Summary of Trialbench: Multi-modal Artificial Intelligence-ready Clinical Trial Datasets, by Jintai Chen et al.
TrialBench: Multi-Modal Artificial Intelligence-Ready Clinical Trial Datasetsby Jintai Chen, Yaojun Hu, Yue Wang, Yingzhou Lu,…
TrialBench: Multi-Modal Artificial Intelligence-Ready Clinical Trial Datasetsby Jintai Chen, Yaojun Hu, Yue Wang, Yingzhou Lu,…
Efficient Long-distance Latent Relation-aware Graph Neural Network for Multi-modal Emotion Recognition in Conversationsby Yuntao Shou,…
Mitigate the Gap: Investigating Approaches for Improving Cross-Modal Alignment in CLIPby Sedigheh Eslami, Gerard de…
Multimodal Graph Benchmarkby Jing Zhu, Yuhang Zhou, Shengyi Qian, Zhongmou He, Tong Zhao, Neil Shah,…
LatentExplainer: Explaining Latent Representations in Deep Generative Models with Multimodal Large Language Modelsby Mengdan Zhu,…
Multi-modal Transfer Learning between Biological Foundation Modelsby Juan Jose Garau-Luis, Patrick Bordes, Liam Gonzalez, Masa…
M3T: Multi-Modal Medical Transformer to bridge Clinical Context with Visual Insights for Retinal Image Medical…
Rating Multi-Modal Time-Series Forecasting Models (MM-TSFM) for Robustness Through a Causal Lensby Kausik Lakkaraju, Rachneet…
Efficient and Long-Tailed Generalization for Pre-trained Vision-Language Modelby Jiang-Xin Shi, Chi Zhang, Tong Wei, Yu-Feng…
BIOSCAN-5M: A Multimodal Dataset for Insect Biodiversityby Zahra Gharaee, Scott C. Lowe, ZeMing Gong, Pablo…