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SimpleMTOD is a simple language model which recasts several sub-tasks in multimodal task-oriented dialogues as sequence prediction tasks.
HuggingFace’s Transformers: State-of-the-art Natural Language Processing
Thomas Wolf, Lysandre Debut, Victor Sanh, Julien Chaumond, Clement Delangue, Anthony Moi, Pierric Cistac, Tim Rault, Rémi Louf, Morgan Funtowicz, and Jamie Brew. 2019 · 1910
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Large-scale Pretraining for Visual Dialog: A Simple State-of-the-Art Baseline
Vishvak Murahari, Dhruv Batra, Devi Parikh, and Abhishek Das. 2019 · 1912
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VD-BERT: A Unified Vision and Dialog Transformer with BERT
Yue Wang, Shafiq R. Joty, Michael R. Lyu, Irwin King, Caiming Xiong, and Steven C. H. Hoi. 2020 · 2004
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A Simple Language Model for Task-Oriented Dialogue
Ehsan Hosseini-Asl, Bryan McCann, Chien-Sheng Wu, Semih Yavuz, and Richard Socher. 2020 · 2005
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SOLOIST: Few-shot Task-Oriented Dialog with A Single Pre-trained Auto-regressive Model
Baolin Peng, Chunyuan Li, Jinchao Li, Shahin Shayandeh, Lars Liden, and Jianfeng Gao. 2020 · 2005
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Situated and interactive multimodal conversations
Seungwhan Moon, Satwik Kottur, Paul A Crook, Ankita De, Shivani Poddar, Theodore Levin, David Whitney, Daniel Difranco, Ahmad Beirami, Eunjoon Cho, Rajen Subba, and Alborz Geramifard. 2020 · 2006
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Adam: A Method for Stochastic Optimization
Diederik P. Kingma and Jimmy Ba. 2014 · 2015
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Abhishek Das, Satwik Kottur, Khushi Gupta, Avi Singh, Deshraj Yadav, José M. F. Moura, Devi Parikh, and Dhruv Batra. 2016 · 2016
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Neural Belief Tracker: Data-Driven Dialogue State Tracking
Nikola Mrksic, Diarmuid Ó Séaghdha, Tsung-Hsien Wen, Blaise Thomson, and Steve J. Young. 2017 · 2017
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Generative Encoder-Decoder Models for Task-Oriented Spoken Dialog Systems with Chatting Capability
Tiancheng Zhao, Allen Lu, Kyusong Lee, and Maxine Eskénazi. 2017 · 2017
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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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BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2018 · 2018
GQA: A New Dataset for Real-World Visual Reasoning and Compositional Question Answering
Drew A. Hudson and Christopher D. Manning. 2019 · 2019
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Multimodal Transformer Networks for End-to-End Video-Grounded Dialogue Systems
Hung Le, Doyen Sahoo, Nancy F. Chen, and Steven C. H. Hoi. 2019 · 2019
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A Diagnostic Study of Explainability Techniques for Text Classification
Pepa Atanasova, Jakob Grue Simonsen, Christina Lioma, and Isabelle Augenstein. 2020 · 2020
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End-to-End Neural Pipeline for Goal-Oriented Dialogue Systems using GPT-2
DongHoon Ham, Jeong-Gwan Lee, Youngsoo Jang, and Kee-Eung Kim. 2020 · 2020
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MOSS: End-to-End Dialog System Framework with Modular Supervision
Weixin Liang, Youzhi Tian, Chengcai Chen, and Zhou Yu. 2020 · 2020
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Improving language understanding by generative pre-training
Alec Radford, Karthik Narasimhan, Tim Salimans, and Ilya Sutskever. 2018 · 2018
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Grounded Response Generation Task at DSTC7
Michel Galley, Chris Brockett, Xiang Gao, Jianfeng Gao, and Bill Dolan. 2019 · 2019
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J Alammar. 2021 · 2021
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SIMMC 2.0: A Task-oriented Dialog Dataset for Immersive Multimodal Conversations
Satwik Kottur, Seungwhan Moon, Alborz Geramifard, and Babak Damavandi. 2021 · 2021
Later among the works it cites.