[논문리뷰] Model-Based and Sample-Efficient AI-Assisted Math Discovery in Sphere PackingJun Wang이 arXiv에 게시한 'Model-Based and Sample-Efficient AI-Assisted Math Discovery in Sphere Packing' 논문에 대한 자세한 리뷰입니다.#Review#Sphere Packing#Mathematical Discovery#Semidefinite Programming (SDP)#Bayesian Optimization (BO)#Monte Carlo Tree Search (MCTS)#Sample-Efficient AI#Model-Based Learning#Geometric Constraints2025년 12월 4일댓글 수 로딩 중
[논문리뷰] Dr.LLM: Dynamic Layer Routing in LLMsarXiv에 게시된 'Dr.LLM: Dynamic Layer Routing in LLMs' 논문에 대한 자세한 리뷰입니다.#Review#Dynamic Routing#LLMs#Adaptive Depth#Computational Efficiency#Monte Carlo Tree Search (MCTS)#Retrofittable Framework#Supervised Learning#Accuracy Improvement2025년 10월 15일댓글 수 로딩 중
[논문리뷰] DeepSearch: Overcome the Bottleneck of Reinforcement Learning with Verifiable Rewards via Monte Carlo Tree SearcharXiv에 게시된 'DeepSearch: Overcome the Bottleneck of Reinforcement Learning with Verifiable Rewards via Monte Carlo Tree Search' 논문에 대한 자세한 리뷰입니다.#Review#Reinforcement Learning with Verifiable Rewards (RLVR)#Monte Carlo Tree Search (MCTS)#Mathematical Reasoning#Large Language Models (LLMs)#Systematic Exploration#Adaptive Training#Tree-GRPO2025년 10월 2일댓글 수 로딩 중