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How Decoding Strategies Affect the Verifiability of Generated Text
v1v2 (latest)

How Decoding Strategies Affect the Verifiability of Generated Text

Findings (Findings), 2019
9 November 2019
Luca Massarelli
Fabio Petroni
Aleksandra Piktus
Myle Ott
Tim Rocktaschel
Vassilis Plachouras
Fabrizio Silvestri
Sebastian Riedel
ArXiv (abs)PDFHTML

Papers citing "How Decoding Strategies Affect the Verifiability of Generated Text"

50 / 65 papers shown
Title
Beyond Hallucinations: The Illusion of Understanding in Large Language Models
Beyond Hallucinations: The Illusion of Understanding in Large Language Models
Rikard Rosenbacke
Carl Rosenbacke
Victor Rosenbacke
Martin McKee
64
0
0
16 Oct 2025
Knowledge Conflicts for LLMs: A Survey
Knowledge Conflicts for LLMs: A SurveyConference on Empirical Methods in Natural Language Processing (EMNLP), 2024
Rongwu Xu
Zehan Qi
Zhijiang Guo
Cunxiang Wang
Hongru Wang
Yue Zhang
Wei Xu
754
193
0
13 Mar 2024
Survey on Factuality in Large Language Models: Knowledge, Retrieval and
  Domain-Specificity
Survey on Factuality in Large Language Models: Knowledge, Retrieval and Domain-Specificity
Cunxiang Wang
Xiaoze Liu
Yuanhao Yue
Xiangru Tang
Tianhang Zhang
...
Linyi Yang
Yongfeng Zhang
Xing Xie
Zheng Zhang
Yue Zhang
HILMKELM
395
248
0
11 Oct 2023
Language Model Behavior: A Comprehensive Survey
Language Model Behavior: A Comprehensive SurveyInternational Conference on Computational Logic (ICCL), 2023
Tyler A. Chang
Benjamin Bergen
VLMLRMLM&MA
304
135
0
20 Mar 2023
The Science of Detecting LLM-Generated Texts
The Science of Detecting LLM-Generated TextsCommunications of the ACM (CACM), 2023
Ruixiang Tang
Yu-Neng Chuang
Helen Zhou
DeLMO
284
227
0
04 Feb 2023
MAUVE Scores for Generative Models: Theory and Practice
MAUVE Scores for Generative Models: Theory and PracticeJournal of machine learning research (JMLR), 2022
Krishna Pillutla
Lang Liu
John Thickstun
Sean Welleck
Swabha Swayamdipta
Rowan Zellers
Sewoong Oh
Yejin Choi
Zaïd Harchaoui
EGVM
228
29
0
30 Dec 2022
Reranking Overgenerated Responses for End-to-End Task-Oriented Dialogue
  Systems
Reranking Overgenerated Responses for End-to-End Task-Oriented Dialogue SystemsInternational Conference on Language Resources and Evaluation (LREC), 2022
Songbo Hu
Ivan Vulić
Fangyu Liu
Anna Korhonen
232
0
0
07 Nov 2022
Are Current Decoding Strategies Capable of Facing the Challenges of
  Visual Dialogue?
Are Current Decoding Strategies Capable of Facing the Challenges of Visual Dialogue?International Conference on Natural Language Generation (INLG), 2022
Amit Kumar Chaudhary
Alex J. Lucassen
Ioanna Tsani
A. Testoni
143
1
0
24 Oct 2022
A Continuum of Generation Tasks for Investigating Length Bias and
  Degenerate Repetition
A Continuum of Generation Tasks for Investigating Length Bias and Degenerate RepetitionBlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP (BlackboxNLP), 2022
Darcey Riley
David Chiang
167
6
0
19 Oct 2022
Neural Generation Meets Real People: Building a Social, Informative
  Open-Domain Dialogue Agent
Neural Generation Meets Real People: Building a Social, Informative Open-Domain Dialogue AgentSIGDIAL Conferences (SIGDIAL), 2022
Ethan A. Chi
Ashwin Paranjape
A. See
Caleb Chiam
Trenton Chang
...
