ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2112.01404
  4. Cited By
LOGEN: Few-shot Logical Knowledge-Conditioned Text Generation with
  Self-training

LOGEN: Few-shot Logical Knowledge-Conditioned Text Generation with Self-training

2 December 2021
Shumin Deng
Jiacheng Yang
Hongbin Ye
Chuanqi Tan
Mosha Chen
Songfang Huang
Fei Huang
Huajun Chen
Ningyu Zhang
ArXivPDFHTML

Papers citing "LOGEN: Few-shot Logical Knowledge-Conditioned Text Generation with Self-training"

10 / 10 papers shown
Title
OntoED: Low-resource Event Detection with Ontology Embedding
OntoED: Low-resource Event Detection with Ontology Embedding
Shumin Deng
Ningyu Zhang
Luoqiu Li
Hui Chen
Huaixiao Tou
Mosha Chen
Fei Huang
Huajun Chen
47
55
0
23 May 2021
KnowPrompt: Knowledge-aware Prompt-tuning with Synergistic Optimization
  for Relation Extraction
KnowPrompt: Knowledge-aware Prompt-tuning with Synergistic Optimization for Relation Extraction
Xiang Chen
Ningyu Zhang
Xin Xie
Shumin Deng
Yunzhi Yao
Chuanqi Tan
Fei Huang
Luo Si
Huajun Chen
73
408
0
15 Apr 2021
Self-training Improves Pre-training for Natural Language Understanding
Self-training Improves Pre-training for Natural Language Understanding
Jingfei Du
Edouard Grave
Beliz Gunel
Vishrav Chaudhary
Onur Çelebi
Michael Auli
Ves Stoyanov
Alexis Conneau
VLM
LRM
SSL
38
164
0
05 Oct 2020
ToTTo: A Controlled Table-To-Text Generation Dataset
ToTTo: A Controlled Table-To-Text Generation Dataset
Ankur P. Parikh
Xuezhi Wang
Sebastian Gehrmann
Manaal Faruqui
Bhuwan Dhingra
Diyi Yang
Dipanjan Das
LMTD
53
361
0
29 Apr 2020
Logical Natural Language Generation from Open-Domain Tables
Logical Natural Language Generation from Open-Domain Tables
Wenhu Chen
Jianshu Chen
Yunde Su
Zhiyu Zoey Chen
William Yang Wang
LMTD
56
158
0
22 Apr 2020
Unified Language Model Pre-training for Natural Language Understanding
  and Generation
Unified Language Model Pre-training for Natural Language Understanding and Generation
Li Dong
Nan Yang
Wenhui Wang
Furu Wei
Xiaodong Liu
Yu Wang
Jianfeng Gao
M. Zhou
H. Hon
ELM
AI4CE
156
1,553
0
08 May 2019
Survey of the State of the Art in Natural Language Generation: Core
  tasks, applications and evaluation
Survey of the State of the Art in Natural Language Generation: Core tasks, applications and evaluation
Albert Gatt
E. Krahmer
LM&MA
ELM
64
814
0
29 Mar 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
763
11,793
0
09 Mar 2017
Improving Neural Machine Translation Models with Monolingual Data
Improving Neural Machine Translation Models with Monolingual Data
Rico Sennrich
Barry Haddow
Alexandra Birch
216
2,710
0
20 Nov 2015
Neural Machine Translation by Jointly Learning to Align and Translate
Neural Machine Translation by Jointly Learning to Align and Translate
Dzmitry Bahdanau
Kyunghyun Cho
Yoshua Bengio
AIMat
401
27,205
0
01 Sep 2014
1