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The Curious Case of Neural Text Degeneration
v1v2 (latest)

The Curious Case of Neural Text Degeneration

22 April 2019
Ari Holtzman
Jan Buys
Li Du
Maxwell Forbes
Yejin Choi
ArXiv (abs)PDFHTML

Papers citing "The Curious Case of Neural Text Degeneration"

50 / 2,400 papers shown
Local Knowledge Powered Conversational Agents
Local Knowledge Powered Conversational Agents
Sashank Santhanam
Ming-Yu Liu
Raul Puri
Mohammad Shoeybi
M. Patwary
Bryan Catanzaro
193
4
0
20 Oct 2020
Neural Language Modeling for Contextualized Temporal Graph Generation
Neural Language Modeling for Contextualized Temporal Graph GenerationNorth American Chapter of the Association for Computational Linguistics (NAACL), 2020
Aman Madaan
Yiming Yang
264
20
0
20 Oct 2020
Summary-Oriented Question Generation for Informational Queries
Summary-Oriented Question Generation for Informational QueriesWorkshop on Document-grounded Dialogue and Conversational Question Answering (DialDoc), 2020
Xusen Yin
Li Zhou
Kevin Small
Jonathan May
253
5
0
19 Oct 2020
Mixed-Lingual Pre-training for Cross-lingual Summarization
Mixed-Lingual Pre-training for Cross-lingual Summarization
Ruochen Xu
Chenguang Zhu
Yu Shi
Michael Zeng
Xuedong Huang
126
28
0
18 Oct 2020
Reflective Decoding: Beyond Unidirectional Generation with Off-the-Shelf
  Language Models
Reflective Decoding: Beyond Unidirectional Generation with Off-the-Shelf Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL), 2020
Peter West
Ximing Lu
Ari Holtzman
Chandra Bhagavatula
Jena D. Hwang
Yejin Choi
OffRL
279
14
0
16 Oct 2020
Understanding Neural Abstractive Summarization Models via Uncertainty
Understanding Neural Abstractive Summarization Models via Uncertainty
Jiacheng Xu
Shrey Desai
Greg Durrett
UQLM
194
53
0
15 Oct 2020
Diverse Keyphrase Generation with Neural Unlikelihood Training
Diverse Keyphrase Generation with Neural Unlikelihood Training
Hareesh Bahuleyan
Layla El Asri
130
17
0
15 Oct 2020
Decoding Methods for Neural Narrative Generation
Decoding Methods for Neural Narrative Generation
Alexandra DeLucia
Aaron Mueller
Xiang Lisa Li
João Sedoc
151
27
0
14 Oct 2020
Positioning yourself in the maze of Neural Text Generation: A
  Task-Agnostic Survey
Positioning yourself in the maze of Neural Text Generation: A Task-Agnostic Survey
Khyathi Chandu
A. Black
248
0
0
14 Oct 2020
With Little Power Comes Great Responsibility
With Little Power Comes Great Responsibility
Dallas Card
Peter Henderson
Urvashi Khandelwal
Robin Jia
Kyle Mahowald
Dan Jurafsky
488
137
0
13 Oct 2020
Pretrained Transformers for Text Ranking: BERT and Beyond
Pretrained Transformers for Text Ranking: BERT and Beyond
Jimmy J. Lin
Rodrigo Nogueira
Andrew Yates
VLM
796
697
0
13 Oct 2020
The workweek is the best time to start a family -- A Study of GPT-2
  Based Claim Generation
The workweek is the best time to start a family -- A Study of GPT-2 Based Claim Generation
Shai Gretz
Yonatan Bilu
Edo Cohen-Karlik
Noam Slonim
145
29
0
13 Oct 2020
Are Some Words Worth More than Others?
Are Some Words Worth More than Others?
