AINeutralarXiv – CS AI · 14h ago6/10
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Should We be Pedantic About Reasoning Errors in Machine Translation?
Researchers identified systematic reasoning errors in machine translation systems across seven language pairs, finding that while these errors can be detected with high precision in some languages like Urdu, correcting them produces minimal improvements in translation quality. This suggests that reasoning traces in neural machine translation models lack genuine faithfulness to their outputs, raising questions about the reliability of reasoning-based approaches in translation systems.