Saved in:
| Main Authors: | Wang, Jinguang, Wang, Jingyu, Sun, Haifeng, Yang, Tingting, Zhuang, Zirui, Ning, Wanyi, Yin, Yuexi, Qi, Qi, Liao, Jianxin |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2503.07654 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
OutlierTune: Efficient Channel-Wise Quantization for Large Language Models
by: Wang, Jinguang, et al.
Published: (2024)
by: Wang, Jinguang, et al.
Published: (2024)
Unlocking the Potential of Linear Networks for Irregular Multivariate Time Series Forecasting
by: Wang, Chengsen, et al.
Published: (2025)
by: Wang, Chengsen, et al.
Published: (2025)
Rethinking the Power of Timestamps for Robust Time Series Forecasting: A Global-Local Fusion Perspective
by: Wang, Chengsen, et al.
Published: (2024)
by: Wang, Chengsen, et al.
Published: (2024)
ChatTime: A Unified Multimodal Time Series Foundation Model Bridging Numerical and Textual Data
by: Wang, Chengsen, et al.
Published: (2024)
by: Wang, Chengsen, et al.
Published: (2024)
Understanding and Guiding Weakly Supervised Entity Alignment with Potential Isomorphism Propagation
by: Wang, Yuanyi, et al.
Published: (2024)
by: Wang, Yuanyi, et al.
Published: (2024)
DIVER: A Robust Text-to-SQL System with Dynamic Interactive Value Linking and Evidence Reasoning
by: Nan, Yafeng, et al.
Published: (2026)
by: Nan, Yafeng, et al.
Published: (2026)
Interdependency Matters: Graph Alignment for Multivariate Time Series Anomaly Detection
by: Wang, Yuanyi, et al.
Published: (2024)
by: Wang, Yuanyi, et al.
Published: (2024)
OIPR: Evaluation for Time-series Anomaly Detection Inspired by Operator Interest
by: Jing, Yuhan, et al.
Published: (2025)
by: Jing, Yuhan, et al.
Published: (2025)
Kitty: Accurate and Efficient 2-bit KV Cache Quantization with Dynamic Channel-wise Precision Boost
by: Xia, Haojun, et al.
Published: (2025)
by: Xia, Haojun, et al.
Published: (2025)
Gradient Flow of Energy: A General and Efficient Approach for Entity Alignment Decoding
by: Wang, Yuanyi, et al.
Published: (2024)
by: Wang, Yuanyi, et al.
Published: (2024)
D$^2$Quant: Accurate Low-bit Post-Training Weight Quantization for LLMs
by: Yan, Xianglong, et al.
Published: (2026)
by: Yan, Xianglong, et al.
Published: (2026)
PICO: Pipeline Inference Framework for Versatile CNNs on Diverse Mobile Devices
by: Yang, Xiang, et al.
Published: (2022)
by: Yang, Xiang, et al.
Published: (2022)
ChronoSteer: Bridging Large Language Model and Time Series Foundation Model via Synthetic Data
by: Wang, Chengsen, et al.
Published: (2025)
by: Wang, Chengsen, et al.
Published: (2025)
Towards Semantic Consistency: Dirichlet Energy Driven Robust Multi-Modal Entity Alignment
by: Wang, Yuanyi, et al.
Published: (2024)
by: Wang, Yuanyi, et al.
Published: (2024)
1bit-Merging: Dynamic Quantized Merging for Large Language Models
by: Liu, Shuqi, et al.
Published: (2025)
by: Liu, Shuqi, et al.
Published: (2025)
SliderQuant: Accurate Post-Training Quantization for LLMs
by: Wang, Shigeng, et al.
Published: (2026)
by: Wang, Shigeng, et al.
Published: (2026)
Quant.npu: Enabling Efficient Mobile NPU Inference for on-device LLMs via Fully Static Quantization
by: Zhang, Jinghe, et al.
Published: (2026)
by: Zhang, Jinghe, et al.
Published: (2026)
OmniQuant: Omnidirectionally Calibrated Quantization for Large Language Models
by: Shao, Wenqi, et al.
Published: (2023)
by: Shao, Wenqi, et al.
Published: (2023)
$γ$-Quant: Towards Learnable Quantization for Low-bit Pattern Recognition
by: Fatima, Mishal, et al.
Published: (2025)
by: Fatima, Mishal, et al.
Published: (2025)
Channel-wise Vector Quantization
by: Song, Wei, et al.
Published: (2026)
by: Song, Wei, et al.
Published: (2026)
Erasing Without Remembering: Implicit Knowledge Forgetting in Large Language Models
by: Wang, Huazheng, et al.
Published: (2025)
by: Wang, Huazheng, et al.
