Benchmarking Post-Training Quantization in LLMs: Comprehensive Taxonomy, Unified Evaluation, and Comparative Analysis
Fuente:
arXiv
Saved in:
| Main Authors: | Zhao, Jiaqi, Wang, Ming, Zhang, Miao, Shang, Yuzhang, Liu, Xuebo, Wang, Yaowei, Zhang, Min, Nie, Liqiang |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
PTQ1.61: Push the Real Limit of Extremely Low-Bit Post-Training Quantization Methods for Large Language Models
by: Zhao, Jiaqi, et al.
Published: (2025)
by: Zhao, Jiaqi, et al.
Published: (2025)
Boost Post-Training Quantization via Null Space Optimization for Large Language Models
by: Zhao, Jiaqi, et al.
Published: (2025)
by: Zhao, Jiaqi, et al.
Published: (2025)
DKDM: Data-Free Knowledge Distillation for Diffusion Models with Any Architecture
by: Xiang, Qianlong, et al.
Published: (2024)
by: Xiang, Qianlong, et al.
Published: (2024)
CountDiffusion: Text-to-Image Synthesis with Training-Free Counting-Guidance Diffusion
by: Li, Yanyu, et al.
Published: (2025)
by: Li, Yanyu, et al.
Published: (2025)
PTQ4DiT: Post-training Quantization for Diffusion Transformers
by: Wu, Junyi, et al.
Published: (2024)
by: Wu, Junyi, et al.
Published: (2024)
GSQ-Tuning: Group-Shared Exponents Integer in Fully Quantized Training for LLMs On-Device Fine-tuning
by: Zhou, Sifan, et al.
Published: (2025)
by: Zhou, Sifan, et al.
Published: (2025)
Efficient Safety Alignment of Large Language Models via Preference Re-ranking and Representation-based Reward Modeling
by: Deng, Qiyuan, et al.
Published: (2025)
by: Deng, Qiyuan, et al.
Published: (2025)
Achieving binary weight and activation for LLMs using Post-Training Quantization
by: Song, Siqing, et al.
Published: (2025)
by: Song, Siqing, et al.
Published: (2025)
PackCache: A Training-Free Acceleration Method for Unified Autoregressive Video Generation via Compact KV-Cache
by: Li, Kunyang, et al.
Published: (2026)
by: Li, Kunyang, et al.
Published: (2026)
Dataset Quantization with Active Learning based Adaptive Sampling
by: Zhao, Zhenghao, et al.
Published: (2024)
by: Zhao, Zhenghao, et al.
Published: (2024)
FinAuditing: A Financial Taxonomy-Structured Multi-Document Benchmark for Evaluating LLMs
by: Wang, Yan, et al.
Published: (2025)
by: Wang, Yan, et al.
Published: (2025)
BiLLM: Pushing the Limit of Post-Training Quantization for LLMs
by: Huang, Wei, et al.
Published: (2024)
by: Huang, Wei, et al.
Published: (2024)
Evaluating the Generalization Ability of Quantized LLMs: Benchmark, Analysis, and Toolbox
by: Liu, Yijun, et al.
Published: (2024)
by: Liu, Yijun, et al.
Published: (2024)
Train with Perturbation, Infer after Merging: A Two-Stage Framework for Continual Learning
by: Qiu, Haomiao, et al.
Published: (2025)
by: Qiu, Haomiao, et al.
Published: (2025)
Exo2Ego: Exocentric Knowledge Guided MLLM for Egocentric Video Understanding
by: Zhang, Haoyu, et al.
Published: (2025)
by: Zhang, Haoyu, et al.
Published: (2025)
Uncovering Hidden Connections: Iterative Search and Reasoning for Video-grounded Dialog
by: Zhang, Haoyu, et al.
Published: (2023)
by: Zhang, Haoyu, et al.
Published: (2023)
SliderQuant: Accurate Post-Training Quantization for LLMs
by: Wang, Shigeng, et al.
Published: (2026)
by: Wang, Shigeng, et al.
Published: (2026)
ResearchGPT: Benchmarking and Training LLMs for End-to-End Computer Science Research Workflows
by: Wang, Penghao, et al.
Published: (2025)
by: Wang, Penghao, et al.
Published: (2025)
MME-Unify: A Comprehensive Benchmark for Unified Multimodal Understanding and Generation Models
by: Xie, Wulin, et al.
Published: (2025)
by: Xie, Wulin, et al.
Published: (2025)
Evaluating the Impact of Post-Training Quantization on Reliable VQA with Multimodal LLMs
by: Kurz, Paul Jonas, et al.
Published: (2026)
by: Kurz, Paul Jonas, et al.
