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Yanke Zhou

2 accepted papers

2026

Fair Conformal Classification via Learning Representation-Based Groups

ICLR 2026poster

Conformal prediction methods provide statistically rigorous marginal coverage guarantees for machine learning models, but such guarantees fail to account for algorithmic biases, thereby undermining fairness and trust. This paper introduces a fair conformal inference framework for classification task…

Cited by 0SourceScholar
2024

Exploring the Factual Consistency in Dialogue Comprehension of Large Language Models

NAACL 2024long

LLMs (Large Language Models) usually interact with users in the form of dialogue and generate responses following their instructions, which naturally require dialogue comprehension abilities. However, dialogue comprehension is a general language ability which is hard to be evaluated directly. In thi…