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STraTA: Self-Training with Task Augmentation for Better Few-shot Learning
13 September 2021
Tu Vu
Minh-Thang Luong
Quoc V. Le
Grady Simon
Mohit Iyyer
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Papers citing
"STraTA: Self-Training with Task Augmentation for Better Few-shot Learning"
35 / 35 papers shown
Bridging Generative and Discriminative Learning: Few-Shot Relation Extraction via Two-Stage Knowledge-Guided Pre-training
International Joint Conference on Artificial Intelligence (IJCAI), 2025
Quanjiang Guo
Jinchuan Zhang
Sijie Wang
Ling Tian
Zhao Kang
Bin Yan
Weidong Xiao
391
6
0
18 May 2025
Efficient Model Development through Fine-tuning Transfer
Pin-Jie Lin
Rishab Balasubramanian
Fengyuan Liu
Nikhil Kandpal
Tu Vu
504
4
0
25 Mar 2025
SimRAG: Self-Improving Retrieval-Augmented Generation for Adapting Large Language Models to Specialized Domains
North American Chapter of the Association for Computational Linguistics (NAACL), 2024
Ran Xu
Hui Liu
Jiapeng Liu
Zhenwei Dai
Yaochen Xie
...
Chen Luo
Yang Li
Joyce C. Ho
Carl Yang
Qi He
RALM
617
37
0
28 Jan 2025
Auto-GDA: Automatic Domain Adaptation for Efficient Grounding Verification in Retrieval-Augmented Generation
Tobias Leemann
Periklis Petridis
G. Vietri
Dionysis Manousakas
Aaron Roth
Sergul Aydore
560
0
0
04 Oct 2024
LLM-GAN: Construct Generative Adversarial Network Through Large Language Models For Explainable Fake News Detection
Yifeng Wang
Zhouhong Gu
Siwei Zhang
Suhang Zheng
Tao Wang
Tianyu Li
Hongwei Feng
Yanghua Xiao
301
12
0
03 Sep 2024
Self-Training with Direct Preference Optimization Improves Chain-of-Thought Reasoning
Tianduo Wang
Shichen Li
Wei Lu
LRM
AI4CE
282
38
1
25 Jul 2024
Self-Training for Sample-Efficient Active Learning for Text Classification with Pre-Trained Language Models
Christopher Schröder
Gerhard Heyer
VLM
282
1
0
13 Jun 2024
Language Models can Exploit Cross-Task In-context Learning for Data-Scarce Novel Tasks
Annual Meeting of the Association for Computational Linguistics (ACL), 2024
Anwoy Chatterjee
Eshaan Tanwar
Subhabrata Dutta
Tanmoy Chakraborty
LRM
476
19
0
17 May 2024
A synthetic data approach for domain generalization of NLI models
Mohammad Javad Hosseini
Andrey Petrov
Alex Fabrikant
Annie Louis
SyDa
328
19
0
19 Feb 2024
A Survey on Data Augmentation in Large Model Era
Yue Zhou
Chenlu Guo
Xu Wang
Yi-Ju Chang
Yuan Wu
LM&MA
VLM
540
53
0
27 Jan 2024
Neural Networks Against (and For) Self-Training: Classification with Small Labeled and Large Unlabeled Sets
Annual Meeting of the Association for Computational Linguistics (ACL), 2023
Payam Karisani
287
2
0
31 Dec 2023
A Unified Framework for Generative Data Augmentation: A Comprehensive Survey
Yunhao Chen
Zihui Yan
Yunjie Zhu
370
5
0
30 Sep 2023
On the Importance of Spatial Relations for Few-shot Action Recognition
ACM Multimedia (ACM MM), 2023
Yilun Zhang
Yu Fu
Jiabo He
Lizhe Qi
Yue Yu
Zuxuan Wu
Yueping Jiang
ViT
302
17
0
14 Aug 2023
KEST: Kernel Distance Based Efficient Self-Training for Improving Controllable Text Generation
International Joint Conference on Artificial Intelligence (IJCAI), 2023
Yuxi Feng
Xiaoyuan Yi
L. Lakshmanan
Xing Xie
229
1
0
17 Jun 2023
Few-shot Unified Question Answering: Tuning Models or Prompts?
