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What is Detecting Hallucinations in NMT Models about?
This paper investigates hallucinations in Neural Machine Translation (NMT) by identifying internal model symptoms that characterize hallucinations and developing a lightweight detection model. The authors utilize saliency analysis and perturbations to compare token contributions in hallucinated versus non-hallucinated outputs, finding that certain source contribution patterns are strong indicators of hallucinations. The proposed detection model outperforms existing methods, demonstrating its effectiveness o
- Author
- shivanisingh7697
- Language
- EN