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Settling operators can significantly boost accuracy on unseen tasks, transforming additional iterations into a performance advantage rather than a risk of degradation.
Null tokens can serve as a powerful diagnostic tool for hallucination in ASR and NMT, revealing a trade-off between suppressing fabrication and maintaining valid outputs.
Language is a major, underappreciated domain shift factor in spoof detection, with performance varying wildly across languages even under controlled conditions.