Papers with English hallucination detection dataset

2 papers
ANHALTEN: Cross-Lingual Transfer for German Token-Level Reference-Free Hallucination Detection (2024.acl-srw)

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Challenge: ANHALTEN is a new evaluation dataset that extends the English hallucination detection dataset to German.
Approach: They propose a dataset that extends the English hallucination detection dataset to German . they show that larger context length leads to better halluciation detection in german .
Outcome: ANHALTEN is the first evaluation dataset that extends the English hallucination detection dataset to German.
How Much Do LLMs Hallucinate across Languages? On Realistic Multilingual Estimation of LLM Hallucination (2025.emnlp-main)

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Challenge: despite LLMs becoming increasingly multilingual, most studies on detecting and quantifying LLM hallucination are English-centric .
Approach: They train a multilingual hallucination detection model and conduct a large-scale study across 30 languages and 6 open-source LLM families.
Outcome: The proposed model is based on an English-centric model and annotates gold data for five high-resource languages.

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