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GPT Understands, Too
v1v2 (latest)

GPT Understands, Too

AI Open (AO), 2021
18 March 2021
Xiao Liu
Yanan Zheng
Zhengxiao Du
Ming Ding
Yujie Qian
Zhilin Yang
Jie Tang
    VLM
ArXiv (abs)PDFHTMLHuggingFace (10 upvotes)

Papers citing "GPT Understands, Too"

50 / 653 papers shown
Commonsense Knowledge Salience Evaluation with a Benchmark Dataset in
  E-commerce
Commonsense Knowledge Salience Evaluation with a Benchmark Dataset in E-commerceConference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Yincen Qu
Ningyu Zhang
Hui Chen
Zelin Dai
Zezhong Xu
Chengming Wang
Xiaoyu Wang
Qianglin Chen
Huajun Chen
208
7
0
22 May 2022
Few-Shot Natural Language Inference Generation with PDD: Prompt and
  Dynamic Demonstration
Few-Shot Natural Language Inference Generation with PDD: Prompt and Dynamic Demonstration
Kaijian Li
Shansan Gong
Kenny Q. Zhu
128
0
0
21 May 2022
SeqZero: Few-shot Compositional Semantic Parsing with Sequential Prompts
  and Zero-shot Models
SeqZero: Few-shot Compositional Semantic Parsing with Sequential Prompts and Zero-shot Models
Jingfeng Yang
Haoming Jiang
Qingyu Yin
Danqing Zhang
Bing Yin
Diyi Yang
167
51
0
15 May 2022
Adaptive Prompt Learning-based Few-Shot Sentiment Analysis
Adaptive Prompt Learning-based Few-Shot Sentiment AnalysisNeural Processing Letters (NPL), 2022
Pengfei Zhang
Tingting Chai
Yongdong Xu
VLM
130
19
0
15 May 2022
A Comprehensive Survey of Few-shot Learning: Evolution, Applications,
  Challenges, and Opportunities
A Comprehensive Survey of Few-shot Learning: Evolution, Applications, Challenges, and OpportunitiesACM Computing Surveys (ACM CSUR), 2022
Yisheng Song
Ting-Yuan Wang
S. Mondal
J. P. Sahoo
SLR
368
562
0
13 May 2022
Dynamic Prefix-Tuning for Generative Template-based Event Extraction
Dynamic Prefix-Tuning for Generative Template-based Event ExtractionAnnual Meeting of the Association for Computational Linguistics (ACL), 2022
Xiao Liu
Heyan Huang
Ge Shi
Bo Wang
161
117
0
12 May 2022
Towards Unified Prompt Tuning for Few-shot Text Classification
Towards Unified Prompt Tuning for Few-shot Text ClassificationConference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Jiadong Wang
Chengyu Wang
Fuli Luo
Chuanqi Tan
Minghui Qiu
Fei Yang
Qiuhui Shi
Songfang Huang
Ming Gao
VLM
128
34
0
11 May 2022
Empowering parameter-efficient transfer learning by recognizing the
  kernel structure in self-attention
Empowering parameter-efficient transfer learning by recognizing the kernel structure in self-attention
Yifan Chen
Devamanyu Hazarika
Mahdi Namazifar
Yang Liu
Di Jin
Dilek Z. Hakkani-Tür
119
8
0
07 May 2022
KECP: Knowledge Enhanced Contrastive Prompting for Few-shot Extractive
  Question Answering
KECP: Knowledge Enhanced Contrastive Prompting for Few-shot Extractive Question AnsweringConference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Jiadong Wang
Chengyu Wang
Minghui Qiu
Qiuhui Shi
Hongbin Wang
Yanjie Liang
Ming Gao
RALM
186
19
0
06 May 2022
Relation Extraction as Open-book Examination: Retrieval-enhanced Prompt
  Tuning
Relation Extraction as Open-book Examination: Retrieval-enhanced Prompt TuningAnnual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2022
Xiang Chen
Lei Li
