[논문리뷰] ROCKET: Rapid Optimization via Calibration-guided Knapsack Enhanced Truncation for Efficient Model CompressionarXiv에 게시된 'ROCKET: Rapid Optimization via Calibration-guided Knapsack Enhanced Truncation for Efficient Model Compression' 논문에 대한 자세한 리뷰입니다.#Review#Model Compression#LLM#Training-Free#Knapsack Problem#Sparse Matrix Factorization#Dictionary Learning#Post-Training Optimization#Weight Sparsification2026년 2월 11일댓글 수 로딩 중
[논문리뷰] Knapsack RL: Unlocking Exploration of LLMs via Optimizing Budget AllocationarXiv에 게시된 'Knapsack RL: Unlocking Exploration of LLMs via Optimizing Budget Allocation' 논문에 대한 자세한 리뷰입니다.#Review#Large Language Models (LLMs)#Reinforcement Learning (RL)#Exploration Budget Allocation#Knapsack Problem#Group Relative Policy Optimization (GRPO)#Mathematical Reasoning#Resource Optimization2025년 10월 2일댓글 수 로딩 중