Fetching the paper…
Reading the bibliography…
Dialogue models are able to generate coherent and fluent responses, but they can still be challenging to control and may produce non-engaging, unsafe results.
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
Earlier work this paper cites.
Ctrl: A conditional transformer language model for controllable generation
Nitish Shirish Keskar, Bryan McCann, Lav R Varshney, Caiming Xiong, and Richard Socher. 2019 · 1909
Earlier work this paper cites.
A voice interactive multilingual student support system using ibm watson
Kennedy Ralston, Yuhao Chen, Haruna Isah, and Farhana Zulkernine. 2019 · 1929
Earlier work this paper cites.
RedditBias: A Real-World Resource for Bias Evaluation and Debiasing of Conversational Language Models
Soumya Barikeri, Anne Lauscher, Ivan Vulić, and Goran Glavaš. 2021 · 1955
Earlier work this paper cites.
An augmented template-based approach to text realization
Susan W McRoy, Songsak Channarukul, and Syed S Ali. 2003 · 2003
Earlier work this paper cites.
Anton Sinitsin, Vsevolod Plokhotnyuk, Dmitriy Pyrkin, Sergei Popov, and Artem Babenko. 2020 · 2004
Earlier work this paper cites.
Choosing words in computer-generated weather forecasts
Ehud Reiter, Somayajulu Sripada, Jim Hunter, Jin Yu, and Ian Davy. 2005 · 2005
Earlier work this paper cites.
Deberta: Decoding-enhanced bert with disentangled attention
Pengcheng He, Xiaodong Liu, Jianfeng Gao, and Weizhu Chen. 2020 · 2006
Earlier work this paper cites.
From rule-based to statistical grammars: Continuous improvement of large-scale spoken dialog systems
D. Suendermann, K. Evanini, J. Liscombe, P. Hunter, K. Dayanidhi, and R. Pieraccini. 2009 · 2009
Earlier work this paper cites.
Recipes for Safety in Open-domain Chatbots
Jing Xu, Da Ju, Margaret Li, Y.-Lan Boureau, Jason Weston, and Emily Dinan. 2021b · 2010
Earlier work this paper cites.
Lifelong knowledge learning in rule-based dialogue systems
Bing Liu and Chuhe Mei. 2020 · 2011
Earlier work this paper cites.
Analysis of watson’s strategies for playing jeopardy!
Gerry Tesauro, David C Gondek, Jonathan Lenchner, James Fan, and John M Prager. 2013 · 2013
Earlier work this paper cites.
Training end-to-end dialogue systems with the ubuntu dialogue corpus
Ryan Lowe, Nissan Pow, Iulian Vlad Serban, Laurent Charlin, Chia-Wei Liu, and Joelle Pineau. 2017 · 2017
Earlier work this paper cites.
BERT: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019 · 2019
Earlier work this paper cites.
Exploiting persona information for diverse generation of conversational responses
Haoyu Song, W. Zhang, Yiming Cui, Dong Wang, and T. Liu. 2019 · 2019
Earlier work this paper cites.
Target-guided open-domain conversation
Jianheng Tang, Tiancheng Zhao, Chenyan Xiong, Xiaodan Liang, Eric Xing, and Zhiting Hu. 2019 · 2019
Earlier work this paper cites.
Dialogue natural language inference
Sean Welleck, Jason Weston, Arthur Szlam, and Kyunghyun Cho. 2019 · 2019
Earlier work this paper cites.
Multi-hop selector network for multi-turn response selection in retrieval-based chatbots
Chunyuan Yuan, Wei Zhou, Mingming Li, Shangwen Lv, Fuqing Zhu, Jizhong Han, and Songlin Hu. 2019 · 2019
Earlier work this paper cites.
An affect-rich neural conversational model with biased attention and weighted cross-entropy loss
Peixiang Zhong, Di Wang, and Chunyan Miao. 2019 · 2019
Cited alongside, same era.
Plug and Play Language Models: A Simple Approach to Controlled Text Generation
Sumanth Dathathri, Andrea Madotto, Janice Lan, Jane Hung, Eric Frank, Piero Molino, Jason Yosinski, and Rosanne Liu. 2020 · 2020
Cited alongside, same era.
Queens are powerful too: Mitigating gender bias in dialogue generation
Emily Dinan, Angela Fan, Adina Williams, Jack Urbanek, Douwe Kiela, and Jason Weston. 2020 · 2020
Cited alongside, same era.
Dense passage retrieval for open-domain question answering
Vladimir Karpukhin, Barlas Oguz, Sewon Min, Patrick Lewis, Ledell Wu, Sergey Edunov, Danqi Chen, and Wen-tau Yih. 2020 · 2020
Cited alongside, same era.
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
Cited alongside, same era.
I like fish, especially dolphins: Addressing contradictions in dialogue modeling
Yixin Nie, Mary Williamson, Mohit Bansal, Douwe Kiela, and Jason Weston. 2021 · 2021
Later among the works it cites.
Recipes for building an open-domain chatbot
Stephen Roller, Emily Dinan, Naman Goyal, Da Ju, Mary Williamson, Yinhan Liu, Jing Xu, Myle Ott, Eric Michael Smith, Y-Lan Boureau, and Jason Weston. 2021 · 2021
Later among the works it cites.
Bot-Adversarial Dialogue for Safe Conversational Agents
Jing Xu, Da Ju, Margaret Li, Y-Lan Boureau, Jason Weston, and Emily Dinan. 2021a · 2021
Later among the works it cites.