Ningyu Zhang
Chuanqi Tan
Fei Huang
Luo Si
Huajun Chen
RALMVLM
224
42
0
04 May 2022
P^3 Ranker: Mitigating the Gaps between Pre-training and Ranking
  Fine-tuning with Prompt-based Learning and Pre-finetuning
P^3 Ranker: Mitigating the Gaps between Pre-training and Ranking Fine-tuning with Prompt-based Learning and Pre-finetuningAnnual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2022
Xiaomeng Hu
S. Yu
Chenyan Xiong
Zhenghao Liu
Zhiyuan Liu
Geoffrey X. Yu
149
12
0
04 May 2022
SparCAssist: A Model Risk Assessment Assistant Based on Sparse Generated
  Counterfactuals
SparCAssist: A Model Risk Assessment Assistant Based on Sparse Generated CounterfactualsAnnual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2022
Zijian Zhang
Vinay Setty
Avishek Anand
153
7
0
03 May 2022
Learning to Transfer Prompts for Text Generation
Learning to Transfer Prompts for Text GenerationNorth American Chapter of the Association for Computational Linguistics (NAACL), 2022
Junyi Li
Tianyi Tang
J. Nie
Ji-Rong Wen
Wayne Xin Zhao
195
44
0
03 May 2022
EasyNLP: A Comprehensive and Easy-to-use Toolkit for Natural Language
  Processing
EasyNLP: A Comprehensive and Easy-to-use Toolkit for Natural Language ProcessingConference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Chengyu Wang
Minghui Qiu
Chen Shi
Taolin Zhang
Tingting Liu
Lei Li
Jiadong Wang
Ming Wang
Yanjie Liang
W. Lin
214
22
0
30 Apr 2022
Tailor: A Prompt-Based Approach to Attribute-Based Controlled Text
  Generation
Tailor: A Prompt-Based Approach to Attribute-Based Controlled Text Generation
Kexin Yang
Dayiheng Liu
Wenqiang Lei
Baosong Yang
Mingfeng Xue
Boxing Chen
Jun Xie
148
31
0
28 Apr 2022
Probing Simile Knowledge from Pre-trained Language Models
Probing Simile Knowledge from Pre-trained Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL), 2022
Weijie Chen
Yongzhu Chang
Rongsheng Zhang
Jiashu Pu
Guandan Chen
Le Zhang
Yadong Xi
Yijiang Chen
Chang Su
134
11
0
27 Apr 2022
A Contrastive Cross-Channel Data Augmentation Framework for Aspect-based
  Sentiment Analysis
A Contrastive Cross-Channel Data Augmentation Framework for Aspect-based Sentiment AnalysisInternational Conference on Computational Linguistics (COLING), 2022
Bing Wang
Liang Ding
Qihuang Zhong
Ximing Li
Dacheng Tao
184
41
0
16 Apr 2022
Probing Script Knowledge from Pre-Trained Models
Probing Script Knowledge from Pre-Trained Models
Zijian Jin
Xingyu Zhang
Mo Yu
Lifu Huang
159
5
0
16 Apr 2022
mGPT: Few-Shot Learners Go Multilingual
mGPT: Few-Shot Learners Go MultilingualTransactions of the Association for Computational Linguistics (TACL), 2022
Oleh Shliazhko
Alena Fenogenova
Maria Tikhonova
Vladislav Mikhailov
Anastasia Kozlova
Tatiana Shavrina
360
190
0
15 Apr 2022
IDPG: An Instance-Dependent Prompt Generation Method
IDPG: An Instance-Dependent Prompt Generation MethodNorth American Chapter of the Association for Computational Linguistics (NAACL), 2022
Zhuofeng Wu
Sinong Wang
Jiatao Gu
Rui Hou
Yuxiao Dong
V. Vydiswaran
Hao Ma
VLM
168
69
0
09 Apr 2022
PSP: Pre-trained Soft Prompts for Few-Shot Abstractive Summarization
PSP: Pre-trained Soft Prompts for Few-Shot Abstractive SummarizationInternational Conference on Computational Linguistics (COLING), 2022
Xiaochen Liu
Yang Gao
