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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?

25 May 2019
Tianxing He
Jingzhao Zhang
Zhiming Zhou
James R. Glass
ArXivPDFHTML

Papers citing "Exposure Bias versus Self-Recovery: Are Distortions Really Incremental for Autoregressive Text Generation?"

6 / 6 papers shown
Title
Beyond Next-Token: Next-X Prediction for Autoregressive Visual Generation
Beyond Next-Token: Next-X Prediction for Autoregressive Visual Generation
Sucheng Ren
Qihang Yu
Ju He
Xiaohui Shen
Alan Yuille
Liang-Chieh Chen
VGen
83
6
0
27 Feb 2025
Tailoring Language Generation Models under Total Variation Distance
Tailoring Language Generation Models under Total Variation Distance
Haozhe Ji
Pei Ke
Zhipeng Hu
Rongsheng Zhang
Minlie Huang
28
18
0
26 Feb 2023
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
40
44
0
20 Dec 2022
Selective Token Generation for Few-shot Natural Language Generation
Selective Token Generation for Few-shot Natural Language Generation
DaeJin Jo
Taehwan Kwon
Eun-Sol Kim
Sungwoong Kim
35
1
0
17 Sep 2022
Survey of Hallucination in Natural Language Generation
Survey of Hallucination in Natural Language Generation
Ziwei Ji
Nayeon Lee
Rita Frieske
Tiezheng Yu
D. Su
...
Delong Chen
Wenliang Dai
Ho Shu Chan
Andrea Madotto
Pascale Fung
HILM
LRM
58
2,243
0
08 Feb 2022
Language GANs Falling Short
Language GANs Falling Short
Massimo Caccia
Lucas Caccia
W. Fedus
Hugo Larochelle
Joelle Pineau
Laurent Charlin
127
215
0
06 Nov 2018
1