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Taming Repetition in Dialogue Generation

Taming Repetition in Dialogue Generation

16 December 2021
Yadong Xi
Jiashu Pu
Xiaoxi Mao
ArXivPDFHTML

Papers citing "Taming Repetition in Dialogue Generation"

29 / 29 papers shown
Title
Beyond Goldfish Memory: Long-Term Open-Domain Conversation
Beyond Goldfish Memory: Long-Term Open-Domain Conversation
Jing Xu
Arthur Szlam
Jason Weston
RALM
58
251
0
15 Jul 2021
Diversifying Dialog Generation via Adaptive Label Smoothing
Diversifying Dialog Generation via Adaptive Label Smoothing
Yida Wang
Yinhe Zheng
Yong Jiang
Minlie Huang
66
37
0
30 May 2021
Language Models are Few-Shot Learners
Language Models are Few-Shot Learners
Tom B. Brown
Benjamin Mann
Nick Ryder
Melanie Subbiah
Jared Kaplan
...
Christopher Berner
Sam McCandlish
Alec Radford
Ilya Sutskever
Dario Amodei
BDL
789
42,055
0
28 May 2020
Towards a Human-like Open-Domain Chatbot
Towards a Human-like Open-Domain Chatbot
Daniel De Freitas
Minh-Thang Luong
David R. So
Jamie Hall
Noah Fiedel
...
Zi Yang
Apoorv Kulshreshtha
Gaurav Nemade
Yifeng Lu
Quoc V. Le
114
938
0
27 Jan 2020
DialoGPT: Large-Scale Generative Pre-training for Conversational
  Response Generation
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
W. Dolan
VLM
173
1,524
0
01 Nov 2019
Do Massively Pretrained Language Models Make Better Storytellers?
Do Massively Pretrained Language Models Make Better Storytellers?
A. See
Aneesh S. Pappu
Rohun Saxena
Akhila Yerukola
Christopher D. Manning
95
168
0
24 Sep 2019
CTRL: A Conditional Transformer Language Model for Controllable
  Generation
CTRL: A Conditional Transformer Language Model for Controllable Generation
N. Keskar
Bryan McCann
Lav Varshney
Caiming Xiong
R. Socher
AI4CE
123
1,239
0
11 Sep 2019
Neural Text Generation with Unlikelihood Training
Neural Text Generation with Unlikelihood Training
Sean Welleck
Ilia Kulikov
Stephen Roller
Emily Dinan
Kyunghyun Cho
Jason Weston
MU
48
578
0
12 Aug 2019
RoBERTa: A Robustly Optimized BERT Pretraining Approach
RoBERTa: A Robustly Optimized BERT Pretraining Approach
Yinhan Liu
Myle Ott
Naman Goyal
Jingfei Du
Mandar Joshi
Danqi Chen
Omer Levy
M. Lewis
Luke Zettlemoyer
Veselin Stoyanov
AIMat
659
24,464
0
26 Jul 2019
The Curious Case of Neural Text Degeneration
The Curious Case of Neural Text Degeneration
Ari Holtzman
Jan Buys
Li Du
Maxwell Forbes
Yejin Choi
184
3,184
0
22 Apr 2019
Unifying Human and Statistical Evaluation for Natural Language
  Generation
Unifying Human and Statistical Evaluation for Natural Language Generation
Tatsunori B. Hashimoto
Hugh Zhang
Percy Liang
69
224
0
04 Apr 2019
fairseq: A Fast, Extensible Toolkit for Sequence Modeling
fairseq: A Fast, Extensible Toolkit for Sequence Modeling
Myle Ott
Sergey Edunov
Alexei Baevski
Angela Fan
Sam Gross
Nathan Ng
David Grangier
Michael Auli
VLM
FaML
109
3,151
0
01 Apr 2019
What makes a good conversation? How controllable attributes affect human
  judgments
What makes a good conversation? How controllable attributes affect human judgments
A. See
Stephen Roller
