#SVD & Low-Rank

2026

• 05-15 EN

  Zero Sum SVD: A Global, Loss-Aware Rank Budget for LLM Compression

• 05-15 中

  Zero Sum SVD：用「损失零和」做全局奇异值预算分配的 LLM 压缩方法

• 05-08 EN

  Swift-SVD: Activation-Aware Low-Rank Compression for LLM Weights and KV Cache

• 05-01 EN

  Low-Rank Optimization Trajectories for LLM RLVR Acceleration: A Technical Review of NExt

• 04-10 EN

  SVD-LLM: Truncation-aware Singular Value Decomposition for Large Language Model Compression — Deep Technical Review

• 04-10 中

  SVD-LLM：面向大语言模型压缩的“截断感知”奇异值分解方法 — 深度阅读笔记

• 03-27 EN

  GaLore: Memory-Efficient LLM Training by Gradient Low-Rank Projection — In-Depth Technical Review

• 03-23 EN

  MiRA: A Subgoal-driven Framework for Improving Long-Horizon LLM Agents — Technical Review

• 03-13 EN

  LoRA: Fine-Tuning Giant Models with Pocket Change — The Low-Rank Revolution