AIBullisharXiv – CS AI · May 277/10
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Learning When to Think While Listening in Large Audio-Language Models
Researchers introduce a learnable control system for Large Audio-Language Models that dynamically decides when to process reasoning during real-time speech interactions. The approach balances responsiveness with accuracy by optimizing intermediate reasoning transparency, achieving 2.7% accuracy improvement while reducing latency on benchmark tasks.