Papers with event relation analysis

1 papers
UERLens: Understanding Event Relations in Large Language Models (2026.acl-short)

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Challenge: Existing studies on event relation extraction (ERE) have focused on improving model performance.
Approach: They propose an interpretability framework for understanding event relations in large language models . they first construct a counterfactual dataset that includes causal, temporal, and sub-event relations .
Outcome: The proposed framework improves event relation extraction by leveraging internal features to train a lightweight classifier.

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