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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 Frontiers

2 February 2021
Krishna Pillutla
Swabha Swayamdipta
Rowan Zellers
John Thickstun
Sean Welleck
Yejin Choi
Zaïd Harchaoui
ArXivPDFHTML

Papers citing "MAUVE: Measuring the Gap Between Neural Text and Human Text using Divergence Frontiers"

24 / 74 papers shown
Title
On the Blind Spots of Model-Based Evaluation Metrics for Text Generation
On the Blind Spots of Model-Based Evaluation Metrics for Text Generation
Tianxing He
Jingyu Zhang
Tianle Wang
Sachin Kumar
Kyunghyun Cho
James R. Glass
Yulia Tsvetkov
27
44
0
20 Dec 2022
Latent Diffusion for Language Generation
Latent Diffusion for Language Generation
Justin Lovelace
Varsha Kishore
Chao-gang Wan
Eliot Shekhtman
Kilian Q. Weinberger
DiffM
24
71
0
19 Dec 2022
Momentum Decoding: Open-ended Text Generation As Graph Exploration
Momentum Decoding: Open-ended Text Generation As Graph Exploration
Tian Lan
Yixuan Su
Shuhang Liu
Heyan Huang
Xian-Ling Mao
39
5
0
05 Dec 2022
Measuring the Measuring Tools: An Automatic Evaluation of Semantic
  Metrics for Text Corpora
Measuring the Measuring Tools: An Automatic Evaluation of Semantic Metrics for Text Corpora
George Kour
Samuel Ackerman
Orna Raz
E. Farchi
Boaz Carmeli
Ateret Anaby-Tavor
34
10
0
29 Nov 2022
Best-$k$ Search Algorithm for Neural Text Generation
Best-kkk Search Algorithm for Neural Text Generation
Jiacheng Xu
Caiming Xiong
Silvio Savarese
Yingbo Zhou
30
5
0
22 Nov 2022
Evade the Trap of Mediocrity: Promoting Diversity and Novelty in Text
  Generation via Concentrating Attention
Evade the Trap of Mediocrity: Promoting Diversity and Novelty in Text Generation via Concentrating Attention
Wenhao Li
Xiaoyuan Yi
Jinyi Hu
Maosong Sun
Xing Xie
21
0
0
14 Nov 2022
SSD-LM: Semi-autoregressive Simplex-based Diffusion Language Model for
  Text Generation and Modular Control
SSD-LM: Semi-autoregressive Simplex-based Diffusion Language Model for Text Generation and Modular Control
Xiaochuang Han
Sachin Kumar
Yulia Tsvetkov
30
79
0
31 Oct 2022
Truncation Sampling as Language Model Desmoothing
Truncation Sampling as Language Model Desmoothing
John Hewitt
Christopher D. Manning
Percy Liang
BDL
36
75
0
27 Oct 2022
Contrastive Decoding: Open-ended Text Generation as Optimization
Contrastive Decoding: Open-ended Text Generation as Optimization
Xiang Lisa Li
Ari Holtzman
Daniel Fried
Percy Liang
Jason Eisner
Tatsunori Hashimoto
Luke Zettlemoyer
M. Lewis
28
321
0
27 Oct 2022
Synthetic Text Generation with Differential Privacy: A Simple and
  Practical Recipe
Synthetic Text Generation with Differential Privacy: A Simple and Practical Recipe
Xiang Yue
Huseyin A. Inan
Xuechen Li
Girish Kumar
Julia McAnallen
Hoda Shajari
Huan Sun
David Levitan
Robert Sim
36
79
0
25 Oct 2022
Model Criticism for Long-Form Text Generation
Model Criticism for Long-Form Text Generation
Yuntian Deng
Volodymyr Kuleshov
Alexander M. Rush
31
19
0
16 Oct 2022
Composable Text Controls in Latent Space with ODEs
Composable Text Controls in Latent Space with ODEs
Guangyi Liu
Zeyu Feng
Yuan Gao
Zichao Yang
Xiaodan Liang
Junwei Bao
Xiaodong He
Shuguang Cui
Zhen Li
Zhiting Hu
AI4CE
DiffM
31
32
0
01 Aug 2022
Fuse It More Deeply! A Variational Transformer with Layer-Wise Latent
  Variable Inference for Text Generation
Fuse It More Deeply! A Variational Transformer with Layer-Wise Latent Variable Inference for Text Generation
Jinyi Hu
Xiaoyuan Yi
Wenhao Li
Maosong Sun
Xing Xie
16
21
0
13 Jul 2022
On the Usefulness of Embeddings, Clusters and Strings for Text Generator
  Evaluation
On the Usefulness of Embeddings, Clusters and Strings for Text Generator Evaluation
Tiago Pimentel
Clara Meister
Ryan Cotterell
38
7
0
31 May 2022
Quark: Controllable Text Generation with Reinforced Unlearning
Quark: Controllable Text Generation with Reinforced Unlearning
Ximing Lu
Sean Welleck
Jack Hessel
Liwei Jiang
Lianhui Qin
Peter West
Prithviraj Ammanabrolu
Yejin Choi
MU
49
206
0
26 May 2022
RankGen: Improving Text Generation with Large Ranking Models
RankGen: Improving Text Generation with Large Ranking Models
Kalpesh Krishna
Yapei Chang
John Wieting
Mohit Iyyer
AIMat
16
68
0
19 May 2022
ALLSH: Active Learning Guided by Local Sensitivity and Hardness
ALLSH: Active Learning Guided by Local Sensitivity and Hardness
Shujian Zhang
Chengyue Gong
Xingchao Liu
Pengcheng He
Weizhu Chen
Mingyuan Zhou
25
26
0
10 May 2022
Automatic Detection of Entity-Manipulated Text using Factual Knowledge
Automatic Detection of Entity-Manipulated Text using Factual Knowledge
Ganesh Jawahar
Muhammad Abdul-Mageed
L. Lakshmanan
DeLMO
20
10
0
19 Mar 2022
Probing BERT's priors with serial reproduction chains
Probing BERT's priors with serial reproduction chains
Takateru Yamakoshi
Thomas L. Griffiths
Robert D. Hawkins
18
12
0
24 Feb 2022
ZeroGen: Efficient Zero-shot Learning via Dataset Generation
ZeroGen: Efficient Zero-shot Learning via Dataset Generation
Jiacheng Ye
Jiahui Gao
Qintong Li
Hang Xu
Jiangtao Feng
Zhiyong Wu
Tao Yu
Lingpeng Kong
SyDa
43
211
0
16 Feb 2022
The Perils of Using Mechanical Turk to Evaluate Open-Ended Text
  Generation
The Perils of Using Mechanical Turk to Evaluate Open-Ended Text Generation
Marzena Karpinska
Nader Akoury
Mohit Iyyer
204
106
0
14 Sep 2021
Divergence Frontiers for Generative Models: Sample Complexity,
  Quantization Effects, and Frontier Integrals
Divergence Frontiers for Generative Models: Sample Complexity, Quantization Effects, and Frontier Integrals
Lang Liu
Krishna Pillutla
Sean Welleck
Sewoong Oh
Yejin Choi
Zaïd Harchaoui
MQ
25
14
0
15 Jun 2021
Language GANs Falling Short
Language GANs Falling Short
Massimo Caccia
Lucas Page-Caccia
W. Fedus
Hugo Larochelle
Joelle Pineau
Laurent Charlin
119
215
0
06 Nov 2018
Revisiting Classifier Two-Sample Tests
Revisiting Classifier Two-Sample Tests
David Lopez-Paz
Maxime Oquab
78
390
0
20 Oct 2016
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