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ECHO: A Matched-Contrast Benchmark for Context-Sensitive Turn-Taking in Full-Duplex Dialogue

Paper recorded by Signals 4 on 2026-09-15 in cs.CL. Abstract reproduced from arXiv; link to the original below.

Published 2026-09-15 on arXiv · recorded by Signals 4 on 2026-09-16

Category: cs.CL · 自然语言处理 · first seen 2026-09-16

Abstract

Full-duplex spoken dialogue systems must distinguish interruptions that require yielding the floor from backchannels that permit continued speaking. Existing benchmarks typically evaluate events independently and may therefore reward fixed action preferences rather than context-sensitive decisions. We introduce ECHO, a paired diagnostic benchmark for Chinese full-duplex turn-taking. ECHO pairs exa

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#29 most recent of 186 cs.CL papers we have recorded · ↑ newer: Enhancing Accessibility of Medical Texts through Large Language Model- · ↓ older: Vroom-Vroom at SHROOM-Visions: A Multi-Judge Committee for Detecting H
Cite this page: ECHO: A Matched-Contrast Benchmark for Context-Sensitive Turn-Taking in Full-Duplex Dialogue: the #29 most recent of 186 cs.CL papers we have recorded (as of 2026-09-15). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/echo-a-matched-contrast-benchmark-for-context-sensitive-turn-taking-in-full-dupl.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json
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