RetroThinker: Enabling Retrospective Thinking in Speech LLMs — Paper

Abstract

Speech large language models (SpeechLLMs) offer reduced latency and retain paralinguistic nuances that are typically lost in cascaded automatic speech recognition (ASR) and text-based LM architectures. However, they continue to lag behind text-only LLMs on complex reasoning tasks, while real-time spoken interaction imposes strict latency constraints. Although prior works employ Chain-of-Thought (CoT) and concurrent reasoning to enhance reasoning capabilities without inducing prohibitive delays, an inherent accuracy-latency trade-off persists. In this paper, we investigate whether a streaming SpeechLLM can dynamically revise its reasoning traces on the fly. We introduce RetroThinker, a multi-stage post-training framework that equips the Moshi model to self-verify and forward-correct CoT steps during inference. RetroThinker combines supervised fine-tuning (SFT) on curated retrospective thinking data with length-based direct preference optimization (DPO) to optimize retrospective during early reasoning (i.e., reasoning concurrently while the user speaks). Evaluated on the GSM8K benchmark, RetroThinker significantly improves the accuracy-latency trade-off over non-retrospective baselines, achieving an 11% absolute accuracy gain at a comparable latency.

Authors 4

Yi-Jen Shih, Puyuan Peng, Abdelrahman Mohamed, David Harwath

Specification

Official page: arxiv.org/abs/2609.11864
Source:arXiv (Atom API + RSS)T1observed 7 h agohigh
Arxiv announce type: cross
Source:arXiv (Atom API + RSS)T1observed 7 h agohigh
arXiv id: 2609.11864
Source:arXiv (Atom API + RSS)T1observed 7 h agohigh
Categories: eess.AS, cs.AI, cs.CL
Source:arXiv (Atom API + RSS)T1observed 7 h agohigh
PDF: arxiv.org/pdf/2609.11864
Source:arXiv (Atom API + RSS)T1observed 7 h agohigh
Primary category: eess.AS
Source:arXiv (Atom API + RSS)T1observed 7 h agohigh
Published: 12 Sept 2026
Source:arXiv (Atom API + RSS)T1observed 6 min agohigh

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Provenance

Attributed facts

9

Source tiers

T19

Freshest observation

6 min ago

Conflicts

None

No models linked to this paper yet.

Authors: Yi-Jen Shih, Puyuan Peng, Abdelrahman Mohamed

As of

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Claim history · Official page

1 claims · 1 propertiesShow all properties

Official pageofficial_url1

Claim history for Official page
Value	Valid from → to	Status	Source	Confidence	Extractor
https://arxiv.org/abs/2609.11864	11 Sept 2026 21:03 UTC → current	current	arXiv (Atom API + RSS)T1	high	deterministic

Claims are temporal and append-only: a new observation closes the previous claim (valid_to) instead of overwriting it. Conflicting claims from different sources are kept side by side and flagged — never averaged. Methodology →

12 Sept 2026
Property changedPaperRetroThinker: Enabling Retrospective Thinking in Speech LLMs
RetroThinker: Enabling Retrospective Thinking in Speech LLMs: published at changed from 2026-09-11T04:00:00+00:00 to 2026-09-12T04:00:00+00:00
Published11 Sept 2026→12 Sept 2026arxiv
rss.arxiv.org
11 Sept 2026
New paperPaperRetroThinker: Enabling Retrospective Thinking in Speech LLMs
New paper: RetroThinker: Enabling Retrospective Thinking in Speech LLMs
arxiv
rss.arxiv.org

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Source documents
Source	Document	Type	Tier	Last observed	Snapshots
arXiv (Atom API + RSS)	rss.arxiv.org/rss/cs.AI	feed	T1· Official	6 min ago	2
arXiv (Atom API + RSS)	rss.arxiv.org/rss/cs.CL	feed	T1· Official	6 min ago	1

Tier 1 = official/primary, 2 = quality secondary, 3 = community, 4 = unverified. Every snapshot is archived; see all sources and the methodology.