Author

Jia-Heng Dong

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#artificial intelligence Preprint Oct 2026

DuplexAct: How Interactive Are Frontier Full-Duplex Spoken Language Models?

End-to-end (E2E) full-duplex spoken language models (FD-SLMs) enable simutanous listening and speaking continously, requiring models to take appropriate interaction actions as conversations unfold. However, existing benchmarks lack a structured action-level formulation, often evaluate action occurrence rather than succ...

Jia-Heng Dong, Shi-Hong Tan, Gong-Ping Huang et al. · 0 citations

#artificial intelligence Preprint Sep 2026

Listen Then Reason: Perception-Grounded Test-Time Reinforcement Learning for Large Audio-Language Models

Perception-Grounded TTRL (PG-TTRL) is proposed, which aligns label-free test-time optimisation with perceptually grounded reasoning, encouraging the model to structure its reasoning more strongly on the audio input, showing the value of perceptual-grounding optimisation for test-time audio reasoning.

Jia-Heng Dong, Xiao-Feng Yu, Jean Honorio et al. · 0 citations