Mixed-Precision Quantization

Ask about this field

Recent momentum

emerging

0 papers in the last 28 days · 0.0% of indexed attention

Twelve weeks of publication activity for this topic as it is defined today.

Weekly history

Recent digests

What was published in this field, kept on the site without email delivery.

Period ending 2026-09-21

15 new papers

A weekly snapshot of new work published in Mixed-Precision Quantization.

Period ending 2026-09-14

13 new papers

A weekly snapshot of new work published in Mixed-Precision Quantization.

Period ending 2026-09-07

12 new papers

A weekly snapshot of new work published in Mixed-Precision Quantization.

Inside this field

Focused directions

455 papers

Latest in Mixed-Precision Quantization

Open your feed →
CardsList

  1. SPHQuant: Efficient extreme low bit weight quantization for Vision-Language Models

    Sep 21, 2026Kewei Zhang, Zheng Chen, Haotong Qin +1Large Language Model Quantization

  2. Circuit Hypernetworks for Quantum-Augmented Diffusion Language Models

    Sep 21, 2026Xiaoqiang Wang, Mengyang Xiong, Jun Dai +1Large Language Model QuantizationDiffusion Language Models

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

    Sep 17, 2026D. Hudson Smith, Ahmer RazaUltrasoundQuantizer

  4. Predict Before You Deploy: Offline Prediction of Quantization-Induced Task Degradation for World Action Models

    Sep 16, 2026Jiuyi Xu, Jinjia Guo, Meida Chen +2Weight-Only QuantizationWorld Models

  5. Radio-Frequency Convolutional Neural Networks

    Sep 16, 2026Zhihui Gao, Shi-Yuan Ma, Yiran Chen +2Radio FrequencyFull-Precision Performance

  6. Colla-Q: Toward Collaborative Experts in MoE Quantization via Minimax Precision Balancing

    Sep 16, 2026Eunju Shin, Jongbin RyuMixed-Precision QuantizationQuantization

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

    Sep 16, 2026Jerry KaplanQuantifyingQuantizer

  8. QuanText: Protecting Dataset-Level Secrets in Textual Data Sharing

    Sep 16, 2026Shuaiqi Wang, Zinan Lin, Giulia FantiTextual DatasetPrompt-Level Mitigations

  9. The Inference Engineering Pareto Atlas: Which Optimizations Dominate the Cost, Quality, and Latency Frontier?

    Sep 15, 2026Srikanta Datta Tumkur, Jay Iyer, Mehar Simhadri +3LLM Inference EfficiencySystematic Fp16 Divergence

  10. OptiPrime: Optimizing Private Inference through Protocol-Hardware Co-design

    Sep 15, 2026Jiangrui Yu, Ye Yu, Si Chen +5Graph Neural Network InferenceHomomorphic Encryption

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

    Sep 15, 2026Jonghyeon Lim, Changhoon YimWeight-Only QuantizationQuantization

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

    Sep 14, 2026Hyojung HanWeight-Only QuantizationLarge Language Model Quantization

  13. Breaking the 1.58-bit Barrier for Ternary LLMs

    Sep 14, 2026Evangelos Georganas, Alexander Heinecke, Pradeep DubeyLarge Language Model QuantizationLarge Models

  14. Towards Surrogate Based Dequantization of Quantum Reinforcement Learning

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

  15. How Lossless Is Lossless Speculative Decoding? The Role of Numerical Precision in Orthrus

    Sep 14, 2026Ilya Koziev, Leonid Sinev, Ivan OseledetsSpeculative DecodingFull-Precision Performance

  16. Dissecting GPU Utilization for LLM Inference on Nvidia Hopper

    Sep 14, 2026Mohammad Siavashi, Gerald Q. Maguire Jr., Dejan Kostic +1Nvidia NemotronLLM Inference Efficiency

  17. Behavior Quotient Learning for Low-Rank Adaptation of LLM Agents

    Sep 14, 2026Pengyang Zhou, Xiaobin Tu, Zhengxi Liu +7Low-Rank AdaptationLow-Rank Adaptation Adapters

  18. OmniKVQuant: KV Cache Quantization for Omni-LLMs

    Sep 11, 2026Suho Yoo, Hyunjong Ok, Jongmin Choi +2Key-Value Cache QuantizationCache

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

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

  20. Why Does Post-Training Quantization Work?

    Sep 10, 2026Yuxiang Chen, Michael Beyer, Jun Zhu +1Weight-Only QuantizationQuantization

  21. Forgetting Only What Matters: Layer-Selective Unlearning toward Robust LLMs

    Sep 9, 2026Ravi Ranjan, Olivera Kotevska, Agoritsa PolyzouLarge Language Model UnlearningSeveral Approximate Unlearning Strategies

  22. Storage-Scalable Progressive Semantic Communication via Knowledge-Base Reuse

    Sep 9, 2026Heng Zhu, Ye Liu, Kun Zhu +1Extreme Low-Bit QuantizationSemantic Communications

  23. EFQ-Softmax: Exp-Free Quantization for Softmax

    Sep 9, 2026Haohui Han, Yuming Wan, Hongni Wang +4Mixed-Precision QuantizationGumbel-Softmax Relaxation

  24. It's Not RoPE that Creates Sinks: The Role of Self-Concentration and Value-Non-Mixing in Attention

    Sep 8, 2026Raito Kiya, Satoki Ohashi, Kosuke Sato +6Large Language Model QuantizationRotary Position Embedding

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

    Sep 8, 2026Uri ErezQuantum Error CorrectionQuantizer

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

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

  27. Quantization Amplifies Determinism, Not Bias: Scale-Dependent Behavioral Effects of Serving-Time Weight Compression

    Sep 7, 2026Dachi KurtskhaliaLarge Language Model QuantizationQuantization

  28. Matryoshka Hash Representations for Model-Aware Compact Semantic Retrieval

    Sep 7, 2026Peichun Hua, Yunming XiaoRetrieval LayerMatryoshka Representation Learning

