Mixed-Precision Quantization

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Period ending 2026-09-21

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Period ending 2026-09-07

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  1. Amortized-Precision Quantization for Early-Exit Vision Transformers

    May 8, 2026Rui Fang, Hsi-Wen Chen, Ming-Syan ChenMixed-Precision QuantizationSelf-Supervised Vision Transformers

  2. LoopQ: Quantization for Recursive Transformers

    May 8, 2026Rui Fang, Hsi-Wen Chen, Ming-Syan ChenWeight-Only QuantizationQuantization

  3. 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

  4. Grokking or Glitching? How Low-Precision Drives Slingshot Loss Spikes

    May 7, 2026Liu Hanqing, Jianjun Cao, Yuanze Li +1Loss LandscapeFull-Precision Performance

  5. Normalized Architectures are Natively 4-Bit

    May 7, 2026Maxim Fishman, Brian Chmiel, Ron Banner +2Full-Precision PerformanceLow-Bit

  6. Quantum-enhanced Large Language Models on Quantum Hardware via Cayley Unitary Adapters

    May 7, 2026Borja Aizpurua, Sukhbinder Singh, Augustine Kshetrimayum +2Large Language Model QuantizationQuantum Computing

  7. When Quantization Is Free: An int4 KV Cache That Outruns fp16 on Apple Silicon

    May 7, 2026Mohamed Amine BergachKey-Value Cache QuantizationSystematic Fp16 Divergence

  8. Saliency-Aware Regularized Quantization Calibration for Large Language Models

    May 7, 2026Yanlong Zhao, Xiaoyuan Cheng, Huihang Liu +6Weight-Only QuantizationQuantization

  9. TRAM: Training Approximate Multiplier Structures for Low-Power AI Accelerators

    May 6, 2026Chang Meng, Hanyu Wang, Yuyang Ye +3AcceleratorMixed-Precision Quantization

  10. Adapting Large Language Models to a Low-Resource Agglutinative Language: A Comparative Study of LoRA and QLoRA for Bashkir

    May 6, 2026Mullosharaf K. Arabov, Svetlana S. KhaybullinaLarge Language Model QuantizationLow-Rank Adaptation

  11. AxMoE: Characterizing the Impact of Approximate Multipliers on Mixture-of-Experts DNN Architectures

    May 6, 2026Omkar B Shende, Marcello Traiola, Gayathri AnanthanarayananMixture-Of-Expert InferenceGraph Neural Network Inference

  12. OSAQ: Outlier Self-Absorption for Accurate Low-bit LLM Quantization

    May 6, 2026Zhikai Li, Zhen Dong, Xuewen Liu +2Large Language Model QuantizationWeight-Only Quantization

  13. Hardware-Aware Neural Feature Extraction for Resource-Constrained Devices

    May 5, 2026Francesco Tosini, Simone Pedroni, Christian Veronesi +5Resource-Constrained Edge DevicesFeature Extraction

  14. Mixed-Precision Information Bottlenecks for On-Device Trait-State Disentanglement in Bipolar Agitation Detection

    May 4, 2026Joydeep ChandraMixed-Precision QuantizationVariational Autoencoder

  15. Statistically-Lossless Quantization of Large Language Models

    May 4, 2026Michael Helcig, Eldar Kurtic, Dan AlistarhLarge Language Model QuantizationContext Compression

  16. 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

  17. WindowQuant: Mixed-Precision KV Cache Quantization based on Window-Level Similarity for VLMs Inference Optimization

    May 4, 2026Wei Tao, Xiaoyang Qu, Peiqiang Wang +4Key-Value Cache QuantizationMixed-Precision Quantization

  18. GETA-3DGS: Automatic Joint Structured Pruning and Quantization for 3D Gaussian Splatting

    May 3, 2026Baobing Zhang, Wanxin Sui3D GaussianNovel View Synthesis

  19. ShiftLIF: Efficient Multi-Level Spiking Neurons with Power-of-Two Quantization

    May 3, 2026Kaiwen Tang, Di Yu, Jiaqi Zheng +4Spiking Neural NetworksBinary Spikes

  20. Floating-Point Networks with Automatic Differentiation Can Represent Almost All Floating-Point Functions and Their Gradients

    May 3, 2026Sejun Park, Yeachan Park, Geonho HwangFloating-PointActivation Functions

