2026
Generalizing Bayesian Human-AI Collaboration: Theory and Application in Data-Scarce Environments
IJCAI 2026
Combining predictions from heterogeneous classifiers—such as in-house deep learning models, human experts, and large language models (LLMs)—is a key challenge, especially in data-scarce environments such as humanitarian operations. We propose a flexible Bayesian framework to effectively fuse these d