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Large Language Models Know What To Say But Not When To Speak
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Description: Experimentally collected participant-labeled TRPs, collected at the Human Interaction Lab at Tufts University, and released as part of the paper "Large Language Models Know what to Say But Not When to Speak", EMNLP 2024.
This project provides a dataset for exploring the timing of conversational turns, specifically focusing on identifying and predicting Transition Relevance Places (TRPs). TRPs are points during speech where a listener could potentially take over the conversation. This dataset is particularly useful for improving turn-taking capabilities in spoken dialogue systems, which are crucial for developing a…
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