Hallucination Evaluation
11 papers with code • 0 benchmarks • 1 datasets
Evaluate the ability of LLM to generate non-hallucination text or assess the capability of LLM to recognize hallucinations.
Benchmarks
These leaderboards are used to track progress in Hallucination Evaluation
XinhuaHallucinations
Most implemented papers
TruthX: Alleviating Hallucinations by Editing Large Language Models in Truthful Space
ictnlp/truthx
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During inference, by editing LLM's internal representations in truthful space, TruthX effectively enhances the truthfulness of LLMs.
