Two-tiered Encoder-based Hallucination Detection for Retrieval-Augmented Generation in the Wild (2024.emnlp-industry)
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| Challenge: | Existing solutions for hallucination detection do not consider latency, train or evaluate on production data. |
| Approach: | They propose to use customer service conversation data to evaluate existing methods . they propose to train small encoder models on a new dataset to outperform existing methods. |
| Outcome: | The proposed model outperforms existing methods and highlights the value of combining small amounts of in-domain data with public datasets. |
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