arXiv — NLP / Computation & Language · · 3 min read

Continue, Adapt, or Yield: In-Turn Adaptation to Overlapping Speech in Full-Duplex Agents

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Computer Science > Computation and Language

arXiv:2609.13117 (cs)
[Submitted on 11 Sep 2026]

Title:Continue, Adapt, or Yield: In-Turn Adaptation to Overlapping Speech in Full-Duplex Agents

View a PDF of the paper titled Continue, Adapt, or Yield: In-Turn Adaptation to Overlapping Speech in Full-Duplex Agents, by Yunqi Lu and 8 other authors
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Abstract:Full-duplex evaluation often emphasizes whether an agent keeps speaking or stops. That binary cannot express a third response humans use routinely: continuing to speak while incorporating what the listener just contributed. The contribution may be a missing word, a correction or a clarification. We introduce Duplex Cue, an evaluation of this \emph{in-turn adaptation} in full-duplex voice agents. Duplex Cue separates listener intent (backchannel, collaboration, or interruption) from speaker behavior: continuing unchanged, adapting within the turn, or yielding. Adaptation includes acknowledgment as well as content revision. In a single-model case study using 300 human-confirmed cues from unscripted English conversations, we compare recorded human responses with PersonaPlex continuations generated while replaying the listener's audio. We retain 208 pairs with the ongoing speaker active at cue onset and a scorable response in each condition. On the 66 collaborative pairs, recorded speakers adapt in 68.2\% of cases, compared with 34.8\% for PersonaPlex. The model otherwise continues unchanged (42.4\%) or yields (22.7\%). These findings show why evaluating natural voice interaction requires measuring how an agent responds to a listener's contribution as well as whether it keeps speaking.
Comments: 12 pages, 8 tables
Subjects: Computation and Language (cs.CL); Sound (cs.SD)
Cite as: arXiv:2609.13117 [cs.CL]
  (or arXiv:2609.13117v1 [cs.CL] for this version)
  https://doi.org/10.48550/arXiv.2609.13117
arXiv-issued DOI via DataCite (pending registration)

Submission history

From: Tyler Baumgartner [view email]
[v1] Fri, 11 Sep 2026 17:46:10 UTC (17 KB)
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