Fetching the paper…
Reading the bibliography…
We demonstrate that large language models are able to simulate Task Oriented Dialogues in novel domains, provided only with an API implementation and a list of goals.
The curious case of neural text degeneration
Ari Holtzman, Jan Buys, Maxwell Forbes, and Yejin Choi. 2020 · 1904
Earlier work this paper cites.
Neural text generation with unlikelihood training
Sean Welleck, Ilia Kulikov, Stephen Roller, Emily Dinan, Kyunghyun Cho, and Jason Weston. 2019 · 1908
Earlier work this paper cites.
Towards scalable multi-domain conversational agents: The schema-guided dialogue dataset
Abhinav Rastogi, Xiaoxue Zang, Srinivas Sunkara, Raghav Gupta, and Pranav Khaitan. 2019 · 1909
Earlier work this paper cites.
Long short-term memory
Sepp Hochreiter and Jürgen Schmidhuber. 1997 · 1997
Earlier work this paper cites.
PARADISE: A framework for evaluating spoken dialogue agents
Marilyn A. Walker, Diane J. Litman, Candace A. Kamm, and Alicia Abella. 1997 · 1997
Earlier work this paper cites.
How to build user simulators to train RL-based dialog systems
Weiyan Shi, Kun Qian, Xuewei Wang, and Zhou Yu. 2019 · 2000
Earlier work this paper cites.
Towards developing general models of usability with paradise
Marilyn Walker, Ace Kamm, and Diane Litman. 2000 · 2000
Earlier work this paper cites.
Active learning for spoken language understanding
Gokhan Tur, Robert E Schapire, and Dilek Hakkani-Tur. 2003 · 2003
Earlier work this paper cites.
Language models are few-shot learners
Tom B Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, et al. 2020 · 2005
Earlier work this paper cites.
A simple language model for task-oriented dialogue
Ehsan Hosseini-Asl, Bryan McCann, Chien-Sheng Wu, Semih Yavuz, and Richard Socher. 2020 · 2005
Earlier work this paper cites.
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
Earlier work this paper cites.
Quantitative evaluation of user simulation techniques for spoken dialogue systems
Jost Schatzmann, Kallirroi Georgila, and Steve Young. 2005 · 2005
Earlier work this paper cites.
User simulation for spoken dialogue systems: learning and evaluation
Kallirroi Georgila, James Henderson, and Oliver Lemon. 2006 · 2006
Earlier work this paper cites.
Agenda-based user simulation for bootstrapping a POMDP dialogue system
Jost Schatzmann, Blaise Thomson, Karl Weilhammer, Hui Ye, and Steve Young. 2007 · 2007
Earlier work this paper cites.
User simulation as testing for spoken dialog systems
Hua Ai and Fuliang Weng. 2008 · 2008
Earlier work this paper cites.
Data-driven user simulation for automated evaluation of spoken dialog systems
Sangkeun Jung, Cheongjae Lee, Kyungduk Kim, Minwoo Jeong, and Gary Geunbae Lee. 2009 · 2009
Earlier work this paper cites.
Speech and language processing : an introduction to natural language processing, computational linguistics, and speech recognition
Dan Jurafsky and James H. Martin. 2009 · 2009
Earlier work this paper cites.
A literature survey of active machine learning in the context of natural language processing
Fredrik Olsson. 2009 · 2009
Earlier work this paper cites.
It’s not just size that matters: Small language models are also few-shot learners
Timo Schick and Hinrich Schütze. 2020 · 2009
Cited alongside, same era.
Neural machine translation by jointly learning to align and translate
Dzmitry Bahdanau, Kyunghyun Cho, and Yoshua Bengio. 2014 · 2014
Cited alongside, same era.
A sequence-to-sequence model for user simulation in spoken dialogue systems
Layla El Asri, Jing He, and Kaheer Suleman. 2016 · 2016
Cited alongside, same era.
Learning end-to-end goal-oriented dialog
Antoine Bordes, Y-Lan Boureau, and Jason Weston. 2016 · 2016
Cited alongside, same era.
Taskmaster-1: Toward a realistic and diverse dialog dataset
Bill Byrne, Karthik Krishnamoorthi, Chinnadhurai Sankar, Arvind Neelakantan, Ben Goodrich, Daniel Duckworth, Semih Yavuz, Amit Dubey, Kyu-Young Kim, and Andy Cedilnik. 2019 · 2019
Later among the works it cites.
BERT: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019 · 2019
Later among the works it cites.
Multi-domain task-completion dialog challenge
S Lee, H Schulz, A Atkinson, J Gao, K Suleman, L El Asri, M Adada, M Huang, S Sharma, W Tay, et al. 2019 · 2019
Later among the works it cites.
ACUTE-EVAL: Improved dialogue evaluation with optimized questions and multi-turn comparisons
Margaret Li, Jason Weston, and Stephen Roller. 2019 · 2019
Later among the works it cites.
Multi-domain goal-oriented dialogues (MultiDoGO): Strategies toward curating and annotating large scale dialogue data
Denis Peskov, Nancy Clarke, Jason Krone, Brigi Fodor, Yi Zhang, Adel Youssef, and Mona Diab. 2019 · 2019
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Xiujun Li, Zachary C Lipton, Bhuwan Dhingra, Lihong Li, Jianfeng Gao, and Yun-Nung Chen. 2016 · 2016
Cited alongside, same era.
