Saved in:
| Main Authors: | Maskey, Sohir, Eichenberg, Constantin, Messner, Johannes, Orr, Douglas |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2602.15563 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Bit-by-Bit: Progressive QAT Strategy with Outlier Channel Splitting for Stable Low-Bit LLMs
by: Xu, Binxing, et al.
Published: (2026)
by: Xu, Binxing, et al.
Published: (2026)
Attn-QAT: 4-Bit Attention With Quantization-Aware Training
by: Zhang, Peiyuan, et al.
Published: (2026)
by: Zhang, Peiyuan, et al.
Published: (2026)
AdaQAT: Adaptive Bit-Width Quantization-Aware Training
by: Gernigon, Cédric, et al.
Published: (2024)
by: Gernigon, Cédric, et al.
Published: (2024)
Generalization Bounds for Message Passing Networks on Mixture of Graphons
by: Maskey, Sohir, et al.
Published: (2024)
by: Maskey, Sohir, et al.
Published: (2024)
Weisfeiler and Leman Go Loopy: A New Hierarchy for Graph Representational Learning
by: Paolino, Raffaele, et al.
Published: (2024)
by: Paolino, Raffaele, et al.
Published: (2024)
Graph Representational Learning: When Does More Expressivity Hurt Generalization?
by: Maskey, Sohir, et al.
Published: (2025)
by: Maskey, Sohir, et al.
Published: (2025)
LittleBit: Ultra Low-Bit Quantization via Latent Factorization
by: Lee, Banseok, et al.
Published: (2025)
by: Lee, Banseok, et al.
Published: (2025)
Graph Neural Networks for Enhancing Ensemble Forecasts of Extreme Rainfall
by: Bülte, Christopher, et al.
Published: (2025)
by: Bülte, Christopher, et al.
Published: (2025)
Order-Optimal Sequential 1-Bit Mean Estimation in General Tail Regimes
by: Lau, Ivan, et al.
Published: (2026)
by: Lau, Ivan, et al.
Published: (2026)
FrameQuant: Flexible Low-Bit Quantization for Transformers
by: Adepu, Harshavardhan, et al.
Published: (2024)
by: Adepu, Harshavardhan, et al.
Published: (2024)
DyBit: Dynamic Bit-Precision Numbers for Efficient Quantized Neural Network Inference
by: Zhou, Jiajun, et al.
Published: (2023)
by: Zhou, Jiajun, et al.
Published: (2023)
CLAQ: Pushing the Limits of Low-Bit Post-Training Quantization for LLMs
by: Wang, Haoyu, et al.
Published: (2024)
by: Wang, Haoyu, et al.
Published: (2024)
The Price of Robustness: Stable Classifiers Need Overparameterization
by: von Berg, Jonas, et al.
Published: (2026)
by: von Berg, Jonas, et al.
Published: (2026)
MSQ: Memory-Efficient Bit Sparsification Quantization
by: Han, Seokho, et al.
Published: (2025)
by: Han, Seokho, et al.
Published: (2025)
One-Bit Quantization for Random Features Models
by: Akhtiamov, Danil, et al.
Published: (2025)
by: Akhtiamov, Danil, et al.
Published: (2025)
InfoQuant: Shaping Activation Distributions for Low-Bit LLM Quantization
by: Li, Ke, et al.
Published: (2026)
by: Li, Ke, et al.
Published: (2026)
Learning Grouped Lattice Vector Quantizers for Low-Bit LLM Compression
by: Zhang, Xi, et al.
Published: (2025)
by: Zhang, Xi, et al.
Published: (2025)
Why Do Some Inputs Break Low-Bit LLM Quantization?
by: Chang, Ting-Yun, et al.
Published: (2025)
by: Chang, Ting-Yun, et al.
Published: (2025)
SplitQuant: Layer Splitting for Low-Bit Neural Network Quantization
by: Song, Jaewoo, et al.
Published: (2025)
by: Song, Jaewoo, et al.
Published: (2025)
DecDEC: A Systems Approach to Advancing Low-Bit LLM Quantization
by: Park, Yeonhong, et al.
Published: (2024)
by: Park, Yeonhong, et al.
Published: (2024)
LoRAQuant: Mixed-Precision Quantization of LoRA to Ultra-Low Bits
by: Mirzaei, Amir Reza, et al.
Published: (2025)
by: Mirzaei, Amir Reza, et al.
Published: (2025)
Q-Palette: Fractional-Bit Quantizers Toward Optimal Bit Allocation for Efficient LLM Deployment
by: Lee, Deokjae, et al.
Published: (2025)
by: Lee, Deokjae, et al.
