Chuanhong Zhan — accepted AI-conference papers

2025

Evaluating Instructively Generated Statement by Large Language Models for Directional Event Causality Identification

Wei Xiang, Chuanhong Zhan, Qing Zhang, Bang Wang

ACL 2025finding

This paper aims to identify directional causal relations between events, including the existence and direction of causality. Previous studies mainly adopt prompt learning paradigm to predict a causal answer word based on a Pre-trained Language Model (PLM) for causality existence identification. Howe…

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2024

What Would Happen Next? Predicting Consequences from An Event Causality Graph

Chuanhong Zhan, Wei Xiang, Liang Chao, Bang Wang

EMNLP 2024finding

Existing script event prediction task forcasts the subsequent event based on an event script chain. However, the evolution of historical events are more complicated in real world scenarios and the limited information provided by the event script chain also make it difficult to accurately predict sub…

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