5 papers
Are We Making Progress in Multimodal Domain Generalization? A Comprehensive Benchmark Study
Hao Dong, Hongzhao Li, Shupan Li +3
Despite the growing popularity of Multimodal Domain Generalization (MMDG) for enhancing model robustness, it remains unclear whether reported performance gains reflect genuine algo…
Balancing Multimodal Domain Generalization via Gradient Modulation and Projection
Hongzhao Li, Guohao Shen, Shupan Li +2
Multimodal Domain Generalization (MMDG) leverages the complementary strengths of multiple modalities to enhance model generalization on unseen domains. A central challenge in multi…
Towards Multimodal Domain Generalization with Few Labels
Hongzhao Li, Hao Dong, Hualei Wan +3
Multimodal models ideally should generalize to unseen domains while remaining data-efficient to reduce annotation costs. To this end, we introduce and study a new problem, Semi-Sup…
PE: A Poincare Explanation Method for Fast Text Hierarchy Generation
Qian Chen, Dongyang Li, Xiaofeng He +2
The black-box nature of deep learning models in NLP hinders their widespread application. The research focus has shifted to Hierarchical Attribution (HA) for its ability to model f…
Prompt-Guided Generation of Structured Chest X-Ray Report Using a Pre-trained LLM
Hongzhao Li, Hongyu Wang, Xia Sun +2
Medical report generation automates radiology descriptions from images, easing the burden on physicians and minimizing errors. However, current methods lack structured outputs and…