Papers with Knowledge-grounded conversational models
On the Origin of Hallucinations in Conversational Models: Is it the Datasets or the Models? (2022.naacl-main)
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| Challenge: | Existing knowledge-grounded conversational benchmarks produce factually invalid statements, a phenomenon commonly called hallucination. |
| Approach: | They conduct a human study on knowledge-grounded conversational benchmarks and state-of-the-art models. |
| Outcome: | The findings raise important questions on the quality of existing datasets and models. |