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Srijan Bansal
Semih Yavuz
Bo Pang
Meghana Moorthy Bhat
Yingbo Zhou
455
3
0
23 May 2023
Data-efficient Active Learning for Structured Prediction with Partial Annotation and Self-Training
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Zhisong Zhang
Emma Strubell
Eduard H. Hovy
285
3
0
22 May 2023
MetaModulation: Learning Variational Feature Hierarchies for Few-Shot Learning with Fewer Tasks
International Conference on Machine Learning (ICML), 2023
Wenfang Sun
Yingjun Du
Xiantong Zhen
Fan Wang
Lingling Wang
Cees G. M. Snoek
228
9
0
17 May 2023
Few-shot Multimodal Multitask Multilingual Learning
Vasu Sharma
Vinija Jain
259
0
0
19 Feb 2023
BLIAM: Literature-based Data Synthesis for Synergistic Drug Combination Prediction
Cai Yang
Addie Woicik
Hoifung Poon
Sheng Wang
341
4
0
14 Feb 2023
An Augmentation Strategy for Visually Rich Documents
Jing Xie
James Bradley Wendt
Yichao Zhou
Seth Ebner
Sandeep Tata
288
0
0
20 Dec 2022
DuNST: Dual Noisy Self Training for Semi-Supervised Controllable Text Generation
Annual Meeting of the Association for Computational Linguistics (ACL), 2022
Yuxi Feng
Xiaoyuan Yi
Xiting Wang
L. Lakshmanan
Xing Xie
DiffM
304
5
0
16 Dec 2022
Self-Training with Purpose Preserving Augmentation Improves Few-shot Generative Dialogue State Tracking
Jihyun Lee
C. Lee
Yunsu Kim
G. G. Lee
165
0
0
17 Nov 2022
Reasoning Circuits: Few-shot Multihop Question Generation with Structured Rationales
Saurabh Kulshreshtha
Anna Rumshisky
ReLM
LRM
211
4
0
15 Nov 2022
Overcoming Catastrophic Forgetting in Zero-Shot Cross-Lingual Generation
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Tu Vu
Aditya Barua
Brian Lester
Daniel Cer
Mohit Iyyer
Noah Constant
CLL
431
72
0
25 May 2022
Leveraging QA Datasets to Improve Generative Data Augmentation
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Dheeraj Mekala
Tu Vu
Timo Schick
Jingbo Shang
297
20
0
25 May 2022
Automatic Rule Induction for Interpretable Semi-Supervised Learning
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Reid Pryzant
Ziyi Yang
Yichong Xu
Chenguang Zhu
Michael Zeng
386
11
0
18 May 2022
Few-shot Mining of Naturally Occurring Inputs and Outputs
Mandar Joshi
Terra Blevins
M. Lewis
Daniel S. Weld
Luke Zettlemoyer
304
1
0
09 May 2022
Improving In-Context Few-Shot Learning via Self-Supervised Training
North American Chapter of the Association for Computational Linguistics (NAACL), 2022
Mingda Chen
Jingfei Du
Ramakanth Pasunuru
Todor Mihaylov
Srini Iyer
Ves Stoyanov
Zornitsa Kozareva
SSL
AI4MH
372
79
0
03 May 2022
Stretching Sentence-pair NLI Models to Reason over Long Documents and Clusters
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Tal Schuster
Sihao Chen
S. Buthpitiya
Alex Fabrikant
Donald Metzler
340
49
0
15 Apr 2022
ZeroGen: Efficient Zero-shot Learning via Dataset Generation
Conference 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
418
294
0
16 Feb 2022
SPoT: Better Frozen Model Adaptation through Soft Prompt Transfer
Tu Vu
Brian Lester
Noah Constant
Rami Al-Rfou
Daniel Cer
VLM
LRM
534
330
0
15 Oct 2021
LiST: Lite Prompted Self-training Makes Parameter-Efficient Few-shot Learners
Yaqing Wang
Subhabrata Mukherjee
Xiaodong Liu
Jing Gao
Ahmed Hassan Awadallah
Jianfeng Gao
VLM
BDL
295
11
0
12 Oct 2021
Unsupervised Neural Machine Translation with Generative Language Models Only
Jesse Michael Han
Igor Babuschkin
Harrison Edwards
Arvind Neelakantan
Tao Xu
...
Alex Ray
Pranav Shyam
Aditya A. Ramesh
Alec Radford
Ilya Sutskever
333
42
0
11 Oct 2021
Generate, Annotate, and Learn: NLP with Synthetic Text
Transactions of the Association for Computational Linguistics (TACL), 2021
Xuanli He
Islam Nassar
J. Kiros
Gholamreza Haffari
Mohammad Norouzi
409
68
0
11 Jun 2021
Cycle Self-Training for Domain Adaptation
Neural Information Processing Systems (NeurIPS), 2021
Hong Liu
Jianmin Wang
Mingsheng Long
544
219
0
05 Mar 2021
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