Shiran Dudy
Steven Bedrick
223
16
0
12 Oct 2020
End-to-End Synthetic Data Generation for Domain Adaptation of Question
  Answering Systems
End-to-End Synthetic Data Generation for Domain Adaptation of Question Answering Systems
Siamak Shakeri
Cicero Nogueira dos Santos
He Zhu
Patrick Ng
Feng Nan
Zhiguo Wang
Ramesh Nallapati
Bing Xiang
OOD
239
116
0
12 Oct 2020
Reformulating Unsupervised Style Transfer as Paraphrase Generation
Reformulating Unsupervised Style Transfer as Paraphrase Generation
Kalpesh Krishna
John Wieting
Mohit Iyyer
244
265
0
12 Oct 2020
Plan ahead: Self-Supervised Text Planning for Paragraph Completion Task
Plan ahead: Self-Supervised Text Planning for Paragraph Completion TaskConference on Empirical Methods in Natural Language Processing (EMNLP), 2020
Luan Tuyen Chau
Eduard H. Hovy
LRM
167
24
0
11 Oct 2020
Cue-word Driven Neural Response Generation with a Shrinking Vocabulary
Cue-word Driven Neural Response Generation with a Shrinking Vocabulary
Qiansheng Wang
Yuxin Liu
Chengguo Lv
Zhen Wang
Guohong Fu
160
2
0
10 Oct 2020
AutoQA: From Databases To QA Semantic Parsers With Only Synthetic
  Training Data
AutoQA: From Databases To QA Semantic Parsers With Only Synthetic Training DataConference on Empirical Methods in Natural Language Processing (EMNLP), 2020
Silei Xu
Sina J. Semnani
Giovanni Campagna
M. Lam
202
54
0
09 Oct 2020
Langsmith: An Interactive Academic Text Revision System
Langsmith: An Interactive Academic Text Revision SystemConference on Empirical Methods in Natural Language Processing (EMNLP), 2020
Takumi Ito
Tatsuki Kuribayashi
Masatoshi Hidaka
Jun Suzuki
Kentaro Inui
120
24
0
09 Oct 2020
Toward Stance-based Personas for Opinionated Dialogues
Toward Stance-based Personas for Opinionated Dialogues
Thomas Scialom
Serra Sinem Tekiroğlu
Jacopo Staiano
Marco Guerini
163
9
0
07 Oct 2020
Narrative Text Generation with a Latent Discrete Plan
Narrative Text Generation with a Latent Discrete Plan
Harsh Jhamtani
Taylor Berg-Kirkpatrick
161
17
0
07 Oct 2020
Like hiking? You probably enjoy nature: Persona-grounded Dialog with
  Commonsense Expansions
Like hiking? You probably enjoy nature: Persona-grounded Dialog with Commonsense Expansions
Bodhisattwa Prasad Majumder
Harsh Jhamtani
Taylor Berg-Kirkpatrick
Julian McAuley
170
90
0
07 Oct 2020
Beyond [CLS] through Ranking by Generation
Beyond [CLS] through Ranking by Generation
Cicero Nogueira dos Santos
Xiaofei Ma
Ramesh Nallapati
Zhiheng Huang
Bing Xiang
RALM
165
32
0
06 Oct 2020
RoFT: A Tool for Evaluating Human Detection of Machine-Generated Text
RoFT: A Tool for Evaluating Human Detection of Machine-Generated Text
Liam Dugan
Daphne Ippolito
Arun Kirubarajan
Chris Callison-Burch
DeLMO
121
68
0
06 Oct 2020
If beam search is the answer, what was the question?