Diverse beam search: Decoding diverse solutions from neural sequence models
Ashwin K Vijayakumar, Michael Cogswell, Ramprasath R Selvaraju, Qing Sun, Stefan Lee, David Crandall, and Dhruv Batra. 2016 · 2016
Cited alongside, same era.
Sequence to sequence modeling for user simulation in dialog systems
Paul A Crook and Alex Marin. 2017 · 2017
Cited alongside, same era.
Learning robust dialog policies in noisy environments
Maryam Fazel-Zarandi, Shang-Wen Li, Jin Cao, Jared Casale, Peter Henderson, David Whitney, and Alborz Geramifard. 2017 · 2017
Cited alongside, same era.
Parlai: A dialog research software platform
Alexander H Miller, Will Feng, Adam Fisch, Jiasen Lu, Dhruv Batra, Antoine Bordes, Devi Parikh, and Jason Weston. 2017 · 2017
Cited alongside, same era.
Composite task-completion dialogue policy learning via hierarchical deep reinforcement learning
Baolin Peng, Xiujun Li, Lihong Li, Jianfeng Gao, Asli Celikyilmaz, Sungjin Lee, and Kam-Fai Wong. 2017 · 2017
Cited alongside, same era.
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
Cited alongside, same era.
User modeling for task oriented dialogues
Izzeddin Gür, Dilek Hakkani-Tür, Gokhan Tür, and Pararth Shah. 2018 · 2018
Cited alongside, same era.
Language models are unsupervised multitask learners
Alec Radford, Jeffrey Wu, Rewon Child, David Luan, Dario Amodei, Ilya Sutskever, et al. 2019 · 2019
Later among the works it cites.
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
Later among the works it cites.
BART: Denoising sequence-to-sequence pre-training for natural language generation, translation, and comprehension
Mike Lewis, Yinhan Liu, Naman Goyal, Marjan Ghazvininejad, Abdelrahman Mohamed, Omer Levy, Veselin Stoyanov, and Luke Zettlemoyer. 2020 · 2020
Later among the works it cites.
MinTL: Minimalist transfer learning for task-oriented dialogue systems
Zhaojiang Lin, Andrea Madotto, Genta Indra Winata, and Pascale Fung. 2020 · 2020
Later among the works it cites.
TOD-BERT: Pre-trained natural language understanding for task-oriented dialogue
Chien-Sheng Wu, Steven C.H. Hoi, Richard Socher, and Caiming Xiong. 2020 · 2020
Later among the works it cites.
Alexa conversations: An extensible data-driven approach for building task-oriented dialogue systems
Anish Acharya, Suranjit Adhikari, Sanchit Agarwal, Vincent Auvray, Nehal Belgamwar, Arijit Biswas, Shubhra Chandra, Tagyoung Chung, Maryam Fazel-Zarandi, Raefer Gabriel, Shuyang Gao, Rahul Goel, Dilek Hakkani-Tur, Jan Jezabek, Abhay Jha, Jiun-Yu Kao, Prakash Krishnan, Peter Ku, Anuj Goyal, Chien-Wei Lin, Qing Liu, Arindam Mandal, Angeliki Metallinou, Vishal Naik, Yi Pan, Shachi Paul, Vittorio Perera, Abhishek Sethi, Minmin Shen, Nikko Strom, and Eddie Wang. 2021 · 2021
Closest in time.
Better fine-tuning by reducing representational collapse
Armen Aghajanyan, Akshat Shrivastava, Anchit Gupta, Naman Goyal, Luke Zettlemoyer, and Sonal Gupta. 2021 · 2021
Closest in time.
Domain-aware dialogue state tracker for multi-domain dialogue systems
Vevake Balaraman and Bernardo Magnini. 2021 · 2021
Closest in time.
Taskmaster-2
Bill Byrne, Karthik Krishnamoorthi, Saravanan Ganesh, Amit Dubey, Kyu-Young Kim, and Andy Cedilnik. 2020 · 2021
Closest in time.
TicketTalk: Toward human-level performance with end-to-end, transaction-based dialog systems
Bill Byrne, Karthik Krishnamoorthi, Saravanan Ganesh, and Mihir Kale. 2021 · 2021
Closest in time.
Zero-shot dialogue state tracking via cross-task transfer
Zhaojiang Lin, Bing Liu, Andrea Madotto, Seungwhan Moon, Paul Crook, Zhenpeng Zhou, Zhiguang Wang, Zhou Yu, Eunjoon Cho, Rajen Subba, et al. 2021 · 2021
Closest in time.
Towards zero-label language learning
Zirui Wang, Adams Wei Yu, Orhan Firat, and Yuan Cao. 2021 · 2021
Closest in time.
Finetuned language models are zero-shot learners
Jason Wei, Maarten Bosma, Vincent Y Zhao, Kelvin Guu, Adams Wei Yu, Brian Lester, Nan Du, Andrew M Dai, and Quoc V Le. 2021 · 2021
Closest in time.