Multi-Modal14 [2025-2] 백승우 - UI-TARS: Pioneering Automated GUI Interaction with Native Agents UI-TARS: Pioneering Automated GUI Interaction with Native AgentsThis paper introduces UI-TARS, a native GUI agent model that solely perceives the screenshots as input and performs human-like interactions (e.g., keyboard and mouse operations). Unlike prevailing agent frameworks that depend on heavily wrapped commercialarxiv.org 2025. 7. 30. [2025-1] 백승우 - GUI Agent by Script-based Automation 2025. 7. 4. [2025-1]박제우 - Scaling Language-Image Pre-training via Masking https://arxiv.org/abs/2212.00794 Scaling Language-Image Pre-training via MaskingWe present Fast Language-Image Pre-training (FLIP), a simple and more efficient method for training CLIP. Our method randomly masks out and removes a large portion of image patches during training. Masking allows us to learn from more image-text pairs givearxiv.org https://blog.outta.ai/284 본 논문은 지난번 리뷰했던 자연어 지도 학습 모.. 2025. 5. 17. [2025-1] 박제우 - CLIP : Learning Transferable Visual Models From Natural Language Supervision https://arxiv.org/abs/2103.00020 Learning Transferable Visual Models From Natural Language SupervisionState-of-the-art computer vision systems are trained to predict a fixed set of predetermined object categories. This restricted form of supervision limits their generality and usability since additional labeled data is needed to specify any other visual concept. Learning directly from raw text .. 2025. 5. 6. 이전 1 2 3 4 다음