Published: (2025)
StableQAT: Stable Quantization-Aware Training at Ultra-Low Bitwidths
by: Chen, Tianyi, et al.
Published: (2026)
by: Chen, Tianyi, et al.
Published: (2026)
Low-Bit, High-Fidelity: Optimal Transport Quantization for Flow Matching
by: Varam, Dara, et al.
Published: (2025)
by: Varam, Dara, et al.
Published: (2025)
BitSnap: Checkpoint Sparsification and Quantization in LLM Training
by: Peng, Yanxin, et al.
Published: (2025)
by: Peng, Yanxin, et al.
Published: (2025)
ECQ$^{\text{x}}$: Explainability-Driven Quantization for Low-Bit and Sparse DNNs
by: Becking, Daniel, et al.
Published: (2021)
by: Becking, Daniel, et al.
Published: (2021)
MuonQ: Enhancing Low-Bit Muon Quantization via Directional Fidelity Optimization
by: Su, Yupeng, et al.
Published: (2026)
by: Su, Yupeng, et al.
Published: (2026)
TesseraQ: Ultra Low-Bit LLM Post-Training Quantization with Block Reconstruction
by: Li, Yuhang, et al.
Published: (2024)
by: Li, Yuhang, et al.
Published: (2024)
BitsMoE: Efficient Spectral Energy-Guided Bit Allocation for MoE LLM Quantization
by: Zhao, Jiayu, et al.
Published: (2026)
by: Zhao, Jiayu, et al.
Published: (2026)
Diffusion Model Based Signal Recovery Under 1-Bit Quantization
by: Chen, Youming, et al.
Published: (2025)
by: Chen, Youming, et al.
Published: (2025)
Technical Report: Activation Residual Hessian Quantization (ARHQ) for Low-Bit LLM Quantization
by: Wang, YiFeng, et al.
Published: (2026)
by: Wang, YiFeng, et al.
Published: (2026)
StatQAT: Statistical Quantizer Optimization for Deep Networks
by: Aktukmak, Mehmet, et al.
Published: (2026)
by: Aktukmak, Mehmet, et al.
Published: (2026)
EfQAT: An Efficient Framework for Quantization-Aware Training
by: Ashkboos, Saleh, et al.
Published: (2024)
by: Ashkboos, Saleh, et al.
Published: (2024)
Low-Bit Quantization Favors Undertrained LLMs: Scaling Laws for Quantized LLMs with 100T Training Tokens
by: Ouyang, Xu, et al.
Published: (2024)
by: Ouyang, Xu, et al.
Published: (2024)
Edge-ASR: Towards Low-Bit Quantization of Automatic Speech Recognition Models
by: Feng, Chen, et al.
Published: (2025)
by: Feng, Chen, et al.
Published: (2025)
SBVR: Summation of BitVector Representation for Efficient LLM Quantization
by: Bang, Wonjun, et al.
Published: (2025)
by: Bang, Wonjun, et al.
Published: (2025)
QQQ: Quality Quattuor-Bit Quantization for Large Language Models
by: Zhang, Ying, et al.
Published: (2024)
by: Zhang, Ying, et al.
Published: (2024)
Robust Ultra Low-Bit Post-Training Quantization via Stable Diagonal Curvature Estimate
by: Kim, Jaemin, et al.
Published: (2026)
by: Kim, Jaemin, et al.
Published: (2026)
SplitQuantV2: Enhancing Low-Bit Quantization of LLMs Without GPUs
by: Song, Jaewoo, et al.
Published: (2025)
by: Song, Jaewoo, et al.
Published: (2025)
Quantization Meets Reasoning: Exploring and Mitigating Degradation of Low-Bit LLMs in Mathematical Reasoning
by: Li, Zhen, et al.
Published: (2025)
by: Li, Zhen, et al.
Published: (2025)
Similar Items
-
Bit-by-Bit: Progressive QAT Strategy with Outlier Channel Splitting for Stable Low-Bit LLMs
by: Xu, Binxing, et al.
Published: (2026) -
Attn-QAT: 4-Bit Attention With Quantization-Aware Training
by: Zhang, Peiyuan, et al.
Published: (2026) -
AdaQAT: Adaptive Bit-Width Quantization-Aware Training
by: Gernigon, Cédric, et al.
Published: (2024) -
Generalization Bounds for Message Passing Networks on Mixture of Graphons
by: Maskey, Sohir, et al.
Published: (2024) -
Weisfeiler and Leman Go Loopy: A New Hierarchy for Graph Representational Learning
by: Paolino, Raffaele, et al.
Published: (2024)