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        <title>Enhanced Hallucination Detection in Neural Machine Translation through Simple Detector Aggregation</title>
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    <abstract>Hallucinated translations pose significant threats and safety concerns when it comes to practical deployment of machine translation systems. Previous research works have identified that detectors exhibit complementary performance — different detectors excel at detecting different types of hallucinations. In this paper, we propose to address the limitations of individual detectors by combining them and introducing a straightforward method for aggregating multiple detectors. Our results demonstrate the efficacy of our aggregated detector, providing a promising step towards evermore reliable machine translation systems.</abstract>
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%0 Conference Proceedings
%T Enhanced Hallucination Detection in Neural Machine Translation through Simple Detector Aggregation
%A Himmi, Anas
%A Staerman, Guillaume
%A Picot, Marine
%A Colombo, Pierre
%A Guerreiro, Nuno M.
%Y Al-Onaizan, Yaser
%Y Bansal, Mohit
%Y Chen, Yun-Nung
%S Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
%D 2024
%8 November
%I Association for Computational Linguistics
%C Miami, Florida, USA
%F himmi-etal-2024-enhanced
%X Hallucinated translations pose significant threats and safety concerns when it comes to practical deployment of machine translation systems. Previous research works have identified that detectors exhibit complementary performance — different detectors excel at detecting different types of hallucinations. In this paper, we propose to address the limitations of individual detectors by combining them and introducing a straightforward method for aggregating multiple detectors. Our results demonstrate the efficacy of our aggregated detector, providing a promising step towards evermore reliable machine translation systems.
%R 10.18653/v1/2024.emnlp-main.1033
%U https://aclanthology.org/2024.emnlp-main.1033/
%U https://doi.org/10.18653/v1/2024.emnlp-main.1033
%P 18573-18583

Markdown (Informal)

[Enhanced Hallucination Detection in Neural Machine Translation through Simple Detector Aggregation](https://aclanthology.org/2024.emnlp-main.1033/) (Himmi et al., EMNLP 2024)

• Enhanced Hallucination Detection in Neural Machine Translation through Simple Detector Aggregation (Himmi et al., EMNLP 2024)

ACL

• Anas Himmi, Guillaume Staerman, Marine Picot, Pierre Colombo, and Nuno M Guerreiro. 2024. Enhanced Hallucination Detection in Neural Machine Translation through Simple Detector Aggregation. In Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, pages 18573–18583, Miami, Florida, USA. Association for Computational Linguistics.