Douwe Kiela
Jason Weston
97
288
0
22 Feb 2019
TransferTransfo: A Transfer Learning Approach for Neural Network Based
  Conversational Agents
TransferTransfo: A Transfer Learning Approach for Neural Network Based Conversational Agents
Thomas Wolf
Victor Sanh
Julien Chaumond
Clement Delangue
73
497
0
23 Jan 2019
BERT: Pre-training of Deep Bidirectional Transformers for Language
  Understanding
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Jacob Devlin
Ming-Wei Chang
Kenton Lee
Kristina Toutanova
VLM
SSL
SSeg
1.8K
94,891
0
11 Oct 2018
Bottom-Up Abstractive Summarization
Bottom-Up Abstractive Summarization
Sebastian Gehrmann
Yuntian Deng
Alexander M. Rush
CVBM
156
689
0
31 Aug 2018
A Survey on Multi-Task Learning
A Survey on Multi-Task Learning
Yu Zhang
Qiang Yang
AIMat
605
2,230
0
25 Jul 2017
Attention Is All You Need
Attention Is All You Need
Ashish Vaswani
Noam M. Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan Gomez
Lukasz Kaiser
Illia Polosukhin
3DV
701
131,652
0
12 Jun 2017
Get To The Point: Summarization with Pointer-Generator Networks
Get To The Point: Summarization with Pointer-Generator Networks
A. See
Peter J. Liu
Christopher D. Manning
3DPC
298
4,019
0
14 Apr 2017
OpenNMT: Open-Source Toolkit for Neural Machine Translation
OpenNMT: Open-Source Toolkit for Neural Machine Translation
Guillaume Klein
Yoon Kim
Yuntian Deng
Jean Senellart
Alexander M. Rush
330
1,900
0
10 Jan 2017
Cutting-off Redundant Repeating Generations for Neural Abstractive
  Summarization
Cutting-off Redundant Repeating Generations for Neural Abstractive Summarization
Jun Suzuki
Masaaki Nagata
72
77
0
31 Dec 2016
Deep Reinforcement Learning for Dialogue Generation
Deep Reinforcement Learning for Dialogue Generation
Jiwei Li
Will Monroe
Alan Ritter
Michel Galley
Jianfeng Gao
Dan Jurafsky
281
1,335
0
05 Jun 2016
Modeling Coverage for Neural Machine Translation
Modeling Coverage for Neural Machine Translation
Zhaopeng Tu
Zhengdong Lu
Yang Liu
Xiaohua Liu
Hang Li
92
748
0
19 Jan 2016
Sequence Level Training with Recurrent Neural Networks
Sequence Level Training with Recurrent Neural Networks
MarcÁurelio Ranzato
S. Chopra
Michael Auli
Wojciech Zaremba
102
1,615
0
20 Nov 2015
A Diversity-Promoting Objective Function for Neural Conversation Models
A Diversity-Promoting Objective Function for Neural Conversation Models
Jiwei Li
Michel Galley
Chris Brockett
Jianfeng Gao
W. Dolan
143
2,392
0
11 Oct 2015
A Neural Conversational Model
A Neural Conversational Model
Oriol Vinyals
Quoc V. Le
BDL
134
1,767
0
19 Jun 2015
Scheduled Sampling for Sequence Prediction with Recurrent Neural
  Networks
Scheduled Sampling for Sequence Prediction with Recurrent Neural Networks
Samy Bengio
Oriol Vinyals
Navdeep Jaitly
Noam M. Shazeer
145
2,034
0
09 Jun 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.8K
150,115
0
22 Dec 2014
On the difficulty of training Recurrent Neural Networks
On the difficulty of training Recurrent Neural Networks
Razvan Pascanu
Tomas Mikolov
Yoshua Bengio
ODL
190
5,346
0
21 Nov 2012
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