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As large language models (LLMs) increasingly permeate daily lives, there is a growing demand for real-time interactions that mirror human conversations.
9. sex roles, interruptions and silences in conversation
Dean H Zimmerman and Candace West. 1996 · 1996
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Program synthesis with large language models
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Evaluating large language models trained on code
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Dan Hendrycks, Collin Burns, Saurav Kadavath, Akul Arora, Steven Basart, Eric Tang, Dawn Song, and Jacob Steinhardt. 2021 · 2021
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Webgpt: Browser-assisted question-answering with human feedback
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Turn-taking in conversational systems and human-robot interaction: a review
Gabriel Skantze. 2021 · 2021
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Soda: Million-scale dialogue distillation with social commonsense contextualization
Hyunwoo Kim, Jack Hessel, Liwei Jiang, Peter West, Ximing Lu, Youngjae Yu, Pei Zhou, Ronan Le Bras, Malihe Alikhani, Gunhee Kim, Maarten Sap, and Yejin Choi. 2022 · 2022
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Role play with large language models
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Character-llm: A trainable agent for role-playing
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Challenging big-bench tasks and whether chain-of-thought can solve them
Mirac Suzgun, Nathan Scales, Nathanael Schärli, Sebastian Gehrmann, Yi Tay, Hyung Won Chung, Aakanksha Chowdhery, Quoc Le, Ed Chi, Denny Zhou, et al. 2023 · 2023
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Gemini: a family of highly capable multimodal models
Gemini Team, Rohan Anil, Sebastian Borgeaud, Yonghui Wu, Jean-Baptiste Alayrac, Jiahui Yu, Radu Soricut, Johan Schalkwyk, Andrew M Dai, Anja Hauth, et al. 2023 · 2023
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