tuochao chen (@tuochao) profile picture
Joined February 2020
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In our ACL 2026 paper, we introduce AV-Dialog, the first full-duplex spoken dialogue model that combines audio and visual input to  converse in noisy, multi-speaker environments. Paper: aclanthology.org/2026.acl-lo… Webpage: avdialog.cs.washington.edu/
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2. Explicit turn-taking supervision is crucial. A dedicated control stream that predicts when to speak before determining what to say enhances response-timing accuracy in noise.
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3. Multi-stage training addresses data scarcity. We align text, audio, and vision using large-scale monadic audio/visual/text datasets, followed by fine-tuning on small-scale real conversations with interference augmentation.
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Today’s AI assistants passively wait for questions. But what if they could anticipate when to help-without explicit user invocation? Meet LlamaPIE, the first real-time proactive assistant to enhance  conversations via discreet, concise guidance delivered by hearable.#acl2025
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We bring LLAMAPIE to life in a fully integrated speech-to-speech setup, worn by users via a bone-conduction headset. We designed mock interviews and trivia tasks, where users engaged in casual conversations with several topic-specific questions.
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The user’s question-answering accuracy rose from 37% to 87% with proactive assistance. Compared to traditional reactive agents (e.g., ChatGPT voice mode), user response time - the interval between a question and the participant's verbal response - was reduced by 63.5%.
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