SubRot: Signed Gradient Subspace Calibration for VLM Rotation Quantization
cs.CV
Submitted: 2026-09-28
Updated: 2026-09-28
Terminology
Sources
- GPTQ: Accurate Post-Training Quantization for Generative Pre-trained Transformers
- GuidedQuant: Large Language Model Quantization via Exploiting End Loss Guidance
- SEED-Bench-2-Plus: Benchmarking Multimodal Large Language Models with Text-Rich Visual Comprehension
- C-PTQ: Fisher-weighted Channel-wise Sensitivity for Post-training Quantization of MLLMs
- GPTAQ: Efficient Finetuning-Free Quantization for Asymmetric Calibration
- FlatQuant: Flatness Matters for LLM Quantization
- Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution
- Fine-Grained Post-Training Quantization for Large Vision Language Models with Quantization-Aware Integrated Gradients
- SalQ-VLM: Fine-Grained Saliency-Guided Quantization for Vision-Language Models
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