The introduction of Trimodal Structured-Data Benchmark (TSDBench), an entity-centric benchmark for evaluating multimodal structured-data learning, highlights the need for more adaptive multimodal learning methods capable of selectively leveraging heterogeneous structured evidence.
Kai-Jie Cheng, Nuo-Yue Xu, Xing-Xuan Zhang et al.· AI Plus· 0 citations
Counterfactual prediction estimates an individual's outcome under an alternative intervention given their factual observations. Such outcomes are generally not identifiable from observational data without additional assumptions. Even within the class of fully observed additive noise models (ANMs), different causal grap...
Xin-Yan Han, Xiao-Yu Lin, Hao Zou et al.· 0 citations
We introduce LimiX-2, a new model in the LimiX family, developed through model and data scaling guided by our previously established scaling laws. LimiX-2 adopts the Contextual Mechanism Networks (CMNs) paradigm and is pretrained with Context-Conditional Masked Modeling (CCMM). CMNs shifts the organizing principle of i...
Xing-Xuan Zhang, Gang Ren, Hao Yuan et al.· 5 citations
DAG-FM is proposed, a novel foundation model architecture that amortizes causal discovery and introduces Mixture-of-Leaf-Experts (MoLE) to handle diverse and unknown Functional Causal Model (FCM) assumptions in real-world scenarios.
