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Dialogue State Tracking (DST) is designed to monitor the evolving dialogue state in the conversations and plays a pivotal role in developing task-oriented dialogue systems.
Imagenet classification with deep convolutional neural networks
Alex Krizhevsky, Ilya Sutskever, and Geoffrey E. Hinton. 2012 · 2012
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The second dialog state tracking challenge
Matthew Henderson, Blaise Thomson, and Jason D. Williams. 2014 · 2014
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Adam: A method for stochastic optimization
Diederik P. Kingma and Jimmy Ba. 2015 · 2015
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Audio augmentation for speech recognition
Tom Ko, Vijayaditya Peddinti, Daniel Povey, and Sanjeev Khudanpur. 2015 · 2015
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Character-level convolutional networks for text classification
Xiang Zhang, Junbo Jake Zhao, and Yann LeCun. 2015 · 2015
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Sgdr: Stochastic gradient descent with warm restarts
Ilya Loshchilov and Frank Hutter. 2016 · 2016
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Neural belief tracker: Data-driven dialogue state tracking
Nikola Mrkšić, Diarmuid Ó Séaghdha, Tsung-Hsien Wen, Blaise Thomson, and Steve Young. 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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Towards universal dialogue state tracking
Liliang Ren, Kaige Xie, Lu Chen, and Kai Yu. 2018 · 2018
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Unified language model pre-training for natural language understanding and generation
Li Dong, Nan Yang, Wenhui Wang, Furu Wei, Xiaodong Liu, Yu Wang, Jianfeng Gao, Ming Zhou, and Hsiao-Wuen Hon. 2019 · 2019
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Dialog state tracking: A neural reading comprehension approach
Shuyang Gao, Abhishek Sethi, Sanchit Agarwal, Tagyoung Chung, and Dilek Hakkani-Tur. 2019 · 2019
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Implicit discourse relation identification for open-domain dialogues
Mingyu Derek Ma, Kevin Bowden, Jiaqi Wu, Wen Cui, and Marilyn Walker. 2019 · 2019
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Specaugment: A simple data augmentation method for automatic speech recognition
Daniel S. Park, William Chan, Yu Zhang, Chung-Cheng Chiu, Barret Zoph, Ekin D. Cubuk, and Quoc V. Le. 2019 · 2019
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A survey on image data augmentation for deep learning
Connor Shorten and Taghi M Khoshgoftaar. 2019 · 2019
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EDA: Easy data augmentation techniques for boosting performance on text classification tasks
Jason Wei and Kai Zou. 2019 · 2019
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Transferable multi-domain state generator for task-oriented dialogue systems
Chien-Sheng Wu, Andrea Madotto, Ehsan Hosseini-Asl, Caiming Xiong, Richard Socher, and Pascale Fung. 2019 · 2019
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Schema-guided multi-domain dialogue state tracking with graph attention neural networks
Lu Chen, Boer Lv, Chi Wang, Su Zhu, Bowen Tan, and Kai Yu. 2020 · 2020
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MultiWOZ 2.1: A consolidated multi-domain dialogue dataset with state corrections and state tracking baselines
Mihail Eric, Rahul Goel, Shachi Paul, Abhishek Sethi, Sanchit Agarwal, Shuyang Gao, Adarsh Kumar, Anuj Goyal, Peter Ku, and Dilek Hakkani-Tur. 2020 · 2020
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From machine reading comprehension to dialogue state tracking: Bridging the gap
Shuyang Gao, Sanchit Agarwal, Di Jin, Tagyoung Chung, and Dilek Hakkani-Tur. 2020 · 2020
Cited alongside, same era.
TripPy: A triple copy strategy for value independent neural dialog state tracking
Michael Heck, Carel van Niekerk, Nurul Lubis, Christian Geishauser, Hsien-Chin Lin, Marco Moresi, and Milica Gasic. 2020 · 2020
Cited alongside, same era.
MinTL: Minimalist transfer learning for task-oriented dialogue systems
Zhaojiang Lin, Andrea Madotto, Genta Indra Winata, and Pascale Fung. 2020 · 2020
Cited alongside, same era.
MultiWOZ 2.2 : A dialogue dataset with additional annotation corrections and state tracking baselines
Xiaoxue Zang, Abhinav Rastogi, Srinivas Sunkara, Raghav Gupta, Jianguo Zhang, and Jindong Chen. 2020 · 2020
Cited alongside, same era.
Find or classify? dual strategy for slot-value predictions on multi-domain dialog state tracking
Jianguo Zhang, Kazuma Hashimoto, Chien-Sheng Wu, Yao Wang, Philip Yu, Richard Socher, and Caiming Xiong. 2020 · 2020
Cited alongside, same era.