Dilara Soylu
Jillian Tang
A. Narayan
Giovanni Campagna
Christopher D. Manning
195
7
0
25 Jul 2022
RankGen: Improving Text Generation with Large Ranking Models
RankGen: Improving Text Generation with Large Ranking ModelsConference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Kalpesh Krishna
Yapei Chang
John Wieting
Mohit Iyyer
AIMat
273
78
0
19 May 2022
Autoregressive Search Engines: Generating Substrings as Document
  Identifiers
Autoregressive Search Engines: Generating Substrings as Document IdentifiersNeural Information Processing Systems (NeurIPS), 2022
Michele Bevilacqua
G. Ottaviano
Patrick Lewis
Anuj Kumar
Sebastian Riedel
Fabio Petroni
KELMRALM
299
193
0
22 Apr 2022
ZeroGen: Efficient Zero-shot Learning via Dataset Generation
ZeroGen: Efficient Zero-shot Learning via Dataset GenerationConference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Jiacheng Ye
Jiahui Gao
Qintong Li
Hang Xu
Jiangtao Feng
Zhiyong Wu
Tao Yu
Lingpeng Kong
SyDa
269
264
0
16 Feb 2022
Reframing Human-AI Collaboration for Generating Free-Text Explanations
Reframing Human-AI Collaboration for Generating Free-Text Explanations
Sarah Wiegreffe
Jack Hessel
Swabha Swayamdipta
Mark O. Riedl
Yejin Choi
215
169
0
16 Dec 2021
Know Thy Strengths: Comprehensive Dialogue State Tracking Diagnostics
Know Thy Strengths: Comprehensive Dialogue State Tracking Diagnostics
Hyundong Justin Cho
Chinnadhurai Sankar
Christopher Lin
Kaushik Ram Sadagopan
Shahin Shayandeh
Asli Celikyilmaz
Jonathan May
Ahmad Beirami
240
11
0
15 Dec 2021
Am I Me or You? State-of-the-Art Dialogue Models Cannot Maintain an
  Identity
Am I Me or You? State-of-the-Art Dialogue Models Cannot Maintain an Identity
Kurt Shuster
Jack Urbanek
Arthur Szlam
Jason Weston
HILM
217
27
0
10 Dec 2021
Unsupervised and Distributional Detection of Machine-Generated Text
Unsupervised and Distributional Detection of Machine-Generated Text
Matthias Gallé
Jos Rozen
Germán Kruszewski
Hady ElSahar
DeLMO
182
33
0
04 Nov 2021
Why don't people use character-level machine translation?
Why don't people use character-level machine translation?
Jindrich Libovický
Helmut Schmid
Kangyang Luo
263
34
0
15 Oct 2021
Rome was built in 1776: A Case Study on Factual Correctness in
  Knowledge-Grounded Response Generation
Rome was built in 1776: A Case Study on Factual Correctness in Knowledge-Grounded Response Generation
Sashank Santhanam
Behnam Hedayatnia
Spandana Gella
Aishwarya Padmakumar
Seokhwan Kim
Yang Liu
Dilek Z. Hakkani-Tür
207
37
0
11 Oct 2021
What Do You Get When You Cross Beam Search with Nucleus Sampling?