  29. When Quantization Breaks Memory: Recurrent-State Write-Back in Low-Precision Temporal Inference

    Sep 7, 2026Ismail Erbas, Xavier Intes, Vikas PandeyRecurrent StateQuantization

  30. Why Gated DeltaNet Survives 4-Bit Quantization: NVFP4 W4A4 for the Recurrent Half of a Hybrid 27B LLM

    Sep 3, 2026Sergii Kozyrev, Davyd MaiborodaFp8Quantization

  31. Towards Numerical TOHTN Planning with SMT-based HTN-SAT Encoding

    Sep 3, 2026Gaspard Quenard, Takudzwa Togarepi, Damien Pellier +1SatisfiabilityClassical Planning

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

    Sep 3, 2026Y. Kenan YılmazRiemann Zeta FunctionQuantizer

  33. Train What You Deploy: Closing the MLP Reachability Gap in Low-Rank Clone Distillation

    Sep 2, 2026Wenhui Chen, Zhifeng Li, Jie Zhou +5Large Language Model CompressionBatch Distillation

  34. Post-Training Ternarization of Qwen3-4B Capability, Effective Bit Budget, Storage Compression, and Deployment

    Sep 2, 2026Anirudh Malik, M Sparsh Mehra, Poojith DevanQwen3Context Compression

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

    Sep 1, 2026Bharadwaj Kavuri, Sourav Babu-PK, Varadhraj Ellapan +2Weight-Only QuantizationQuantization

  36. The Structure of Quantization Damage in LLMs: Why the Next Bit Should Be Spent Globally

    Sep 1, 2026Jundong Hu, Shekar RamachandranLarge Language Model QuantizationQuantization

  37. Triple-Bottom-Line Sustainability of Language Models for Edge AI: A Comparison Between SLMs and Quantized LLMs

    Sep 1, 2026Jainil Dharmil ShahLarge Language Model QuantizationSmall Language Models

  38. 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

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

    Aug 31, 2026Yipin Guo, Arun M George, Jie Fu +3Weight-Only QuantizationModel Weights

  40. Faithfulness Is Not Free: Auditing Offline KV-Cache Quantization in Retrieval-Augmented Generation

    Aug 31, 2026Atta Ul Asad, Ahsan Bilal, Muhammad Ali +2Key-Value Cache QuantizationQuantization

  41. Q-Strata: Hierarchical Bit Allocation for Mixed-Precision Quantization of Mixture-of-Experts LLMs

    Aug 31, 2026Deokjae Lee, Sihun Chu, Hyun Oh SongMixed-Precision QuantizationMixture-Of-Expert Language Models

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

    Aug 31, 2026Dain Kwon, Kanghyun Choi, Hyeyoon Lee +4Weight-Only QuantizationQuantization

  43. HyQuant: Hybrid-Precision Quantization for LLM Attention

    Aug 28, 2026Jiatong Ding, Bingxin Xing, Yu Zhang +9Large Language Model QuantizationMixed-Precision Quantization

  44. When Personality Meets Quantization: A Layer-wise MBTI Analysis of Quantized LLMs

    Aug 26, 2026Yao Fu, Lijia Huang, Xiaomin Li +3PersonalityLarge Language Model Quantization

  45. Beyond Dense Adam States: Adaptive Log-Space Quantization for Memory-Efficient Optimizers

    Aug 23, 2026Yan WangQuantizationAdam

  46. In-Cell Learning: Language Models That Update Their Own Weights in Sequence Without Changing the File They Ship

    Aug 21, 2026Zifeng Liu, Yaxin Lu, Xuanhan Wu +6Model WeightsUpdates

  47. 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 +1Weight-Only QuantizationRotary Position Embedding

  48. NAS-Driven Hardware Accelerator Exploration for Edge AI and Quantization Effects on the Pareto Space

    Aug 13, 2026Eleftherios Mylonas, Angelos Kouprizas, Michael Birbas +1Neural Architecture SearchAccelerator

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

    Aug 12, 2026Junyi Ye, Ivy Gateri WanjikuWeight-Only QuantizationQuantization

  50. HAMP-LIC: Hessian-Aware Mixed-Precision Post-Training Quantization for Learned Image Compression

    Aug 12, 2026Yuefeng ZhangLearned Image CompressionQuantization

  51. FQTree: Fine-grained Quantization and Hardware Generation of Boosted Decision Trees

    Aug 12, 2026Zhiqiang Que, Chang Sun, Haiyang Wang +6Extreme Low-Bit QuantizationField-Programmable Gate Arrays

  52. SoftWater: Class-Aware Rate Allocation for Softmax Quantization

    Aug 12, 2026Joao V. Cavalcanti, Ashia C. WilsonExtreme Low-Bit QuantizationGumbel-Softmax Relaxation

  53. Benchmarking Trustworthiness of SLMs: Pre-trained vs. Compressed

    Aug 12, 2026Haokun Lin, Kaijie Zhu, Haobo Xu +4Small Language ModelsLarge Language Model Reliability

  54. Reading the Gate, Not the Interference: Output-Side Interference Measurement Does Not Track Merge Collapse

    Aug 12, 2026Chencheng ZhuSystematic Fp16 DivergenceCausal Reasoning

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

    Aug 12, 2026Nirmal ThomasLarge Language Model QuantizationQuantization

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

    Aug 11, 2026He-Yen Hsieh, H. T. KungWeight-Only QuantizationLLM Inference Efficiency

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

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

  58. 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

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

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

  60. 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