If beam search is the answer, what was the question?Conference on Empirical Methods in Natural Language Processing (EMNLP), 2020
Clara Meister
Tim Vieira
Robert Bamler
369
154
0
06 Oct 2020
PAIR: Planning and Iterative Refinement in Pre-trained Transformers for
  Long Text Generation
PAIR: Planning and Iterative Refinement in Pre-trained Transformers for Long Text GenerationConference on Empirical Methods in Natural Language Processing (EMNLP), 2020
Xinyu Hua
Lu Wang
265
60
0
05 Oct 2020
GenAug: Data Augmentation for Finetuning Text Generators
GenAug: Data Augmentation for Finetuning Text GeneratorsWorkshop on Knowledge Extraction and Integration for Deep Learning Architectures; Deep Learning Inside Out (DEELIO), 2020
Steven Y. Feng
Varun Gangal
Luan Tuyen Chau
Teruko Mitamura
Eduard H. Hovy
242
76
0
05 Oct 2020
STORIUM: A Dataset and Evaluation Platform for Machine-in-the-Loop Story
  Generation
STORIUM: A Dataset and Evaluation Platform for Machine-in-the-Loop Story GenerationConference on Empirical Methods in Natural Language Processing (EMNLP), 2020
Nader Akoury
Shufan Wang
Josh Whiting
Stephen Hood
Nanyun Peng
Mohit Iyyer
VGen
166
90
0
04 Oct 2020
DLGNet-Task: An End-to-end Neural Network Framework for Modeling
  Multi-turn Multi-domain Task-Oriented Dialogue
DLGNet-Task: An End-to-end Neural Network Framework for Modeling Multi-turn Multi-domain Task-Oriented Dialogue
O. Olabiyi
P. Bhattarai
C. Bayan Bruss
Zachary Kulis
279
4
0
04 Oct 2020
Generating Dialogue Responses from a Semantic Latent Space
Generating Dialogue Responses from a Semantic Latent SpaceConference on Empirical Methods in Natural Language Processing (EMNLP), 2020
Wei-Jen Ko
Avik Ray
Yilin Shen
Hongxia Jin
VLM
189
6
0
04 Oct 2020
INSPIRED: Toward Sociable Recommendation Dialog Systems
INSPIRED: Toward Sociable Recommendation Dialog Systems
Shirley Anugrah Hayati
Luan Tuyen Chau
Qingxiaoyang Zhu
Weiyan Shi
Zhou Yu
277
178
0
29 Sep 2020
Visually-Grounded Planning without Vision: Language Models Infer
  Detailed Plans from High-level Instructions
Visually-Grounded Planning without Vision: Language Models Infer Detailed Plans from High-level Instructions
Peter Alexander Jansen
LM&Ro
145
58
0
29 Sep 2020
Identifying Automatically Generated Headlines using Transformers
Identifying Automatically Generated Headlines using Transformers
Antonis Maronikolakis
Hinrich Schütze
Mark Stevenson
286
4
0
28 Sep 2020
Learning to Plan and Realize Separately for Open-Ended Dialogue Systems
Learning to Plan and Realize Separately for Open-Ended Dialogue SystemsFindings (Findings), 2020
Sashank Santhanam
Zhuo Cheng
Brodie Mather
Bonnie J. Dorr
Archna Bhatia
Bryanna Hebenstreit
Alan Zemel
Adam Dalton
T. Strzalkowski
Samira Shaikh
150
7
0
26 Sep 2020
Weird AI Yankovic: Generating Parody Lyrics
Weird AI Yankovic: Generating Parody Lyrics
Mark O. Riedl
55
3
0
25 Sep 2020
Controllable Text Generation with Focused Variation
Controllable Text Generation with Focused VariationFindings (Findings), 2020
Lei Shu
Alexandros Papangelis
Yi-Chia Wang
Gokhan Tur
Hu Xu
Zhaleh Feizollahi
Bing-Quan Liu
Piero Molino
178
12
0
25 Sep 2020
Deep Learning for Predictive Business Process Monitoring: Review and
  Benchmark
Deep Learning for Predictive Business Process Monitoring: Review and BenchmarkIEEE Transactions on Services Computing (TSC), 2020
Efrén Rama-Maneiro
J. Vidal
Manuel Lama
215
117
0
24 Sep 2020
