AI Research
All In Good Time: Causality-Aware Framework for LLM-Based Simultaneous Speech-to-Speech Translation
Bridging the gap between real-time speech translation and language model reasoning.
Large Language Models (LLMs) have shown strong performance in low-resource offline translation; however, extending them to simultaneous speech-to-speech translation (Simul-S2ST) remains challenging due to the scarcity of causally aligned training data with high cross-lingual spea...
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ArXiv CS.CL
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ArXiv CS.CL
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This research overcomes a critical bottleneck by enabling LLMs to handle real-time speech translation without requiring perfectly aligned causal training data. By integrating causality-aware mechanisms, the framework improves streaming efficiency and reduces latency for cross-lingual communication.
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