activity
20242026
collaborators

31 papers

cs.LG2026

X-OPD: Distilling Reasoning into Large Audio-Language Models via On-Policy Alignment

Dongjie Fu, Di Cao, Xize Cheng +6

While large audio-language models have achieved remarkable progress in auditory perception, they still lag behind text-based large language models in deep logical reasoning, primar…

eess.AS2026

Audio Editing in the Era of Foundation Models: A Survey

Changhao Pan, Yifei Fan, Fan Zhuo +13

Audio editing aims to modify a given synthetic or real-world audio signal to satisfy specific user needs. As a promising yet challenging direction in AIGC, it has attracted increas…

eess.AS2026

A Survey of Full-Duplex Spoken Dialogue Systems: Architectural Hierarchy, Interaction Ontology, and Decision State Machine

Jingyu Lu, Yuhan Wang, Jianming Luo +15

More than a dozen spoken dialogue systems have recently claimed to be "full-duplex," yet the term has been used to describe substantially different capabilities. Existing surveys c…

cs.SD2026

VoxMind: An End-to-End Agentic Spoken Dialogue System

Tianle Liang, Yifu Chen, Shengpeng Ji +7

Recent end-to-end spoken dialogue models enable natural interaction. However, as user demands become increasingly complex, models that rely solely on conversational abilities often…

cs.AI2026

WavAlign: Enhancing Intelligence and Expressiveness in Spoken Dialogue Models via Adaptive Hybrid Post-Training

Yifu Chen, Shengpeng Ji, Qian Chen +9

End-to-end spoken dialogue models have garnered significant attention because they offer a higher potential ceiling in expressiveness and perceptual ability than cascaded systems.…

cs.AI2026

Dual-Axis Generative Reward Model Toward Semantic and Turn-taking Robustness in Interactive Spoken Dialogue Models

Yifu Chen, Shengpeng Ji, Zhengqing Liu +6

Achieving seamless, human-like interaction remains a key challenge for full-duplex spoken dialogue models (SDMs). Reinforcement learning (RL) has substantially enhanced text- and v…