Zongwei Luo — accepted AI-conference papers

2025

Eliciting Causal Abilities in Large Language Models for Reasoning Tasks

Yajing Wang, Zongwei Luo, Jingzhe Wang, Zhanke Zhou, Yongqiang Chen, Bo Han

AAAI 2025technical

Prompt optimization automatically refines prompting expressions, unlocking the full potential of LLMs in downstream tasks. However, current prompt optimization methods are costly to train and lack sufficient interpretability. This paper proposes enhancing LLMs' reasoning performance by eliciting the…

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2023

Causal Discovery and Causal Inference Based Counterfactual Fairness in Machine Learning

Yajing Wang, Zongwei Luo

ICASSP 2023accepted

The fairness problem arouses attention in machine learning. One problem with traditional counterfactual fairness is the assumed causal models are constrained by prior knowledge. We propose a framework named Structural Causal Fairness Framework (SCFF) to achieve counterfactual fairness without assump…

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