German Also Hallucinates! Inconsistency Detection in News Summaries with the Absinth Dataset (2024.lrec-main)
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| Challenge: | Large Language Models (LLMs) have made significant progress on a wide range of natural language processing tasks, but they still suffer from hallucinating information in their output. |
| Approach: | They propose to use an annotated dataset to detect hallucinations in german news summarization and open-source it to foster further research on hallucinosity detection in german. |
| Outcome: | The proposed model can detect hallucinations in the output and evaluate the faithfulness of the summaries. |
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