AINeutralarXiv – CS AI · 14h ago6/10
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ASPIRin: Action Space Projection for Interactivity-Optimized Reinforcement Learning in Full-Duplex Speech Language Models
Researchers propose ASPIRin, a reinforcement learning framework that improves full-duplex speech language models by separating turn-taking decisions from semantic generation. The method reduces repetitive output by over 50% compared to standard approaches while maintaining natural conversational dynamics.