Papers by Xiaoxuan Zhu

1 papers
DetectBench: Can Large Language Model Detect and Piece Together Implicit Evidence? (2024.findings-emnlp)

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Challenge: Existing LLMs' abilities to detect evidence in long contexts are far inferior to humans.
Approach: They propose a benchmark to assess LLMs' abilities in evidence and multi-step commonsense reasoning within a long context.
Outcome: The proposed method improves the performance of LLMs in evidence detection and commonsense reasoning.

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