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Enhanced Hallucination Detection in Neural Machine Translation through Simple Detector Aggregation
Hallucinated translations pose significant threats and safety concerns when it comes to the practical deployment of machine translation systems.
Towards More Robust NLP System Evaluation: Handling Missing Scores in Benchmarks
This paper formalize an existing problem in NLP research: benchmarking when some systems scores are missing on the task, and proposes a novel approach to address it.
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