AINeutralarXiv – CS AI · Apr 206/10
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MTR-DuplexBench: Towards a Comprehensive Evaluation of Multi-Round Conversations for Full-Duplex Speech Language Models
Researchers introduce MTR-DuplexBench, a new evaluation framework for Full-Duplex Speech Language Models that enables real-time overlapping conversations. The benchmark addresses critical gaps by assessing multi-round interactions across conversational quality, instruction-following, and safety dimensions, revealing that current FD-SLMs struggle with consistency across multiple communication rounds.