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Yi-Jen Shih

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#artificial intelligence Preprint Sep 2026

MP-Bench: Evaluating Voice Agents as a Multiparty Conversation Participant

Multiparty Bench is introduced, the first benchmark specifically designed to objectively evaluate conversational speech systems as active participants within multi-party contexts and assesses agent behavior along two primary dimensions: turn-taking awareness and response appropriateness.

Yi-Jen Shih, S. Kuan, Guan-Ting Lin et al. · 2 citations · ⚡1
#artificial intelligence Preprint Sep 2026

RetroThinker: Enabling Retrospective Thinking in Speech LLMs

Speech large language models (SpeechLLMs) offer reduced latency and retain paralinguistic nuances that are typically lost in cascaded automatic speech recognition (ASR) and text-based LM architectures. However, they continue to lag behind text-only LLMs on complex reasoning tasks, while real-time spoken interaction imp...

Yi-Jen Shih, Pu-Yuan Peng, Abdel-rahman Mohamed et al. · 0 citations

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