Quantization

    Jun 5, 2025Boris van Breugel, Yelysei Bondarenko, Paul Whatmough +1Large Language Model QuantizationQuantization

  32. Evaluating the Scalability and Adversarial Generalization of GRPO-Trained NLI Models

    Apr 25, 2025Pablo Miralles-González, Javier Huertas-Tato, Alejandro Martín +1Natural Language InferenceAdversarial Training

  33. Quantum Adaptive Self-Attention for Quantum Transformer Models

    Apr 5, 2025Chi-Sheng Chen, En-Jui KuoQuantum Machine LearningQuantum Advantage

  34. Numerical stability analysis of large language models

    Mar 13, 2025Stanislav Budzinskiy, Wenyi Fang, Longbin Zeng +1Full-Precision PerformanceLarge Models

  35. Deep Network Approximation: Beyond ReLU to Diverse Activation Functions

    Jul 13, 2023Shijun Zhang, Jianfeng Lu, Hongkai ZhaoActivation FunctionsRectified Linear Unit Networks

  36. LVQAC: Lattice Vector Quantization Coupled with Spatially Adaptive Companding for Efficient Learned Image Compression

    Mar 25, 2023Xi Zhang, Xiaolin WuLearned Image CompressionCalibration-Free Low-Bit Vector Quantization

  37. Dynamic Expert Quantization for Scalable Mixture-of-Experts Inference

    Date pendingKexin Chu, Dawei Xiang, Zixu Shen +3Mixture-Of-Expert InferenceMixed-Precision Quantization

  38. 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

  39. Benford's Law as a Distributional Prior for Post-Training Quantization of Large Language Models

    Date pendingArthur Negrão, Pedro Silva, Vander L. S. Freitas +2QuantizationLLM Post-Training Methods

  40. Accuracy is Not Enough: A Divergence-Based Approach to Evaluate Fidelity Loss in Quantized LLMs

    Date pendingShahzeb Qamar, Lorenz Sparrenberg, Christian Bauckhage +5Large Language Model QuantizationWeight-Only Quantization

  41. REAL-Q: E2E LLM Quantization via Dynamic Gradient Descent

    Date pendingQian Zhang, Yaoming Li, Zhewen Tan +9Large Language Model QuantizationWeight-Only Quantization

  42. FP8 is All You Need (Part 1): Debunking Hardware FP64 as the HPC Holy Grail (Sep 3rd version)

    Date pendingSatoshi MatsuokaHigh-Performance ComputingFp8

  43. RDQ: Residual Distribution Quantization for Large Language Models

    Date pendingPrateek SinghQuantization

  44. FP8 is All You Need (Part 2): Full-FP64 3-D FFT on FP8-Generation Tensor CoresThe Integer-Epilogue Wall and the Minimal Hardware That Would Remove It

    Date pendingSatoshi MatsuokaFp8Tensor Programs