Published: (2025)
DartQuant: Efficient Rotational Distribution Calibration for LLM Quantization
by: Shao, Yuantian, et al.
Published: (2025)
by: Shao, Yuantian, et al.
Published: (2025)
SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models
by: Xiao, Guangxuan, et al.
Published: (2022)
by: Xiao, Guangxuan, et al.
Published: (2022)
QuantVLA: Scale-Calibrated Post-Training Quantization for Vision-Language-Action Models
by: Zhang, Jingxuan, et al.
Published: (2026)
by: Zhang, Jingxuan, et al.
Published: (2026)
ButterflyQuant: Ultra-low-bit LLM Quantization through Learnable Orthogonal Butterfly Transforms
by: Xu, Bingxin, et al.
Published: (2025)
by: Xu, Bingxin, et al.
Published: (2025)
LeanQuant: Accurate and Scalable Large Language Model Quantization with Loss-error-aware Grid
by: Zhang, Tianyi, et al.
Published: (2024)
by: Zhang, Tianyi, et al.
Published: (2024)
DilateQuant: Accurate and Efficient Diffusion Quantization via Weight Dilation
by: Liu, Xuewen, et al.
Published: (2024)
by: Liu, Xuewen, et al.
Published: (2024)
RepQuant: Towards Accurate Post-Training Quantization of Large Transformer Models via Scale Reparameterization
by: Li, Zhikai, et al.
Published: (2024)
by: Li, Zhikai, et al.
Published: (2024)
AffineQuant: Affine Transformation Quantization for Large Language Models
by: Ma, Yuexiao, et al.
Published: (2024)
by: Ma, Yuexiao, et al.
Published: (2024)
Atom: Low-bit Quantization for Efficient and Accurate LLM Serving
by: Zhao, Yilong, et al.
Published: (2023)
by: Zhao, Yilong, et al.
Published: (2023)
CCQ: Convolutional Code for Extreme Low-bit Quantization in LLMs
by: Zhou, Zhaojing, et al.
Published: (2025)
by: Zhou, Zhaojing, et al.
Published: (2025)
Optimal Trajectory‐Following Guidance Based on Receding Horizon Indirect Gauss Pseudospectral Method for a Gliding Aerial Vehicle
by: Qi Chen, et al.
Published: (2026)
by: Qi Chen, et al.
Published: (2026)
OSAQ: Outlier Self-Absorption for Accurate Low-bit LLM Quantization
by: Li, Zhikai, et al.
Published: (2026)
by: Li, Zhikai, et al.
Published: (2026)
Harmonizing Diverse Models: A Layer-wise Merging Strategy for Consistent Generation
by: Peng, Xujun, et al.
Published: (2025)
by: Peng, Xujun, et al.
Published: (2025)
QuantFace: Efficient Quantization for Face Restoration
by: Li, Jiatong, et al.
Published: (2025)
by: Li, Jiatong, et al.
Published: (2025)
PrefixQuant: Eliminating Outliers by Prefixed Tokens for Large Language Models Quantization
by: Chen, Mengzhao, et al.
Published: (2024)
by: Chen, Mengzhao, et al.
Published: (2024)
QuantLRM: Quantization of Large Reasoning Models via Fine-Tuning Signals
by: Zhang, Nan, et al.
Published: (2026)
by: Zhang, Nan, et al.
Published: (2026)
Channel Merging: Preserving Specialization for Merged Experts
by: Zhang, Mingyang, et al.
Published: (2024)
by: Zhang, Mingyang, et al.
Published: (2024)
Rethinking Channel Dimensions to Isolate Outliers for Low-bit Weight Quantization of Large Language Models
by: Heo, Jung Hwan, et al.
Published: (2023)
by: Heo, Jung Hwan, et al.
Published: (2023)
CrossQuant: A Post-Training Quantization Method with Smaller Quantization Kernel for Precise Large Language Model Compression
by: Liu, Wenyuan, et al.
Published: (2024)
by: Liu, Wenyuan, et al.
Published: (2024)
Similar Items
-
OutlierTune: Efficient Channel-Wise Quantization for Large Language Models
by: Wang, Jinguang, et al.
Published: (2024) -
Unlocking the Potential of Linear Networks for Irregular Multivariate Time Series Forecasting
by: Wang, Chengsen, et al.
Published: (2025) -
Rethinking the Power of Timestamps for Robust Time Series Forecasting: A Global-Local Fusion Perspective
by: Wang, Chengsen, et al.
Published: (2024) -
ChatTime: A Unified Multimodal Time Series Foundation Model Bridging Numerical and Textual Data
by: Wang, Chengsen, et al.
Published: (2024) -
Understanding and Guiding Weakly Supervised Entity Alignment with Potential Isomorphism Propagation
by: Wang, Yuanyi, et al.
Published: (2024)