Fetching the paper…
Reading the bibliography…
Neural text generation is a key tool in natural language applications, but it is well known there are major problems at its core.
The second conversational intelligence challenge (convai2)
Emily Dinan, Varvara Logacheva, Valentin Malykh, Alexander Miller, Kurt Shuster, Jack Urbanek, Douwe Kiela, Arthur Szlam, Iulian Serban, Ryan Lowe, et al. 2019 · 1902
Earlier work this paper cites.
Negative training for neural dialogue response generation
Tianxing He and James Glass. 2019 · 1903
Earlier work this paper cites.
The curious case of neural text degeneration
Ari Holtzman, Jan Buys, Maxwell Forbes, and Yejin Choi. 2019 · 1904
Earlier work this paper cites.
Acute-eval: Improved dialogue evaluation with optimized questions and multi-turn comparisons
Margaret Li, Jason Weston, and Stephen Roller. 2019 · 1909
Earlier work this paper cites.
Discriminative training methods for hidden Markov models: Theory and experiments with perceptron algorithms
Michael Collins. 2002 · 2002
Earlier work this paper cites.
A tutorial on energy-based learning
Yann LeCun, Sumit Chopra, Raia Hadsell, M Ranzato, and F Huang. 2006 · 2006
Earlier work this paper cites.
Search-based structured prediction
Hal Daumé, John Langford, and Daniel Marcu. 2009 · 2009
Earlier work this paper cites.
A reduction of imitation learning and structured prediction to no-regret online learning
Stéphane Ross, Geoffrey Gordon, and Drew Bagnell. 2011 · 2011
Earlier work this paper cites.
Sequence level training with recurrent neural networks
Marc’Aurelio Ranzato, Sumit Chopra, Michael Auli, and Wojciech Zaremba. 2015 · 2015
Earlier work this paper cites.
Minimum risk training for neural machine translation
Shiqi Shen, Yong Cheng, Zhongjun He, Wei He, Hua Wu, Maosong Sun, and Yang Liu. 2015 · 2015
Earlier work this paper cites.
A simple, fast diverse decoding algorithm for neural generation
Jiwei Li, Will Monroe, and Dan Jurafsky. 2016 · 2016
Cited alongside, same era.
Pointer sentinel mixture models
Stephen Merity, Caiming Xiong, James Bradbury, and Richard Socher. 2016 · 2016
Cited alongside, same era.
Seqgan: Sequence generative adversarial nets with policy gradient
Lantao Yu, Weinan Zhang, Jun Wang, and Yingrui Yu. 2016 · 2016
Cited alongside, same era.
Classical structured prediction losses for sequence to sequence learning
Sergey Edunov, Myle Ott, Michael Auli, David Grangier, and Marc’Aurelio Ranzato. 2017 · 2017
Cited alongside, same era.
Learning to write with cooperative discriminators
Ari Holtzman, Jan Buys, Maxwell Forbes, Antoine Bosselut, David Golub, and Yejin Choi. 2018 · 2018
Later among the works it cites.
Importance of a search strategy in neural dialogue modelling
Ilya Kulikov, Alexander H Miller, Kyunghyun Cho, and Jason Weston. 2018 · 2018
Later among the works it cites.
Deconstructing bert: Distilling 6 patterns from 100 million parameters
Jesse Vig. 2018 · 2018
Later among the works it cites.
Diverse beam search for improved description of complex scenes
Ashwin K Vijayakumar, Michael Cogswell, Ramprasaath R Selvaraju, Qing Sun, Stefan Lee, David Crandall, and Dhruv Batra. 2018 · 2018
Later among the works it cites.
Retrieve and refine: Improved sequence generation models for dialogue
Jason Weston, Emily Dinan, and Alexander H Miller. 2018 · 2018
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Guillaume Klein, Yoon Kim, Yuntian Deng, Jean Senellart, and Alexander M Rush. 2017 · 2017
Cited alongside, same era.
A deep reinforced model for abstractive summarization
Romain Paulus, Caiming Xiong, and Richard Socher. 2017 · 2017
Cited alongside, same era.
Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin. 2017 · 2017
Cited alongside, same era.
The missing representation in neural (language) models
Yejin Choi. 2018 · 2018
Cited alongside, same era.
Learning with reflective likelihoods
Adji B Dieng, Kyunghyun Cho, David M Blei, and Yann LeCun. 2018 · 2018
Cited alongside, same era.
Hierarchical neural story generation
Angela Fan, Mike Lewis, and Yann Dauphin. 2018 · 2018
Cited alongside, same era.
Personalizing dialogue agents: I have a dog, do you have pets too?
Saizheng Zhang, Emily Dinan, Jack Urbanek, Arthur Szlam, Douwe Kiela, and Jason Weston. 2018 · 2018
Later among the works it cites.
Adaptive input representations for neural language modeling
Alexei Baevski and Michael Auli. 2019 · 2019
Closest in time.
fairseq: A fast, extensible toolkit for sequence modeling
Myle Ott, Sergey Edunov, Alexei Baevski, Angela Fan, Sam Gross, Nathan Ng, David Grangier, and Michael Auli. 2019 · 2019
Closest in time.
Language models are unsupervised multitask learners
Alec Radford, Jeffrey Wu, Rewon Child, David Luan, Dario Amodei, and Ilya Sutskever. 2019 · 2019
Closest in time.
What makes a good conversation? how controllable attributes affect human judgments
Abigail See, Stephen Roller, Douwe Kiela, and Jason Weston. 2019 · 2019
Closest in time.