Published: (2026)
Understanding the Difficulty of Low-Precision Post-Training Quantization for LLMs
by: Xu, Zifei, et al.
Published: (2024)
by: Xu, Zifei, et al.
Published: (2024)
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)
Provable Post-Training Quantization: Theoretical Analysis of OPTQ and Qronos
by: Zhang, Haoyu, et al.
Published: (2025)
by: Zhang, Haoyu, et al.
Published: (2025)
Trained Mamba Emulates Online Gradient Descent in In-Context Linear Regression
by: Jiang, Jiarui, et al.
Published: (2025)
by: Jiang, Jiarui, et al.
Published: (2025)
Unveil Benign Overfitting for Transformer in Vision: Training Dynamics, Convergence, and Generalization
by: Jiang, Jiarui, et al.
Published: (2024)
by: Jiang, Jiarui, et al.
Published: (2024)
Challenging Multilingual LLMs: A New Taxonomy and Benchmark for Unraveling Hallucination in Translation
by: Wu, Xinwei, et al.
Published: (2025)
by: Wu, Xinwei, et al.
Published: (2025)
Can World Simulators Reason? Gen-ViRe: A Generative Visual Reasoning Benchmark
by: Liu, Xinxin, et al.
Published: (2025)
by: Liu, Xinxin, et al.
Published: (2025)
MARS: Technical Report for the CASTLE Challenge at EgoVis 2026
by: Zhang, Haoyu, et al.
Published: (2026)
by: Zhang, Haoyu, et al.
Published: (2026)
Spatial Understanding from Videos: Structured Prompts Meet Simulation Data
by: Zhang, Haoyu, et al.
Published: (2025)
by: Zhang, Haoyu, et al.
Published: (2025)
OSGNet @ Ego4D Episodic Memory Challenge 2025
by: Feng, Yisen, et al.
Published: (2025)
by: Feng, Yisen, et al.
Published: (2025)
Technical Report for Ego4D Long-Term Action Anticipation Challenge 2025
by: Chu, Qiaohui, et al.
Published: (2025)
by: Chu, Qiaohui, et al.
Published: (2025)
HCQA-1.5 @ Ego4D EgoSchema Challenge 2025
by: Zhang, Haoyu, et al.
Published: (2025)
by: Zhang, Haoyu, et al.
Published: (2025)
A Unified Agentic Framework for Evaluating Conditional Image Generation
by: Wang, Jifang, et al.
Published: (2025)
by: Wang, Jifang, et al.
Published: (2025)
KDRL: Post-Training Reasoning LLMs via Unified Knowledge Distillation and Reinforcement Learning
by: Xu, Hongling, et al.
Published: (2025)
by: Xu, Hongling, et al.
Published: (2025)
Bits for Privacy: Evaluating Post-Training Quantization via Membership Inference
by: Zhang, Chenxiang, et al.
Published: (2025)
by: Zhang, Chenxiang, et al.
Published: (2025)
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)
GenView++: Unifying Adaptive Generative Augmentation and Quality-Driven Supervision for Contrastive Representation Learning
by: Li, Xiaojie, et al.
Published: (2025)
by: Li, Xiaojie, et al.
Published: (2025)
From Hallucination to Scheming: A Unified Taxonomy and Benchmark Analysis for LLM Deception
by: Shi, Jerick, et al.
Published: (2026)
by: Shi, Jerick, et al.
Published: (2026)
Unified Data Management and Comprehensive Performance Evaluation for Urban Spatial-Temporal Prediction [Experiment, Analysis & Benchmark]
by: Jiang, Jiawei, et al.
Published: (2023)
by: Jiang, Jiawei, et al.
Published: (2023)
BWLA: Breaking the Barrier of W1AX Post-Training Quantization for LLMs
by: Zhao, Zhixiong, et al.
Published: (2026)
by: Zhao, Zhixiong, et al.
Published: (2026)
Similar Items
-
PTQ1.61: Push the Real Limit of Extremely Low-Bit Post-Training Quantization Methods for Large Language Models
by: Zhao, Jiaqi, et al.
Published: (2025) -
Boost Post-Training Quantization via Null Space Optimization for Large Language Models
by: Zhao, Jiaqi, et al.
Published: (2025) -
DKDM: Data-Free Knowledge Distillation for Diffusion Models with Any Architecture
by: Xiang, Qianlong, et al.
Published: (2024) -
CountDiffusion: Text-to-Image Synthesis with Training-Free Counting-Guidance Diffusion
by: Li, Yanyu, et al.
Published: (2025) -
PTQ4DiT: Post-training Quantization for Diffusion Transformers
by: Wu, Junyi, et al.
Published: (2024)