Yu Bai
Jiawei Li
Yinan Hu
Yang Gao
Boxing Chen
287
24
0
09 Apr 2022
Contrastive Demonstration Tuning for Pre-trained Language Models
Contrastive Demonstration Tuning for Pre-trained Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Xiaozhuan Liang
Ningyu Zhang
Shuyang Cheng
Zhenru Zhang
Chuanqi Tan
Huajun Chen
VLMALMVPVLM
261
10
0
09 Apr 2022
Knowledge Infused Decoding
Knowledge Infused DecodingInternational Conference on Learning Representations (ICLR), 2022
Ruibo Liu
Guoqing Zheng
Shashank Gupta
Radhika Gaonkar
Chongyang Gao
Soroush Vosoughi
Milad Shokouhi
Ahmed Hassan Awadallah
KELM
196
17
0
06 Apr 2022
Match-Prompt: Improving Multi-task Generalization Ability for Neural
  Text Matching via Prompt Learning
Match-Prompt: Improving Multi-task Generalization Ability for Neural Text Matching via Prompt LearningInternational Conference on Information and Knowledge Management (CIKM), 2022
Shicheng Xu
Liang Pang
Huawei Shen
Xueqi Cheng
VLM
164
18
0
06 Apr 2022
Inverse is Better! Fast and Accurate Prompt for Few-shot Slot Tagging
Inverse is Better! Fast and Accurate Prompt for Few-shot Slot TaggingFindings (Findings), 2022
Yutai Hou
Cheng Chen
Xianzhen Luo
Yue Liu
Wanxiang Che
BDL
165
26
0
02 Apr 2022
Making Pre-trained Language Models End-to-end Few-shot Learners with
  Contrastive Prompt Tuning
Making Pre-trained Language Models End-to-end Few-shot Learners with Contrastive Prompt TuningWeb Search and Data Mining (WSDM), 2022
Ziyun Xu
Chengyu Wang
Minghui Qiu
Fuli Luo
Runxin Xu
Songfang Huang
Yanjie Liang
VLM
215
40
0
01 Apr 2022
Exploring Visual Prompts for Adapting Large-Scale Models
Exploring Visual Prompts for Adapting Large-Scale Models
Hyojin Bahng
Ali Jahanian
S. Sankaranarayanan
Phillip Isola
VLMVPVLMLRM
379
341
0
31 Mar 2022
SpeechPrompt: An Exploration of Prompt Tuning on Generative Spoken
  Language Model for Speech Processing Tasks
SpeechPrompt: An Exploration of Prompt Tuning on Generative Spoken Language Model for Speech Processing Tasks
Kai-Wei Chang
Wei-Cheng Tseng
Shang-Wen Li
Hung-yi Lee
447
23
0
31 Mar 2022
Recommendation as Language Processing (RLP): A Unified Pretrain,
  Personalized Prompt & Predict Paradigm (P5)
Recommendation as Language Processing (RLP): A Unified Pretrain, Personalized Prompt & Predict Paradigm (P5)ACM Conference on Recommender Systems (RecSys), 2022
Shijie Geng
Shuchang Liu
Zuohui Fu
Yingqiang Ge
Zelong Li
VLMAI4TS
789
679
0
24 Mar 2022
Can Prompt Probe Pretrained Language Models? Understanding the Invisible
  Risks from a Causal View
Can Prompt Probe Pretrained Language Models? Understanding the Invisible Risks from a Causal ViewAnnual Meeting of the Association for Computational Linguistics (ACL), 2022
Boxi Cao
Hongyu Lin
Xianpei Han
Fangchao Liu
Le Sun
ELMAAML
139
45
0
23 Mar 2022
Prototypical Verbalizer for Prompt-based Few-shot Tuning
Prototypical Verbalizer for Prompt-based Few-shot TuningAnnual Meeting of the Association for Computational Linguistics (ACL), 2022
Ganqu Cui
Shengding Hu
Ning Ding
Longtao Huang
Zhiyuan Liu
VLM
184
113
0
18 Mar 2022
PRBoost: Prompt-Based Rule Discovery and Boosting for Interactive
  Weakly-Supervised Learning
PRBoost: Prompt-Based Rule Discovery and Boosting for Interactive Weakly-Supervised LearningAnnual Meeting of the Association for Computational Linguistics (ACL), 2022
