[논문리뷰] Internalizing Meta-Experience into Memory for Guided Reinforcement Learning in Large Language ModelsZhen Fang이 arXiv에 게시한 'Internalizing Meta-Experience into Memory for Guided Reinforcement Learning in Large Language Models' 논문에 대한 자세한 리뷰입니다.#Review#Reinforcement Learning#Large Language Models#Meta-Learning#Error Attribution#Knowledge Internalization#Self-Distillation#Verifiable Rewards2026년 2월 11일댓글 수 로딩 중
[논문리뷰] CogFlow: Bridging Perception and Reasoning through Knowledge Internalization for Visual Mathematical Problem SolvingTao Feng이 arXiv에 게시한 'CogFlow: Bridging Perception and Reasoning through Knowledge Internalization for Visual Mathematical Problem Solving' 논문에 대한 자세한 리뷰입니다.#Review#Multimodal LLMs#Visual Reasoning#Mathematical Problem Solving#Knowledge Internalization#Reinforcement Learning#Cognitive-Inspired AI#Perception-Reasoning Alignment2026년 1월 6일댓글 수 로딩 중