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Large language models (LLMs) and their variants have shown extraordinary efficacy across numerous downstream natural language processing (NLP) tasks, which has presented a new vision for the development of NLP.
Roberta: A robustly optimized bert pretraining approach
Yinhan Liu, Myle Ott, Naman Goyal, Jingfei Du, Mandar Joshi, Danqi Chen, Omer Levy, Mike Lewis, Luke Zettlemoyer, and Veselin Stoyanov. 2019 · 1907
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Dialoguegcn: A graph convolutional neural network for emotion recognition in conversation
Deepanway Ghosal, Navonil Majumder, Soujanya Poria, Niyati Chhaya, and Alexander Gelbukh. 2019 · 1908
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Multi-task learning with auxiliary speaker identification for conversational emotion recognition
Jingye Li, Meishan Zhang, Donghong Ji, and Yijiang Liu. 2020 · 2003
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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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Context-dependent sentiment analysis in user-generated videos
Soujanya Poria, Erik Cambria, Devamanyu Hazarika, Navonil Majumder, Amir Zadeh, and Louis-Philippe Morency. 2017 · 2017
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Emotion detection on tv show transcripts with sequence-based convolutional neural networks
Sayyed M Zahiri and Jinho D Choi. 2017 · 2017
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Icon: Interactive conversational memory network for multimodal emotion detection
Devamanyu Hazarika, Soujanya Poria, Rada Mihalcea, Erik Cambria, and Roger Zimmermann. 2018a · 2018
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Conversational memory network for emotion recognition in dyadic dialogue videos
Devamanyu Hazarika, Soujanya Poria, Amir Zadeh, Erik Cambria, Louis-Philippe Morency, and Roger Zimmermann. 2018b · 2018
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Meld: A multimodal multi-party dataset for emotion recognition in conversations
Soujanya Poria, Devamanyu Hazarika, Navonil Majumder, Gautam Naik, Erik Cambria, and Rada Mihalcea. 2018 · 2018
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Improving language understanding by generative pre-training
Alec Radford, Karthik Narasimhan, Tim Salimans, Ilya Sutskever, et al. 2018 · 2018
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BERT: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019 · 2019
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Dialoguernn: An attentive rnn for emotion detection in conversations
Navonil Majumder, Soujanya Poria, Devamanyu Hazarika, Rada Mihalcea, Alexander Gelbukh, and Erik Cambria. 2019 · 2019
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Quantum-inspired interactive networks for conversational sentiment analysis
Yazhou Zhang, Qiuchi Li, Dawei Song, Peng Zhang, and Panpan Wang. 2019 · 2019
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Relation-aware graph attention networks with relational position encodings for emotion recognition in conversations
Taichi Ishiwatari, Yuki Yasuda, Taro Miyazaki, and Jun Goto. 2020 · 2020
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Dialoguecrn: Contextual reasoning networks for emotion recognition in conversations
Dou Hu, Lingwei Wei, and Xiaoyong Huai. 2021 · 2021
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Coin: Conversational interactive networks for emotion recognition in conversation
Haidong Zhang and Yekun Chai. 2021 · 2021
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Cfn: a complex-valued fuzzy network for sarcasm detection in conversations
Yazhou Zhang, Yaochen Liu, Qiuchi Li, Prayag Tiwari, Benyou Wang, Yuhua Li, Hari Mohan Pandey, Peng Zhang, and Dawei Song. 2021 · 2021
Cited alongside, same era.
Shanglin Lei, Guanting Dong, Xiaoping Wang, Keheng Wang, and Sirui Wang. 2023 · 2023
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Goat: Fine-tuned llama outperforms gpt-4 on arithmetic tasks
Tiedong Liu and Bryan Kian Hsiang Low. 2023 · 2023
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A quantum probability driven framework for joint multi-modal sarcasm, sentiment and emotion analysis
Yaochen Liu, Yazhou Zhang, and Dawei Song. 2023 · 2023
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Moving from narrative to interactive multi-modal sentiment analysis: A survey
Junxia Ma, Lu Rong, Yazhou Zhang, and Prayag Tiwari. 2023 · 2023
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OpenAI. 2023 · 2023
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Topic-driven and knowledge-aware transformer for dialogue emotion detection
Lixing Zhu, Gabriele Pergola, Lin Gui, Deyu Zhou, and Yulan He. 2021 · 2021
Cited alongside, same era.
M2fnet: Multi-modal fusion network for emotion recognition in conversation
Vishal Chudasama, Purbayan Kar, Ashish Gudmalwar, Nirmesh Shah, Pankaj Wasnik, and Naoyuki Onoe. 2022 · 2022
Cited alongside, same era.
Multimodal learning using optimal transport for sarcasm and humor detection
Shraman Pramanick, Aniket Roy, and Vishal M Patel. 2022 · 2022
Cited alongside, same era.
Cauain: Causal aware interaction network for emotion recognition in conversations
Weixiang Zhao, Yanyan Zhao, and Xin Lu. 2022 · 2022
Cited alongside, same era.
Phoenix: Democratizing chatgpt across languages
Zhihong Chen, Feng Jiang, Junying Chen, Tiannan Wang, Fei Yu, Guiming Chen, Hongbo Zhang, Juhao Liang, Chen Zhang, Zhiyi Zhang, et al. 2023 · 2023
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Dr. llama: Improving small language models in domain-specific qa via generative data augmentation
Zhen Guo, Peiqi Wang, Yanwei Wang, and Shangdi Yu. 2023 · 2023
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Supervised adversarial contrastive learning for emotion recognition in conversations
Dou Hu, Yinan Bao, Lingwei Wei, Wei Zhou, and Songlin Hu. 2023 · 2023
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Guilherme Penedo, Quentin Malartic, Daniel Hesslow, Ruxandra Cojocaru, Alessandro Cappelli, Hamza Alobeidli, Baptiste Pannier, Ebtesam Almazrouei, and Julien Launay. 2023 · 2023
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Baolin Peng, Chunyuan Li, Pengcheng He, Michel Galley, and Jianfeng Gao. 2023 · 2023
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Mutual-enhanced incongruity learning network for multi-modal sarcasm detection
Yang Qiao, Liqiang Jing, Xuemeng Song, Xiaolin Chen, Lei Zhu, and Liqiang Nie. 2023 · 2023
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Xiaozhe Ren, Pingyi Zhou, Xinfan Meng, Xinjing Huang, Yadao Wang, Weichao Wang, Pengfei Li, Xiaoda Zhang, Alexander Podolskiy, Grigory Arshinov, et al. 2023 · 2023
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Pmc-llama: Further finetuning llama on medical papers
Chaoyi Wu, Xiaoman Zhang, Ya Zhang, Yanfeng Wang, and Weidi Xie. 2023 · 2023
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A survey of large language models
Wayne Xin Zhao, Kun Zhou, Junyi Li, Tianyi Tang, Xiaolei Wang, Yupeng Hou, Yingqian Min, Beichen Zhang, Junjie Zhang, Zican Dong, et al. 2023 · 2023
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