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

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

  22. AGoQ: Activation and Gradient Quantization for Memory-Efficient Distributed Training of LLMs

    May 1, 2026Wenxiang Lin, Juntao Huang, Luhan Zhang +5Large Language Model QuantizationGraphics Processing Unit Memory

  23. BWLA: Breaking the Barrier of W1AX Post-Training Quantization for LLMs

    May 1, 2026Zhixiong Zhao, Zukang Xu, Dawei YangLarge Language Model QuantizationLarge Language Model Compression

  24. Technical Report: Activation Residual Hessian Quantization (ARHQ) for Low-Bit LLM Quantization

    Apr 30, 2026YiFeng Wang, Zhun Sun, Keisuke SakaguchiLarge Language Model QuantizationLLM Post-Training Methods

  25. MesonGS++: Post-training Compression of 3D Gaussian Splatting with Hyperparameter Searching

    Apr 29, 2026Shuzhao Xie, Junchen Ge, Weixiang Zhang +103D Gaussian Splats3D Gaussian

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

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

  27. QYOLO: Lightweight Object Detection via Quantum Inspired Shared Channel Mixing

    Apr 29, 2026Garvit Kumar Mittal, Sahil Tomar, Sandeep KumarMixed-Precision QuantizationObject Detection

  28. CoQuant: Joint Weight-Activation Subspace Projection for Mixed-Precision LLMs

    Apr 29, 2026Zhe Ding, Su Pan, Duowei PanLarge Language Model QuantizationWeight-Only Quantization

  29. FED-FSTQ: Fisher-Guided Token Quantization for Communication-Efficient Federated Fine-Tuning of LLMs on Edge Devices

    Apr 28, 2026Changyu Li, Shuanghong Huang, Jiashen Liu +5Federated LearningLarge Language Model Quantization

  30. QFlash: Bridging Quantization and Memory Efficiency in Vision Transformer Attention

    Apr 28, 2026Sehyeon Oh, Yongin Kwon, Jemin LeeQuadratic AttentionQuantization

  31. Nemotron 3 Nano Omni: Efficient and Open Multimodal Intelligence

    Apr 27, 2026NVIDIA, :, Amala Sanjay Deshmukh +216Omni-ModalOmni

  32. BitRL: Reinforcement Learning with 1-bit Quantized Language Models for Resource-Constrained Edge Deployment

    Apr 27, 2026Md. Ashiq Ul Islam Sajid, Mohammad Sakib Mahmood, Md. Tareq Hasan +3Resource-Constrained Edge DevicesLarge Language Model Quantization

  33. TACO: Efficient Communication Compression of Intermediate Tensors for Scalable Tensor-Parallel LLM Training

    Apr 27, 2026Man Liu, Xingchen Liu, Xingjian Tian +8Tensor ProgramsWeight-Only Quantization

  34. Coverage-Based Calibration for Post-Training Quantization via Weighted Set Cover over Outlier Channels

    Apr 27, 2026Ibne Farabi Shihab, Sanjeda Akter, Anuj SharmaWeight-Only QuantizationQuantization

  35. DeepSeek-V4: Towards Highly Efficient Million-Token Context Intelligence

    Apr 26, 2026DeepSeek-AI, Anyi Xu, Bangcai Lin +316Efficient Long-Context InferenceDeepseek

  36. Practical Quantum CIM Empowerment via All-Domestic-Core Agentic Large Model

    Apr 24, 2026Wang Rui, Lu DiannanLarge Language Model QuantizationLarge Models

  37. Bridging the Training-Deployment Gap: Gated Encoding and Multi-Scale Refinement for Efficient Quantization-Aware Image Enhancement

    Apr 23, 2026Dat To-Thanh, Nghia Nguyen-Trong, Hoang Vo +2Weight-Only QuantizationMobilenetv2

  38. Focus Session: Hardware and Software Techniques for Accelerating Multimodal Foundation Models

    Apr 23, 2026Muhammad Shafique, Abdul Basit, Muhammad Abdullah Hanif +3Multimodal Foundation ModelAccelerator

  39. Quantization robustness from dense representations of sparse functions in high-capacity kernel associative memory

    Apr 22, 2026Akira TamamoriHopfield NetworksQuantization

  40. Efficient INT8 Single-Image Super-Resolution via Deployment-Aware Quantization and Teacher-Guided Training

    Apr 22, 2026Pham Phuong Nam Nguyen, Nam Tien Le, Thi Kim Trang Vo +1Generative Super-ResolutionExtreme Low-Bit Quantization

