Modeling Real-Time Interactive Conversations as Timed Diarized Transcripts

• URL: http://arxiv.org/abs/2405.13203v1
• Date: Tue, 21 May 2024 21:14:31 GMT
• Title: Modeling Real-Time Interactive Conversations as Timed Diarized Transcripts
• Authors: Garrett Tanzer, Gustaf Ahdritz, Luke Melas-Kyriazi,
• Abstract summary: We present a simple yet general method to simulate real-time interactive conversations using pretrained language models. We demonstrate the promise of this method with two case studies: instant messenger dialogues and spoken conversations.
• Score: 11.067252960486272
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: Chatbots built upon language models have exploded in popularity, but they have largely been limited to synchronous, turn-by-turn dialogues. In this paper we present a simple yet general method to simulate real-time interactive conversations using pretrained text-only language models, by modeling timed diarized transcripts and decoding them with causal rejection sampling. We demonstrate the promise of this method with two case studies: instant messenger dialogues and spoken conversations, which require generation at about 30 tok/s and 20 tok/s respectively to maintain real-time interactivity. These capabilities can be added into language models using relatively little data and run on commodity hardware.

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