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Affect recognition, encompassing emotions, moods, and feelings, plays a pivotal role in human communication.
Constants across cultures in the face and emotion
Paul Ekman and W V Friesen. 1971 · 1971
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A circumplex model of affect
James A. Russell. 1980 · 1980
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Affective Computing
Rosalind W. Picard. 1997 · 1997
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Emotional intelligence meets traditional standards for an intelligence
John D Mayer, David R Caruso, and Peter Salovey. 1999 · 1999
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Emotion regulation: Affective, cognitive, and social consequences
James J. Gross. 2002 · 2002
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IEMOCAP: interactive emotional dyadic motion capture database
Carlos Busso, Murtaza Bulut, Chi-Chun Lee, Abe Kazemzadeh, Emily Mower, Samuel Kim, Jeannette N. Chang, Sungbok Lee, and Shrikanth S. Narayanan. 2008 · 2008
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The PHQ-8 as a measure of current depression in the general population
Kurt Kroenke, Tara W Strine, Robert L Spitzer, Janet B W Williams, Joyce T Berry, and Ali H Mokdad. 2008 · 2008
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Speech and language processing : an introduction to natural language processing, computational linguistics, and speech recognition
Dan Jurafsky and James H. Martin. 2009 · 2009
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A survey of affect recognition methods: Audio, visual, and spontaneous expressions
Zhihong Zeng, Maja Pantic, Glenn I. Roisman, and Thomas S. Huang. 2009 · 2009
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The distress analysis interview corpus of human and computer interviews
Jonathan Gratch, Ron Artstein, Gale Lucas, Giota Stratou, Stefan Scherer, Angela Nazarian, Rachel Wood, Jill Boberg, David DeVault, Stacy Marsella, David Traum, Skip Rizzo, and Louis-Philippe Morency. 2014 · 2014
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Avec 2016: Depression, mood, and emotion recognition workshop and challenge
Michel Valstar, Jonathan Gratch, Björn Schuller, Fabien Ringeval, Denis Lalanne, Mercedes Torres Torres, Stefan Scherer, Giota Stratou, Roddy Cowie, and Maja Pantic. 2016 · 2016
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Detecting depression using vocal, facial and semantic communication cues
James R. Williamson, Elizabeth Godoy, Miriam Cha, Adrianne Schwarzentruber, Pooya Khorrami, Youngjune Gwon, Hsiang-Tsung Kung, Charlie Dagli, and Thomas F. Quatieri. 2016 · 2016
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Decision tree based depression classification from audio video and language information
Le Yang, Dongmei Jiang, Lang He, Ercheng Pei, Meshia Cédric Oveneke, and Hichem Sahli. 2016 · 2016
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MultiWOZ - a large-scale multi-domain Wizard-of-Oz dataset for task-oriented dialogue modelling
Paweł Budzianowski, Tsung-Hsien Wen, Bo-Hsiang Tseng, Iñigo Casanueva, Stefan Ultes, Osman Ramadan, and Milica Gašić. 2018 · 2018
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Language models are unsupervised multitask learners
Alec Radford, Jeff Wu, Rewon Child, David Luan, Dario Amodei, and Ilya Sutskever. 2019 · 2019
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What Is Depression?
American Psychiatric Association. 2020 · 2020
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Emotion recognition by fusing time synchronous and time asynchronous representations
Wen Wu, Chao Zhang, and Philip C. Woodland. 2020 · 2021
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EmoWOZ: A large-scale corpus and labelling scheme for emotion recognition in task-oriented dialogue systems
Shutong Feng, Nurul Lubis, Christian Geishauser, Hsien-chin Lin, Michael Heck, Carel van Niekerk, and Milica Gasic. 2022 · 2022
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LoRA: Low-rank adaptation of large language models
Edward J Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen-Zhu, Yuanzhi Li, Shean Wang, Lu Wang, and Weizhu Chen. 2022 · 2022
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Peft: State-of-the-art parameter-efficient fine-tuning methods
ChatGPT for zero-shot dialogue state tracking: A solution or an opportunity?
