[논문리뷰] Heterogeneous Agent Collaborative Reinforcement LearningarXiv에 게시된 'Heterogeneous Agent Collaborative Reinforcement Learning' 논문에 대한 자세한 리뷰입니다.#Review#Reinforcement Learning#Large Language Models#Multi-Agent Systems#Policy Optimization#Heterogeneous Agents#Sample Efficiency#Knowledge Transfer#RLVR2026년 3월 4일댓글 수 로딩 중
[논문리뷰] FedRE: A Representation Entanglement Framework for Model-Heterogeneous Federated LearningSimin Chen이 arXiv에 게시한 'FedRE: A Representation Entanglement Framework for Model-Heterogeneous Federated Learning' 논문에 대한 자세한 리뷰입니다.#Review#Federated Learning#Model Heterogeneity#Representation Learning#Privacy Preservation#Communication Efficiency#Entangled Representation#Knowledge Transfer2025년 11월 30일댓글 수 로딩 중
[논문리뷰] Does Understanding Inform Generation in Unified Multimodal Models? From Analysis to Path ForwardarXiv에 게시된 'Does Understanding Inform Generation in Unified Multimodal Models? From Analysis to Path Forward' 논문에 대한 자세한 리뷰입니다.#Review#Unified Multimodal Models#Understanding-Generation Gap#Reasoning#Knowledge Transfer#Chain-of-Thought#Self-Training#Synthetic Data#Evaluation Framework2025년 11월 25일댓글 수 로딩 중
[논문리뷰] P1: Mastering Physics Olympiads with Reinforcement LearningHaiyuan Wan이 arXiv에 게시한 'P1: Mastering Physics Olympiads with Reinforcement Learning' 논문에 대한 자세한 리뷰입니다.#Review#Reinforcement Learning#Large Language Models#Physics Reasoning#Agentic AI#Olympiad Problems#Post-Training#Knowledge Transfer2025년 11월 17일댓글 수 로딩 중
[논문리뷰] Code2Video: A Code-centric Paradigm for Educational Video GenerationarXiv에 게시된 'Code2Video: A Code-centric Paradigm for Educational Video Generation' 논문에 대한 자세한 리뷰입니다.#Review#Educational Video Generation#Code-centric AI#Multi-agent Framework#Manim#Vision-Language Models#Knowledge Transfer#Code Generation#MMMC Benchmark2025년 10월 2일댓글 수 로딩 중
[논문리뷰] When Big Models Train Small Ones: Label-Free Model Parity Alignment for Efficient Visual Question Answering using Small VLMsAnand Mishra이 arXiv에 게시한 'When Big Models Train Small Ones: Label-Free Model Parity Alignment for Efficient Visual Question Answering using Small VLMs' 논문에 대한 자세한 리뷰입니다.#Review#VQA#Small VLMs#Large VLMs#Knowledge Transfer#Pseudo-labeling#Label-Free Learning#Model Parity Alignment#Computational Efficiency2025년 9월 23일댓글 수 로딩 중
[논문리뷰] Improving Large Vision and Language Models by Learning from a Panel of PeersSimon Jenni이 arXiv에 게시한 'Improving Large Vision and Language Models by Learning from a Panel of Peers' 논문에 대한 자세한 리뷰입니다.#Review#Large Vision and Language Models (LVLMs)#Self-Improvement#Peer Learning#Preference Alignment#Reward Modeling#Multimodal Learning#Knowledge Transfer2025년 9월 3일댓글 수 로딩 중