[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] Adapting Vision-Language Models Without Labels: A Comprehensive SurveyEleni Chatzi이 arXiv에 게시한 'Adapting Vision-Language Models Without Labels: A Comprehensive Survey' 논문에 대한 자세한 리뷰입니다.#Review#Vision-Language Models (VLMs)#Unsupervised Adaptation#Test-Time Adaptation (TTA)#Domain Transfer#Multimodal Learning#Label-Free Learning#Zero-Shot Learning2025년 8월 11일댓글 수 로딩 중