Papers with HaluEval 2.0

1 papers
The Dawn After the Dark: An Empirical Study on Factuality Hallucination in Large Language Models (2024.acl-long)

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Challenge: a growing number of researchers are studying the hallucination issue in large language models.
Approach: They propose a hallucination detection benchmark and a method to detect hallucines in LLMs.
Outcome: The proposed method detects hallucinations and mitigates them using different training stages.

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