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InsNet: An Efficient, Flexible, and Performant Insertion-based Text
  Generation Model

InsNet: An Efficient, Flexible, and Performant Insertion-based Text Generation Model

12 February 2021
Sidi Lu
Tao Meng
Nanyun Peng
ArXivPDFHTML

Papers citing "InsNet: An Efficient, Flexible, and Performant Insertion-based Text Generation Model"

4 / 4 papers shown
Title
Non-autoregressive Personalized Bundle Generation
Non-autoregressive Personalized Bundle Generation
Wenchuan Yang
Cheng Yang
Jichao Li
Yuejin Tan
Xin Lu
Chuan Shi
28
0
0
11 Jun 2024
A Comprehensive Survey on Data Augmentation
A Comprehensive Survey on Data Augmentation
Zaitian Wang
Pengfei Wang
Kunpeng Liu
Pengyang Wang
Yanjie Fu
Chang-Tien Lu
Charu Aggarwal
Jian Pei
Yuanchun Zhou
ViT
97
21
0
15 May 2024
A Pseudo-Semantic Loss for Autoregressive Models with Logical
  Constraints
A Pseudo-Semantic Loss for Autoregressive Models with Logical Constraints
Kareem Ahmed
Kai-Wei Chang
Guy Van den Broeck
26
10
0
06 Dec 2023
Amortizing intractable inference in large language models
Amortizing intractable inference in large language models
Marvin Schmitt
Moksh Jain
Daniel Habermann
Younesse Kaddar
Ullrich Kothe
Stefan T. Radev
Nikolay Malkin
AIFin
BDL
29
46
0
06 Oct 2023
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