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一作CVPR 2026Poster· Computer Vision & Pattern Recognition

Fine-Grained Post-Training Quantization for Large Vision Language Models with Quantization-Aware Integrated Gradients

Ziwei Xiang · Fanhu Zeng · Hongjian Fang · Rui-Qi Wang · Renxing Chen · Yanan Zhu · Yi Chen · Peipei Yang · Xu-yao Zhang

多模态强化学习与后训练效率与系统OpenReview 项目页

作者位次 #2/10ACL 2026Findings· Findings of ACL

FARSS : Fisher-Optimized Adaptive Low-Rank and Singular-Vector Selection for Knowledge-Preserving Fine-Tuning

Renxing Chen · Ziwei Xiang · Peisong Wang · Hongjian Fang · Meng Li · Fanhu Zeng · Yanan Zhu · Peipei Yang · Xu-yao Zhang · Jian Cheng

摘要

Parameter-efficient fine-tuning (PEFT) has become a prevalent approach for adapting large language models (LLMs). However, low-rank adaptation methods face an inherent trade-off: improving target task performance can compromise pre-trained world knowledge, while aggressively constraining updates...

效率与系统强化学习与后训练评测与基准OpenReview 项目页

Ziwei Xiang

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2026 顶会论文

Fine-Grained Post-Training Quantization for Large Vision Language Models with Quantization-Aware Integrated Gradients

FARSS : Fisher-Optimized Adaptive Low-Rank and Singular-Vector Selection for Knowledge-Preserving Fine-Tuning

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