Thinking in Depth, Speaking Directly: Recurrent Latent Reasoning for Paralinguistically Grounded Spoken Dialogue

arXiv:2609.37818 · cs.CL, cs.AI · Submitted 2026-09-29 · Read on arXiv

cs.CL, cs.AI

Submitted: 2026-09-29

Updated: 2026-09-29

Terminology

• Accuracy — 16× in this paper · explained in 1 episode
• Latent Reasoning — 12× in this paper · explained in 2 episodes
• Benchmark — 8× in this paper · explained in 2 episodes
• Transformer — 8× in this paper · explained in 2 episodes
• Trace — 5× in this paper · explained in 2 episodes
• Ablation — 4× in this paper · explained in 1 episode
• Grounding — 4× in this paper · explained in 3 episodes
• Two-stage training — 3× in this paper · explained in 2 episodes
• Distillation — 2× in this paper · explained in 2 episodes
• Fine-Tuning — 2× in this paper · explained in 5 episodes
• Alignment — 1× in this paper · explained in 1 episode
• Chain-of-Thought (CoT) — 1× in this paper · explained in 4 episodes
• Chain-of-Thought Prompting — 1× in this paper · explained in 2 episodes
• Fidelity — 1× in this paper · explained in 2 episodes
• Frustration — 1× in this paper · explained in 2 episodes
• Iterative Refinement — 1× in this paper · explained in 3 episodes
• Latent Space — 1× in this paper · explained in 7 episodes
• Self-Distillation — 1× in this paper · explained in 7 episodes
• Thinking mode — 1× in this paper · explained in 2 episodes
• Transformer Architecture — 1× in this paper · explained in 2 episodes

Sources

• ParaBridge: Bridging Paralinguistic Perception and Dialogue Behavior in Speech Language Models
• Step-Audio-R1 Technical Report
• RecurTrace: Adaptive Latent Reasoning with Loop-Time Memory
• Qwen3-Omni Technical Report
• Heard but Not Heeded: Paralinguistic Information Encoding and Loss in Audio-Language Models
• Qwen2.5-Omni Technical Report
• Kimi-Audio Technical Report
• OSUM-EChat: Enhancing End-to-End Empathetic Spoken Chatbot via Understanding-Driven Spoken Dialogue
• MiniCPM-o 4.5: Towards Real-Time Full-Duplex Omni-Modal Interaction
• MiMo-Audio: Audio Language Models are Few-Shot Learners

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