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Tangzheng Lian

2 accepted papers

2026

A Closed-Form Solution for Debiasing Vision-Language Models with Utility Guarantees Across Modalities and Tasks

CVPR 2026

While Vision-Language Models (VLMs) have achieved remarkable performance across diverse downstream tasks, recent studies have shown that they can inherit social biases from the training data and further propagate them into downstream applications. To address this issue, various debiasing approaches

Cited by 0SourcecodeScholar
2026

Fair Domain Generalization: An Information-Theoretic View

AAAI 2026technical

Domain generalization (DG) and algorithmic fairness are two key challenges in machine learning. However, most DG methods focus solely on minimizing expected risk in the unseen target domain, without considering algorithmic fairness. Conversely, fairness methods typically do not account for domain sh

Cited by 0SourcePDFScholar