MAO: Efficient Model-Agnostic Optimization of Prompt Tuning for Vision-Language Models Paper • 2503.18160 • Published Mar 23, 2025
DPC: Dual-Prompt Collaboration for Tuning Vision-Language Models Paper • 2503.13443 • Published Mar 17, 2025 • 1
Raw Data Matters: Enhancing Prompt Tuning by Internal Augmentation on Vision-Language Models Paper • 2508.02671 • Published Aug 4, 2025 • 1
Decouple before Align: Visual Disentanglement Enhances Prompt Tuning Paper • 2508.00395 • Published Aug 1, 2025 • 1
Raw Data Matters: Enhancing Prompt Tuning by Internal Augmentation on Vision-Language Models Paper • 2508.02671 • Published Aug 4, 2025 • 1
DPC: Dual-Prompt Collaboration for Tuning Vision-Language Models Paper • 2503.13443 • Published Mar 17, 2025 • 1
CompassJudger-1: All-in-one Judge Model Helps Model Evaluation and Evolution Paper • 2410.16256 • Published Oct 21, 2024 • 61
WALL-E: World Alignment by Rule Learning Improves World Model-based LLM Agents Paper • 2410.07484 • Published Oct 9, 2024 • 51