Papers by Yachuan Liu

1 papers
ExAnte: A Benchmark for Ex-Ante Inference in Large Language Models (2026.eacl-long)

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Challenge: Large language models (LLMs) struggle with ex-ante reasoning—making inferences or predictions without access to future information.
Approach: They propose a benchmark that assesses LLMs’ ex-ante inference ability across four tasks: stock prediction, question answering, Wikipedia event generation, and scientific publication generation.
Outcome: The proposed benchmark assesses LLMs’ ex-ante inference ability across four tasks.

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