RealToxicityPrompts: Evaluating Neural Toxic Degeneration in Language
  Models
RealToxicityPrompts: Evaluating Neural Toxic Degeneration in Language ModelsFindings (Findings), 2020
Samuel Gehman
Suchin Gururangan
Maarten Sap
Yejin Choi
Noah A. Smith
815
1,474
0
24 Sep 2020
UCD-CS at W-NUT 2020 Shared Task-3: A Text to Text Approach for COVID-19
  Event Extraction on Social Media
UCD-CS at W-NUT 2020 Shared Task-3: A Text to Text Approach for COVID-19 Event Extraction on Social Media
Congcong Wang
David Lillis
122
4
0
21 Sep 2020
F^2-Softmax: Diversifying Neural Text Generation via Frequency
  Factorized Softmax
F^2-Softmax: Diversifying Neural Text Generation via Frequency Factorized SoftmaxConference on Empirical Methods in Natural Language Processing (EMNLP), 2020
Byung-Ju Choi
Jimin Hong
D. Park
Sang Wan Lee
215
14
0
20 Sep 2020
Text Generation by Learning from Demonstrations
Text Generation by Learning from Demonstrations
Richard Yuanzhe Pang
He He
OffRL
243
87
0
16 Sep 2020
UNION: An Unreferenced Metric for Evaluating Open-ended Story Generation
UNION: An Unreferenced Metric for Evaluating Open-ended Story GenerationConference on Empirical Methods in Natural Language Processing (EMNLP), 2020
Jian Guan
Shiyu Huang
135
76
0
16 Sep 2020
A Systematic Characterization of Sampling Algorithms for Open-ended
  Language Generation
A Systematic Characterization of Sampling Algorithms for Open-ended Language Generation
Moin Nadeem
Tianxing He
Dong Wang
James R. Glass
124
35
0
15 Sep 2020
Critical Thinking for Language Models
Critical Thinking for Language ModelsInternational Conference on Computational Semantics (IWCS), 2020
Gregor Betz
Christian Voigt
Kyle Richardson
SyDaReLMLRMAI4CE
278
42
0
15 Sep 2020
Multi-Referenced Training for Dialogue Response Generation
Multi-Referenced Training for Dialogue Response GenerationSIGDIAL Conferences (SIGDIAL), 2020
Tianyu Zhao
Tatsuya Kawahara
SyDa
223
9
0
15 Sep 2020
Global-aware Beam Search for Neural Abstractive Summarization
Global-aware Beam Search for Neural Abstractive SummarizationNeural Information Processing Systems (NeurIPS), 2020
Ye Ma
Zixun Lan
Lu Zong
Kaizhu Huang
246
13
0
15 Sep 2020
GeDi: Generative Discriminator Guided Sequence Generation
GeDi: Generative Discriminator Guided Sequence GenerationConference on Empirical Methods in Natural Language Processing (EMNLP), 2020
Ben Krause
Akhilesh Deepak Gotmare
Bryan McCann
N. Keskar
Shafiq Joty
R. Socher
Nazneen Rajani
411
455
0
14 Sep 2020
Simple is Better! Lightweight Data Augmentation for Low Resource Slot
  Filling and Intent Classification
Simple is Better! Lightweight Data Augmentation for Low Resource Slot Filling and Intent ClassificationPacific Asia Conference on Language, Information and Computation (PACLIC), 2020
Samuel Louvan
Bernardo Magnini
148
30
0
08 Sep 2020
Adversarial Watermarking Transformer: Towards Tracing Text Provenance
  with Data Hiding
Adversarial Watermarking Transformer: Towards Tracing Text Provenance with Data HidingIEEE Symposium on Security and Privacy (IEEE S&P), 2020
Sahar Abdelnabi
Mario Fritz
WaLM
318
188
0
07 Sep 2020
Learning to summarize from human feedback
Learning to summarize from human feedbackNeural Information Processing Systems (NeurIPS), 2020
Nisan Stiennon
Long Ouyang
Jeff Wu
Daniel M. Ziegler
Ryan J. Lowe
Chelsea Voss
Alec Radford
Dario Amodei
Paul Christiano
ALM
864
2,739
0
02 Sep 2020
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