What Do You Get When You Cross Beam Search with Nucleus Sampling?First Workshop on Insights from Negative Results in NLP (Insights), 2021
Uri Shaham
Omer Levy
226
11
0
20 Jul 2021
Diversifying Dialog Generation via Adaptive Label Smoothing
Diversifying Dialog Generation via Adaptive Label SmoothingAnnual Meeting of the Association for Computational Linguistics (ACL), 2021
Yida Wang
Yinhe Zheng
Yong Jiang
Shiyu Huang
206
38
0
30 May 2021
Misinfo Reaction Frames: Reasoning about Readers' Reactions to News
  Headlines
Misinfo Reaction Frames: Reasoning about Readers' Reactions to News HeadlinesAnnual Meeting of the Association for Computational Linguistics (ACL), 2021
Saadia Gabriel
Skyler Hallinan
Maarten Sap
Pemi Nguyen
Franziska Roesner
Eunsol Choi
Yejin Choi
395
51
0
18 Apr 2021
MAUVE: Measuring the Gap Between Neural Text and Human Text using
  Divergence Frontiers
MAUVE: Measuring the Gap Between Neural Text and Human Text using Divergence FrontiersNeural Information Processing Systems (NeurIPS), 2021
Krishna Pillutla
Swabha Swayamdipta
Rowan Zellers
John Thickstun
Sean Welleck
Yejin Choi
Zaïd Harchaoui
321
439
0
02 Feb 2021
WikiTableT: A Large-Scale Data-to-Text Dataset for Generating Wikipedia
  Article Sections
WikiTableT: A Large-Scale Data-to-Text Dataset for Generating Wikipedia Article SectionsFindings (Findings), 2020
Mingda Chen
Sam Wiseman
Kevin Gimpel
342
37
0
29 Dec 2020
Automatic Detection of Machine Generated Text: A Critical Survey
Automatic Detection of Machine Generated Text: A Critical SurveyInternational Conference on Computational Linguistics (COLING), 2020
Ganesh Jawahar
Muhammad Abdul-Mageed
L. Lakshmanan
DeLMO
246
273
0
02 Nov 2020
GO FIGURE: A Meta Evaluation of Factuality in Summarization
GO FIGURE: A Meta Evaluation of Factuality in SummarizationFindings (Findings), 2020
Saadia Gabriel
Asli Celikyilmaz
Rahul Jha
Yejin Choi
Jianfeng Gao
HILM
480
105
0
24 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
214
0
0
14 Oct 2020
Autoregressive Entity Retrieval
Autoregressive Entity RetrievalInternational Conference on Learning Representations (ICLR), 2020
Nicola De Cao
Gautier Izacard
Sebastian Riedel
Fabio Petroni
761
511
0
02 Oct 2020
Evaluation of Text Generation: A Survey
Evaluation of Text Generation: A Survey
Asli Celikyilmaz
Elizabeth Clark
Jianfeng Gao
ELMLM&MA
304
416
0
26 Jun 2020
Video Understanding as Machine Translation
Bruno Korbar
Fabio Petroni
Rohit Girdhar
Lorenzo Torresani
SSL
195
29
0
12 Jun 2020
How Context Affects Language Models' Factual Predictions
How Context Affects Language Models' Factual Predictions
Fabio Petroni
Patrick Lewis
Aleksandra Piktus
Tim Rocktaschel
Yuxiang Wu
Alexander H. Miller
Sebastian Riedel
KELM
190
252
0
10 May 2020
Recipes for building an open-domain chatbot
Recipes for building an open-domain chatbotConference of the European Chapter of the Association for Computational Linguistics (EACL), 2020
Stephen Roller
Emily Dinan
Naman Goyal
Da Ju
Mary Williamson
...
Myle Ott
Kurt Shuster
Eric Michael Smith
Y-Lan Boureau
Jason Weston
ALM
465
1,075
0
28 Apr 2020
Semantics of the Unwritten: The Effect of End of Paragraph and Sequence
  Tokens on Text Generation with GPT2
Semantics of the Unwritten: The Effect of End of Paragraph and Sequence Tokens on Text Generation with GPT2Annual Meeting of the Association for Computational Linguistics (ACL), 2020
Richard He Bai
Peng Shi
Jimmy J. Lin
Luchen Tan
Kun Xiong
Wen Gao
Jie Liu
Ming Li
191
6
0
05 Apr 2020
Investigating Entity Knowledge in BERT with Simple Neural End-To-End
  Entity Linking
Investigating Entity Knowledge in BERT with Simple Neural End-To-End Entity LinkingConference on Computational Natural Language Learning (CoNLL), 2019
Samuel Broscheit
OCL
201
134
0
11 Mar 2020
How Much Knowledge Can You Pack Into the Parameters of a Language Model?
