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Guan-Rou Yang

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#computer vision Preprint Sep 2026

Omni Demand Understanding: A Benchmark for Contextual User-Intent Inference in Multimodal Interaction

Omni Demand Understanding is established as a distinct multimodal contextual inference problem: given an interaction stream, a model must detect whether a user demand is present and infer intent from multimodal and conversational context, and ODU is evaluated along five dimensions, covering both single-turn and multi-t...

Qi Chen, Yun-Fei Chu, Haolin He et al. · 1 citation · ⚡1

UltraVoice: Scaling Fine-Grained Style-Controlled Speech Conversations for Spoken Dialogue Models

The first large-scale speech dialogue dataset engineered for multiple fine-grained speech style control, UltraVoice, demonstrates substantial gains in core understanding, reasoning, and conversational abilities, and its utility extends to training controllable Text-to-Speech (TTS) models.

Wen-Ming Tu, Guanrou Yang, Rui-Qi Yan et al. · 3 citations · ⚡1

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