Michael Heck, Nurul Lubis, Benjamin Ruppik, Renato Vukovic, Shutong Feng, Christian Geishauser, Hsien-chin Lin, Carel van Niekerk, and Milica Gasic. 2023 · 2023
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Emotionally numb or empathetic? evaluating how llms feel using emotionbench
Jen-tse Huang, Man Lam, Eric Li, Shujie Ren, Wenxuan Wang, Wenxiang Jiao, Zhaopeng Tu, and Michael Lyu. 2023 · 2023
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Synthetic data generation with large language models for text classification: Potential and limitations
Zhuoyan Li, Hangxiao Zhu, Zhuoran Lu, and Ming Yin. 2023 · 2023
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OpenAI. 2023 · 2023
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Speech-based slot filling using large language models
Guangzhi Sun, Shutong Feng, Dongcheng Jiang, Chao Zhang, Milica Gašić, and Philip C. Woodland. 2023 · 2023
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Sourab Mangrulkar, Sylvain Gugger, Lysandre Debut, Younes Belkada, Sayak Paul, and Benjamin Bossan. 2022 · 2022
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Introducing ChatGPT
OpenAI. 2022 · 2022
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Training language models to follow instructions with human feedback
Long Ouyang, Jeff Wu, Xu Jiang, Diogo Almeida, Carroll L. Wainwright, Pamela Mishkin, Chong Zhang, Sandhini Agarwal, Katarina Slama, Alex Ray, John Schulman, Jacob Hilton, Fraser Kelton, Luke Miller, Maddie Simens, Amanda Askell, Peter Welinder, Paul Christiano, Jan Leike, and Ryan Lowe. 2022 · 2022
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Robust speech recognition via large-scale weak supervision
Alec Radford, Jong Wook Kim, Tao Xu, Greg Brockman, Christine McLeavey, and Ilya Sutskever. 2022 · 2022
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A step towards preserving speakers’ identity while detecting depression via speaker disentanglement
Vijay Ravi, Jinhan Wang, Jonathan Flint, and Abeer Alwan. 2022 · 2022
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Emergent abilities of large language models
Jason Wei, Yi Tay, Rishi Bommasani, Colin Raffel, Barret Zoph, Sebastian Borgeaud, Dani Yogatama, Maarten Bosma, Denny Zhou, Donald Metzler, Ed H. Chi, Tatsunori Hashimoto, Oriol Vinyals, Percy Liang, Jeff Dean, and William Fedus. 2022 · 2022
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Open llm leaderboard
Edward Beeching, Clémentine Fourrier, Nathan Habib, Sheon Han, Nathan Lambert, Nazneen Rajani, Omar Sanseviero, Lewis Tunstall, and Thomas Wolf. 2023 · 2023
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Stanford alpaca: An instruction-following llama model
Rohan Taori, Ishaan Gulrajani, Tianyi Zhang, Yann Dubois, Xuechen Li, Carlos Guestrin, Percy Liang, and Tatsunori B. Hashimoto. 2023 · 2023
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Emotional intelligence of large language models
Xuena Wang, Xueting Li, Zi Yin, Yue Wu, and Liu Jia. 2023 · 2023
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Self-supervised representations in speech-based depression detection
Wen Wu, Chao Zhang, and Philip C. Woodland. 2023 · 2023
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Sentiment analysis in the era of large language models: A reality check
Wenxuan Zhang, Yue Deng, Bing Liu, Sinno Jialin Pan, and Lidong Bing. 2023 · 2023
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Is chatgpt equipped with emotional dialogue capabilities?
Weixiang Zhao, Yanyan Zhao, Xin Lu, Shilong Wang, Yanpeng Tong, and Bing Qin. 2023 · 2023
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Llama 3 model card
AI@Meta. 2024 · 2024
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SALMONN: Towards generic hearing abilities for large language models
Changli Tang, Wenyi Yu, Guangzhi Sun, Xianzhao Chen, Tian Tan, Wei Li, Lu Lu, Zejun MA, and Chao Zhang. 2024 · 2024
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Lora land: 310 fine-tuned llms that rival gpt-4, a technical report
Justin Zhao, Timothy Wang, Wael Abid, Geoffrey Angus, Arnav Garg, Jeffery Kinnison, Alex Sherstinsky, Piero Molino, Travis Addair, and Devvret Rishi. 2024 · 2024
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