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ICML2026AlgoOSAQ: Outlier Self-Absorption for Accurate Low-bit LLM Quantization

用离群值自吸收实现精确的低比特大模型量化。

ICLR2026AlgoSliderQuant: Accurate Post-Training Quantization for LLMs

层间/层内滑动量化的大模型训练后量化方法。

ICLR2026AlgoTask-related Token Compression in Multi-modal Large Language Models from an Explainability Perspective

从可解释性视角出发做任务相关的多模态 Token 压缩。

AlgoTowards Joint Quantization and Token Pruning of Vision-Language Models

将量化与视觉 Token 剪枝联合起来做的探索。

AlgoQAPruner: Quantization-Aware Vision Token Pruning for Multimodal Large Language Models

量化感知的视觉 Token 剪枝。