作者位次 #3/8ACL 2026Findings· Findings of ACL
SERE : Structural Example Retrieval for Enhancing LLM s in Event Causality Identification
Zhifeng Hao · Zhongjie Chen · Junhao Lu · Shengyin Yu · Guimin Hu · Keli Zhang · Ruichu Cai · Boyan Xu
摘要
Event Causality Identification (ECI) requires models to determine whether a given pair of events in a context exhibits a causal relationship. While Large Language Models (LLMs) have demonstrated strong performance across various NLP tasks, their effectiveness in ECI remains limited due to biases...