See-Saw Modality Balance: See Gradient, and Sew Impaired Vision-Language Balance to Mitigate Dominant Modality Bias Paper • 2503.13834 • Published Mar 18 • 5
See-Saw Modality Balance: See Gradient, and Sew Impaired Vision-Language Balance to Mitigate Dominant Modality Bias Paper • 2503.13834 • Published Mar 18 • 5 • 2
VolDoGer: LLM-assisted Datasets for Domain Generalization in Vision-Language Tasks Paper • 2407.19795 • Published Jul 29, 2024 • 11
VolDoGer: LLM-assisted Datasets for Domain Generalization in Vision-Language Tasks Paper • 2407.19795 • Published Jul 29, 2024 • 11
SaulLM-54B & SaulLM-141B: Scaling Up Domain Adaptation for the Legal Domain Paper • 2407.19584 • Published Jul 28, 2024 • 66
Theia: Distilling Diverse Vision Foundation Models for Robot Learning Paper • 2407.20179 • Published Jul 29, 2024 • 48
SeaLLMs 3: Open Foundation and Chat Multilingual Large Language Models for Southeast Asian Languages Paper • 2407.19672 • Published Jul 29, 2024 • 58
VolDoGer: LLM-assisted Datasets for Domain Generalization in Vision-Language Tasks Paper • 2407.19795 • Published Jul 29, 2024 • 11 • 3
UniGen: Universal Domain Generalization for Sentiment Classification via Zero-shot Dataset Generation Paper • 2405.01022 • Published May 2, 2024
Multi-News+: Cost-efficient Dataset Cleansing via LLM-based Data Annotation Paper • 2404.09682 • Published Apr 15, 2024
GPTs Are Multilingual Annotators for Sequence Generation Tasks Paper • 2402.05512 • Published Feb 8, 2024
Colorful Cutout: Enhancing Image Data Augmentation with Curriculum Learning Paper • 2403.20012 • Published Mar 29, 2024
SoftEDA: Rethinking Rule-Based Data Augmentation with Soft Labels Paper • 2402.05591 • Published Feb 8, 2024
AutoAugment Is What You Need: Enhancing Rule-based Augmentation Methods in Low-resource Regimes Paper • 2402.05584 • Published Feb 8, 2024