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Spoken Language Models that Think Aloud

Paper recorded by Signals 4 on 2026-09-22 in cs.CL. Abstract reproduced from arXiv; link to the original below.

Published 2026-09-22 on arXiv · recorded by Signals 4 on 2026-09-23

Category: cs.CL · 自然语言处理 · first seen 2026-09-23

Abstract

While Chain-of-Thought (CoT) reasoning has improved the capability of language models, directly applying it to Spoken Language Models (SLMs) may introduce long silent intervals under the serial "think-then-speak" paradigm, disrupting real-time spoken interaction. To address this issue, we propose an asynchronous think-aloud framework for reasoning-based SLMs within the Thinker-Talker architecture.

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#13 most recent of 227 cs.CL papers we have recorded · ↑ newer: Calibration as a First-Class Criterion in LLM Evaluation · ↓ older: Behavior is Not Enough: A Mechanism-Based Evaluation of Social Norm Em
Cite this page: Spoken Language Models that Think Aloud: the #13 most recent of 227 cs.CL papers we have recorded (as of 2026-09-22). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/spoken-language-models-that-think-aloud.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json
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