A slot-shared span prediction-based neural network for multi-domain dialogue state tracking
Abibulla Atawulla, Xi Zhou, Yating Yang, Bo Ma, and Fengyi Yang. 2023 · 2023
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Task-optimized adapters for an end-to-end task-oriented dialogue system
Namo Bang, Jeehyun Lee, and Myoung-Wan Koo. 2023 · 2023
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Span-selective linear attention transformers for effective and robust schema-guided dialogue state tracking
Björn Bebensee and Haejun Lee. 2023 · 2023
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Towards llm-driven dialogue state tracking
Yujie Feng, Zexin Lu, Bo Liu, Liming Zhan, and Xiao-Ming Wu. 2023 · 2023
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Are large language models all you need for task-oriented dialogue?
Vojtěch Hudeček and Ondřej Dušek. 2023 · 2023
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Is gpt-3 all you need for low-data discovery in chemistry?
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Multiwoz 2.3: A multi-domain task-oriented dialogue dataset enhanced with annotation corrections and co-reference annotation
Ting Han, Ximing Liu, Ryuichi Takanabu, Yixin Lian, Chongxuan Huang, Dazhen Wan, Wei Peng, and Minlie Huang. 2021 · 2021
Cited alongside, same era.
Dialogue state tracking with a language model using schema-driven prompting
Chia-Hsuan Lee, Hao Cheng, and Mari Ostendorf. 2021 · 2021
Cited alongside, same era.
Soloist: Building task bots at scale with transfer learning and machine teaching
Baolin Peng, Chunyuan Li, Jinchao Li, Shahin Shayandeh, Lars Liden, and Jianfeng Gao. 2021 · 2021
Cited alongside, same era.
Amendable generation for dialogue state tracking
Xin Tian, Liankai Huang, Yingzhan Lin, Siqi Bao, Huang He, Yunyi Yang, Hua Wu, Fan Wang, and Shuqi Sun. 2021 · 2021
Cited alongside, same era.
Slot self-attentive dialogue state tracking
Fanghua Ye, Jarana Manotumruksa, Qiang Zhang, Shenghui Li, and Emine Yilmaz. 2021 · 2021
Cited alongside, same era.
Unified dialog model pre-training for task-oriented dialog understanding and generation
Wanwei He, Yinpei Dai, Min Yang, Jian Sun, Fei Huang, Luo Si, and Yongbin Li. 2022 · 2022
Cited alongside, same era.
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
Cited alongside, same era.
Kevin Maik Jablonka, Philippe Schwaller, Andres Ortega-Guerrero, and Berend Smit. 2023 · 2023
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Diverse retrieval-augmented in-context learning for dialogue state tracking
Brendan King and Jeffrey Flanigan. 2023 · 2023
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Efficient memory management for large language model serving with pagedattention
Woosuk Kwon, Zhuohan Li, Siyuan Zhuang, Ying Sheng, Lianmin Zheng, Cody Hao Yu, Joseph Gonzalez, Hao Zhang, and Ion Stoica. 2023 · 2023
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Diable: Efficient dialogue state tracking as operations on tables
Pietro Lesci, Yoshinari Fujinuma, Momchil Hardalov, Chao Shang, Yassine Benajiba, and Lluis Marquez. 2023 · 2023
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Hugginggpt: Solving ai tasks with chatgpt and its friends in huggingface
Yongliang Shen, Kaitao Song, Xu Tan, Dongsheng Li, Weiming Lu, and Yueting Zhuang. 2023 · 2023
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auto-gpt: An experimental open-source attempt to make gpt-4 fully autonomous
Significant-gravitas. 2023 · 2023
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Choice fusion as knowledge for zero-shot dialogue state tracking
Ruolin Su, Jingfeng Yang, Ting-Wei Wu, and Biing-Hwang Juang. 2023 · 2023
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Divide, conquer, and combine: Mixture of semantic-independent experts for zero-shot dialogue state tracking
Qingyue Wang, Liang Ding, Yanan Cao, Yibing Zhan, Zheng Lin, Shi Wang, Dacheng Tao, and Li Guo. 2023 · 2023
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MoNET: Tackle state momentum via noise-enhanced training for dialogue state tracking
Haoning Zhang, Junwei Bao, Haipeng Sun, Youzheng Wu, Wenye Li, Shuguang Cui, and Xiaodong He. 2023 · 2023
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Pytorch fsdp: Experiences on scaling fully sharded data parallel
Yanli Zhao, Andrew Gu, Rohan Varma, Liang Luo, Chien-Chin Huang, Min Xu, Less Wright, Hamid Shojanazeri, Myle Ott, Sam Shleifer, Alban Desmaison, Can Balioglu, Pritam Damania, Bernard Nguyen, Geeta Chauhan, Yuchen Hao, Ajit Mathews, and Shen Li. 2023 · 2023
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XQA-DST: Multi-domain and multi-lingual dialogue state tracking
Han Zhou, Ignacio Iacobacci, and Pasquale Minervini. 2023 · 2023
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Synthetic data generation in low-resource settings via fine-tuning of large language models
Jean Kaddour and Qi Liu. 2024 · 2024
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Bootstrapping llm-based task-oriented dialogue agents via self-talk
Dennis Ulmer, Elman Mansimov, Kaixiang Lin, Justin Sun, Xibin Gao, and Yi Zhang. 2024 · 2024
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