Papers by Yingying Zhai

1 papers
ETRQA: A Comprehensive Benchmark for Evaluating Event Temporal Reasoning Abilities of Large Language Models (2025.findings-acl)

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Challenge: Event temporal reasoning (ETR) is a significant indicator that a large language model understands the physical world.
Approach: They propose a unified taxonomy for event temporal questions and construct a benchmark based on this taxonomies.
Outcome: The proposed taxonomy inherits and expands existing datasets and contains multiple categories of compound questions.

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