AlignAtt4LLM adapts AlignAtt to decoder-only LLMs via prompt layout, head selection, and attention replay, outperforming IWSLT 2026 baselines for En-De and En-It at ~2s and <4s latency.
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ESRT achieves SOTA many-to-many S2TT across 45 languages on FLEURS via edge-cloud split inference that compresses features 10x and a multi-task curriculum learning strategy for cross-lingual balance.
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AlignAtt4LLM: Fast AlignAtt for Decoder-Only LLMs at IWSLT 2026 Simultaneous Speech Translation Task
AlignAtt4LLM adapts AlignAtt to decoder-only LLMs via prompt layout, head selection, and attention replay, outperforming IWSLT 2026 baselines for En-De and En-It at ~2s and <4s latency.
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Bandwidth-Efficient and Privacy-Preserving Edge-Cloud Many-to-Many Speech Translation
ESRT achieves SOTA many-to-many S2TT across 45 languages on FLEURS via edge-cloud split inference that compresses features 10x and a multi-task curriculum learning strategy for cross-lingual balance.