15 citations · 79 across the 25 of their papers we have counts for
25 papers
Unbiased Visual Reasoning with Controlled Visual Inputs
Zhaonan Li, Shijie Lu, Fei Wang +11
End-to-end Vision-language Models (VLMs) often answer visual questions by exploiting spurious correlations instead of causal visual evidence, and can become more shortcut-prone whe…
Individual Causal Inference with Structural Causal Model
Daniel T. Chang
Individual causal inference (ICI) uses causal inference methods to understand and predict the effects of interventions on individuals, considering their specific characteristics /…
Hypergraph: A Unified and Uniform Definition with Application to Chemical Hypergraph and More
Daniel T. Chang
The conventional definition of hypergraph has two major issues: (1) there is not a standard definition of directed hypergraph and (2) there is not a formal definition of nested hyp…
Concept-Oriented Deep Learning with Large Language Models
Daniel T. Chang
Large Language Models (LLMs) have been successfully used in many natural-language tasks and applications including text generation and AI chatbots. They also are a promising new te…
Variational Quantum Classifiers for Natural-Language Text
Daniel T. Chang
As part of the recent research effort on quantum natural language processing (QNLP), variational quantum sentence classifiers (VQSCs) have been implemented and supported in lambeq…
Variational Quantum Kernels with Task-Specific Quantum Metric Learning
Daniel T. Chang
Quantum kernel methods, i.e., kernel methods with quantum kernels, offer distinct advantages as a hybrid quantum-classical approach to quantum machine learning (QML), including app…