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Xueyi Pu

ACL 2026×3ICML 2026多模态对齐与偏好评测与基准智能体与工具检索与知识
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0 一作 · 4 篇 · ACL 2026 / ICML 2026

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2026 顶会论文

4
作者位次 #6/10ACL 2026Poster· Natural Language Processing

SD ia R eward: Modeling and Benchmarking Spoken Dialogue Rewards with Modality and Colloquialness

Jingyu Lu · Yuhan Wang · fan zhuo · Xize Cheng · Changhao Pan · Xueyi Pu · Yifu Chen · Chenyuhao Wen · Tianle Liang · Zhou Zhao

摘要

The rapid evolution of end-to-end spoken dialogue systems demands transcending mere textual semantics to incorporate paralinguistic nuances and the spontaneous nature of human conversation. However, current methods struggle with two critical gaps: the modality gap, involving prosody and emotion,...

多模态对齐与偏好评测与基准OpenReview 项目页
作者位次 #8/10ACL 2026Poster· Natural Language Processing

V ox M ind: An End-to-End Agentic Spoken Dialogue System

Tianle Liang · Yifu Chen · Shengpeng Ji · Yijun Chen · Zhiyang Jia · Jingyu Lu · fan zhuo · Xueyi Pu · Yangzhuo Li · Zhou Zhao

摘要

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 struggle to cope. Incorporating agentic capabilities is therefore essential: by enabling tool use, these models can...

智能体与工具检索与知识推理OpenReview 项目页
作者位次 #10/12ACL 2026Findings· Findings of ACL

W av A lign: Enhancing Intelligence and Expressiveness in Spoken Dialogue Models via Adaptive Hybrid Post-Training

Yifu Chen · Shengpeng Ji · Qian Chen · Tianle Liang · Yangzhuo Li · Ziqing Wang · Wen Wang · Jingyu Lu · Haoxiao Wang · Xueyi Pu · fan zhuo · Zhou Zhao

摘要

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. However, the intelligence and expressiveness of current open-source spoken dialogue models often remain below expecta...

强化学习与后训练对齐与偏好多模态OpenReview 项目页

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