[논문리뷰] EpiCaR: Knowing What You Don't Know Matters for Better Reasoning in LLMsarXiv에 게시된 'EpiCaR: Knowing What You Don't Know Matters for Better Reasoning in LLMs' 논문에 대한 자세한 리뷰입니다.#Review#LLM Reasoning#Model Calibration#Epistemic Uncertainty#Self-Training#Supervised Fine-tuning#Confidence-Informed Self-Consistency#Model Collapse2026년 1월 13일댓글 수 로딩 중
[논문리뷰] Boosting Unsupervised Video Instance Segmentation with Automatic Quality-Guided Self-TrainingDim P. Papadopoulos이 arXiv에 게시한 'Boosting Unsupervised Video Instance Segmentation with Automatic Quality-Guided Self-Training' 논문에 대한 자세한 리뷰입니다.#Review#Unsupervised Video Instance Segmentation#Self-Training#Quality Assessment#Pseudo-labeling#Domain Adaptation#VideoMask2Former#YouTubeVIS2025년 12월 9일댓글 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