新闻
ECHO: A Matched-Contrast Benchmark for Context-Sensitive Turn-Taking in Full-Duplex Dialogue
arXiv cs.AI · 发布于 · 阅读约3分钟
30秒读懂
- 发生了什么
- ECHO is a Chinese dialogue benchmark for testing full-duplex systems on context-sensitive turn-taking decisions between yielding and continuing speech.
- 为何重要
- Matters for engineers building conversational AI that handles overlapping speech and must distinguish interruptions from backchannels in real dialogue.
- 注意
- Benchmark is Chinese-language only. Existing systems show strong yield bias, suggesting interruption-only evaluation may mask practical reliability problems.
- eval
- benchmark
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