Director: Generator-classifiers for supervised language modeling
Kushal Arora, Kurt Shuster, Sainbayar Sukhbaatar, and Jason Weston. 2022 · 2022
Closest in time.
Neural generation meets real people: Building a social, informative open-domain dialogue agent
Ethan A. Chi, Ashwin Paranjape, Abigail See, Caleb Chiam, Trenton Chang, Kathleen Kenealy, Swee Kiat Lim, Amelia Hardy, Chetanya Rastogi, Haojun Li, Alexander Iyabor, Yutong He, Hari Sowrirajan, Peng Qi, Kaushik Ram Sadagopan, Nguyet Minh Phu, Dilara Soylu, Jillian Tang, Avanika Narayan, Giovanni Campagna, and Christopher Manning. 2022 · 2022
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Exploring the limits of transfer learning with a unified text-to-text transformer
Colin Raffel, Noam Shazeer, Adam Roberts, Katherine Lee, Sharan Narang, Michael Matena, Yanqi Zhou, Wei Li, and Peter J. Liu. 2020 · 2020
Cited alongside, same era.
Improving dialog evaluation with a multi-reference adversarial dataset and large scale pretraining
Ananya B. Sai, Akash Kumar Mohankumar, Siddhartha Arora, and Mitesh M. Khapra. 2020 · 2020
Cited alongside, same era.
DIALOGPT : Large-scale generative pre-training for conversational response generation
Yizhe Zhang, Siqi Sun, Michel Galley, Yen-Chun Chen, Chris Brockett, Xiang Gao, Jianfeng Gao, Jingjing Liu, and Bill Dolan. 2020 · 2020
Cited alongside, same era.
Knowledge-grounded dialogue generation with pre-trained language models
Xueliang Zhao, Wei Wu, Can Xu, Chongyang Tao, Dongyan Zhao, and Rui Yan. 2020 · 2020
Cited alongside, same era.
Just Say No: Analyzing the Stance of Neural Dialogue Generation in Offensive Contexts
Ashutosh Baheti, Maarten Sap, Alan Ritter, and Mark Riedl. 2021 · 2021
Cited alongside, same era.
PLATO-2: Towards building an open-domain chatbot via curriculum learning
Siqi Bao, Huang He, Fan Wang, Hua Wu, Haifeng Wang, Wenquan Wu, Zhen Guo, Zhibin Liu, and Xinchao Xu. 2021 · 2021
Cited alongside, same era.
DiSCoL: Toward engaging dialogue systems through conversational line guided response generation
Sarik Ghazarian, Zixi Liu, Tuhin Chakrabarty, Xuezhe Ma, Aram Galstyan, and Nanyun Peng. 2021 · 2021
Cited alongside, same era.
Closest in time.
Scaling instruction-finetuned language models
Hyung Won Chung, Le Hou, Shayne Longpre, Barret Zoph, Yi Tay, William Fedus, Eric Li, Xuezhi Wang, Mostafa Dehghani, Siddhartha Brahma, et al. 2022 · 2022
Closest in time.
SafetyKit: First Aid for Measuring Safety in Open-domain Conversational Systems
Emily Dinan, Gavin Abercrombie, A. Bergman, Shannon Spruit, Dirk Hovy, Y-Lan Boureau, and Verena Rieser. 2022 · 2022
Closest in time.
Target-guided dialogue response generation using commonsense and data augmentation
Prakhar Gupta, Harsh Jhamtani, and Jeffrey Bigham. 2022a · 2022
Closest in time.
Knowledge-grounded dialogue generation with a unified knowledge representation
Yu Li, Baolin Peng, Yelong Shen, Yi Mao, Lars Liden, Zhou Yu, and Jianfeng Gao. 2022 · 2022
Closest in time.
Memory-assisted prompt editing to improve GPT-3 after deployment
Aman Madaan, Niket Tandon, Peter Clark, and Yiming Yang. 2022 · 2022
Closest in time.
Locating and editing factual associations in GPT
Kevin Meng, David Bau, Alex Andonian, and Yonatan Belinkov. 2022 · 2022
Closest in time.
Cins: Comprehensive instruction for few-shot learning in task-oriented dialog systems
Fei Mi, Yasheng Wang, and Yitong Li. 2022 · 2022
Closest in time.
Training language models with natural language feedback
Jérémy Scheurer, Jon Ander Campos, Jun Shern Chan, Angelica Chen, Kyunghyun Cho, and Ethan Perez. 2022 · 2022
Closest in time.
SaFeRDialogues: Taking feedback gracefully after conversational safety failures
Megan Ung, Jing Xu, and Y-Lan Boureau. 2022 · 2022
Closest in time.
A dynamic, interpreted CheckList for meaning-oriented NLG metric evaluation – through the lens of semantic similarity rating
Laura Zeidler, Juri Opitz, and Anette Frank. 2022 · 2022
Closest in time.
Opt: Open pre-trained transformer language models
Susan Zhang, Stephen Roller, Naman Goyal, Mikel Artetxe, Moya Chen, Shuohui Chen, Christopher Dewan, Mona Diab, Xian Li, Xi Victoria Lin, et al. 2022 · 2022
Closest in time.
Can you put it all together: Evaluating conversational agents’ ability to blend skills
Eric Michael Smith, Mary Williamson, Kurt Shuster, Jason Weston, and Y-Lan Boureau. 2020 · 2030
Closest in time.
Speaker-aware bert for multi-turn response selection in retrieval-based chatbots
Jia-Chen Gu, Tianda Li, Quan Liu, Zhen-Hua Ling, Zhiming Su, Si Wei, and Xiaodan Zhu. 2020 · 2044
Closest in time.