Augmenting standard offline training data with only 1% randomly truncated simultaneous examples activates real-time translation output in large audio-language models with no architecture or decoding changes.
Monotonic infinite lookback attention for simul- taneous machine translation
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Direct Simultaneous Translation Activation for Large Audio-Language Models
Augmenting standard offline training data with only 1% randomly truncated simultaneous examples activates real-time translation output in large audio-language models with no architecture or decoding changes.