  41. Text-to-Distribution Prediction with Quantile Tokens and Neighbor Context

    Apr 22, 2026Yilun Zhu, Yuan Zhuang, Nikhita Vedula +6Quantile RegressionLarge Language Model Quantization

  42. FairyFuse: Multiplication-Free LLM Inference on CPUs via Fused Ternary Kernels

    Apr 22, 2026Fei Zuo, Xiaoyan Xi, Quanyi Zeng +2Systematic Fp16 DivergenceLLM Inference Efficiency

  43. RateQuant: Optimal Mixed-Precision KV Cache Quantization via Rate-Distortion Theory

    Apr 22, 2026Fei Zuo, Zikang Zhou, Hao Cong +2Key-Value Cache QuantizationQuantization

  44. On the Quantization Robustness of Diffusion Language Models in Coding Benchmarks

    Apr 22, 2026Aarav Gupta, Gururaj Deshpande, Chandreyi ChakrabortyLarge Language Model QuantizationQuantization

  45. From Signal Degradation to Computation Collapse: Uncovering the Two Failure Modes of LLM Quantization

    Apr 21, 2026Chenxi Zhou, Pengfei Cao, Jiang Li +4Weight-Only QuantizationLarge Language Model Quantization

  46. DASH-KV: Accelerating Long-Context LLM Inference via Asymmetric KV Cache Hashing

    Apr 21, 2026Jinyu Guo, Zhihan Zhang, Jiehui Xie +7Key-Value Cache CompressionLLM Inference Efficiency

  47. LBLLM: Lightweight Binarization of Large Language Models via Three-Stage Distillation

    Apr 21, 2026Siqing Song, Chuang Wang, Yong Lang +2Large Language Model QuantizationExtreme Low-Bit Quantization

  48. SAW-INT4: System-Aware 4-Bit KV-Cache Quantization for Real-World LLM Serving

    Apr 21, 2026Jinda Jia, Jisen Li, Zhongzhu Zhou +8Key-Value Cache QuantizationKey-Value Cache Compression

  49. GSQ: Highly-Accurate Low-Precision Scalar Quantization for LLMs via Gumbel-Softmax Sampling

    Apr 20, 2026Alireza Dadgarnia, Soroush Tabesh, Mahdi Nikdan +4Large Language Model QuantizationWeight-Only Quantization

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

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

  51. Soft Label Pruning and Quantization for Large-Scale Dataset Distillation

    Apr 20, 2026Xiao Lingao, Yang HeChain-Of-Thought DistillationCandidate Label Distributions

  52. Depth Registers Unlock W4A4 on SwiGLU: A Reader/Generator Decomposition

    Apr 20, 2026Ziyang LiuW4A4 QuantizationQuadratic Attention

  53. LoRaQ: Optimized Low Rank Approximation for 4-bit Quantization

    Apr 20, 2026Yann Bouquet, Alireza Khodamoradi, Sophie Yáng Shen +2QuantizationLow-Rank Factorization

  54. DuQuant++: Fine-grained Rotation Enhances Microscaling FP4 Quantization

    Apr 20, 2026Haokun Lin, Xinle Jia, Haobo Xu +7W4A4 QuantizationQuantization

  55. Evolutionary fine tuning of quantized convolution-based deep learning models

    Apr 19, 2026Marcin PietrońQuantizationDeep Learning

  56. Towards Joint Quantization and Token Pruning of Vision-Language Models

    Apr 19, 2026Xinqing Li, Xin He, Xindong Zhang +3Visual Token PruningLarge Language Model Quantization

  57. Bit-Flip Vulnerability of Shared KV-Cache Blocks in LLM Serving Systems

    Apr 19, 2026Yuji Yamamoto, Satoshi MatsuuraKv-Cache BlocksSystematic Fp16 Divergence

  58. Open-TQ-Metal: Fused Compressed-Domain Attention for Long-Context LLM Inference on Apple Silicon

    Apr 18, 2026Sai VegasenaSystematic Fp16 DivergenceLLM Inference Efficiency

  59. D-QRELO: Training- and Data-Free Delta Compression for Large Language Models via Quantization and Residual Low-Rank Approximation

    Apr 18, 2026Junlin Li, Shuangyong Song, Guodong Du +6Large Language Model CompressionQuantization

  60. Training Time Prediction for Mixed Precision-based Distributed Training

    Apr 17, 2026Minchul Kang, Changyong Shin, Jinwoo Jeong +5Training TimeFull-Precision Performance