How Much Knowledge Can You Pack Into the Parameters of a Language Model?Conference on Empirical Methods in Natural Language Processing (EMNLP), 2020
Adam Roberts
Colin Raffel
Noam M. Shazeer
KELM
468
981
0
10 Feb 2020
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
601
1,353
0
11 Sep 2019
Mixture Content Selection for Diverse Sequence Generation
Mixture Content Selection for Diverse Sequence GenerationConference on Empirical Methods in Natural Language Processing (EMNLP), 2019
Jaemin Cho
Minjoon Seo
Hannaneh Hajishirzi
133
63
0
04 Sep 2019
Language Models as Knowledge Bases?
Language Models as Knowledge Bases?Conference on Empirical Methods in Natural Language Processing (EMNLP), 2019
Fabio Petroni
Tim Rocktaschel
Patrick Lewis
A. Bakhtin
Yuxiang Wu
Alexander H. Miller
Sebastian Riedel
KELMAI4MH
900
2,953
0
03 Sep 2019
Incorporating Word and Subword Units in Unsupervised Machine Translation
  Using Language Model Rescoring
Incorporating Word and Subword Units in Unsupervised Machine Translation Using Language Model RescoringConference on Machine Translation (WMT), 2019
Zihan Liu
Yan Xu
Genta Indra Winata
Pascale Fung
312
22
0
16 Aug 2019
Neural Text Generation with Unlikelihood Training
Neural Text Generation with Unlikelihood TrainingInternational Conference on Learning Representations (ICLR), 2019
Sean Welleck
Ilia Kulikov
Stephen Roller
Emily Dinan
Dong Wang
Jason Weston
MU
401
641
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
2.2K
27,538
0
26 Jul 2019
XLNet: Generalized Autoregressive Pretraining for Language Understanding
XLNet: Generalized Autoregressive Pretraining for Language UnderstandingNeural Information Processing Systems (NeurIPS), 2019
Zhilin Yang
Zihang Dai
Yiming Yang
J. Carbonell
Ruslan Salakhutdinov
Quoc V. Le
AI4CE
857
9,025
0
19 Jun 2019
Barack's Wife Hillary: Using Knowledge-Graphs for Fact-Aware Language
  Modeling
Barack's Wife Hillary: Using Knowledge-Graphs for Fact-Aware Language ModelingAnnual Meeting of the Association for Computational Linguistics (ACL), 2019
IV RobertL.Logan
Nelson F. Liu
Matthew E. Peters
Matt Gardner
Sameer Singh
RALM
269
201
0
17 Jun 2019
Real or Fake? Learning to Discriminate Machine from Human Generated Text
Real or Fake? Learning to Discriminate Machine from Human Generated Text
A. Bakhtin
Sam Gross
Myle Ott
Yuntian Deng
MarcÁurelio Ranzato
Arthur Szlam
DeLMO
274
183
0
07 Jun 2019
Defending Against Neural Fake News
Defending Against Neural Fake NewsNeural Information Processing Systems (NeurIPS), 2019
Rowan Zellers
Ari Holtzman
Hannah Rashkin
Yonatan Bisk
Ali Farhadi
Franziska Roesner
Yejin Choi
AAML
347
1,144
0
29 May 2019
Exposure Bias versus Self-Recovery: Are Distortions Really Incremental
  for Autoregressive Text Generation?
Exposure Bias versus Self-Recovery: Are Distortions Really Incremental for Autoregressive Text Generation?Conference on Empirical Methods in Natural Language Processing (EMNLP), 2019
Tianxing He
Jingzhao Zhang
Zhiming Zhou
James R. Glass
421
41
0
25 May 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
400
3,691
0
22 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
VLMFaML
495
3,304
0
01 Apr 2019
Adversarial attacks against Fact Extraction and VERification
Adversarial attacks against Fact Extraction and VERification
James Thorne
Andreas Vlachos
FedMLAAML
195
26
0
13 Mar 2019
Non-Monotonic Sequential Text Generation
Non-Monotonic Sequential Text Generation
Sean Welleck
Kianté Brantley
Hal Daumé
Dong Wang
387
132
0
05 Feb 2019
12
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