Rongzhi Zhang
Yue Yu
Pranav Shetty
Le Song
Chao Zhang
372
28
0
18 Mar 2022
Hyperdecoders: Instance-specific decoders for multi-task NLP
Hyperdecoders: Instance-specific decoders for multi-task NLPConference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Michal Guerquin
Matthew E. Peters
AI4CE
350
23
0
15 Mar 2022
GrIPS: Gradient-free, Edit-based Instruction Search for Prompting Large
  Language Models
GrIPS: Gradient-free, Edit-based Instruction Search for Prompting Large Language ModelsConference of the European Chapter of the Association for Computational Linguistics (EACL), 2022
Archiki Prasad
Peter Hase
Xiang Zhou
Joey Tianyi Zhou
231
147
0
14 Mar 2022
Continual Prompt Tuning for Dialog State Tracking
Continual Prompt Tuning for Dialog State TrackingAnnual Meeting of the Association for Computational Linguistics (ACL), 2022
Qi Zhu
Bing Li
Fei Mi
Xiaoyan Zhu
Shiyu Huang
CLLKELM
233
67
0
13 Mar 2022
A Sentence is Worth 128 Pseudo Tokens: A Semantic-Aware Contrastive
  Learning Framework for Sentence Embeddings
A Sentence is Worth 128 Pseudo Tokens: A Semantic-Aware Contrastive Learning Framework for Sentence EmbeddingsFindings (Findings), 2022
Haochen Tan
Wei Shao
Han Wu
Ke Yang
Linqi Song
101
20
0
11 Mar 2022
Visual-Language Navigation Pretraining via Prompt-based Environmental
  Self-exploration
Visual-Language Navigation Pretraining via Prompt-based Environmental Self-explorationAnnual Meeting of the Association for Computational Linguistics (ACL), 2022
Xiwen Liang
Fengda Zhu
Lingling Li
Hang Xu
Xiaodan Liang
LM&RoVLM
119
33
0
08 Mar 2022
Pre-trained Token-replaced Detection Model as Few-shot Learner
Pre-trained Token-replaced Detection Model as Few-shot LearnerInternational Conference on Computational Linguistics (COLING), 2022
Zicheng Li
Shoushan Li
Guodong Zhou
178
10
0
07 Mar 2022
Input-Tuning: Adapting Unfamiliar Inputs to Frozen Pretrained Models
Input-Tuning: Adapting Unfamiliar Inputs to Frozen Pretrained Models
Shengnan An
Yifei Li
Zeqi Lin
Qian Liu
Bei Chen
Qiang Fu
Weizhu Chen
Nanning Zheng
Jian-Guang Lou
VLMAAML
218
47
0
07 Mar 2022
Revisiting Parameter-Efficient Tuning: Are We Really There Yet?
Revisiting Parameter-Efficient Tuning: Are We Really There Yet?Conference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Guanzheng Chen
Fangyu Liu
Zaiqiao Meng
Shangsong Liang
250
111
0
16 Feb 2022
Delving Deeper into Cross-lingual Visual Question Answering
Delving Deeper into Cross-lingual Visual Question AnsweringFindings (Findings), 2022
Chen Cecilia Liu
Jonas Pfeiffer
Anna Korhonen
Ivan Vulić
Iryna Gurevych
294
10
0
15 Feb 2022
Personalized Prompt Learning for Explainable Recommendation
Personalized Prompt Learning for Explainable Recommendation
Lei Li
Zelong Li
Li Chen
LRM
260
218
0
15 Feb 2022
Domain Adaptation via Prompt Learning
Domain Adaptation via Prompt LearningIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022
Chunjiang Ge
Rui Huang
Mixue Xie
Zihang Lai
Shiji Song
Shuang Li
Gao Huang
VPVLMVLM
263
217
0
14 Feb 2022
I-Tuning: Tuning Frozen Language Models with Image for Lightweight Image
  Captioning
I-Tuning: Tuning Frozen Language Models with Image for Lightweight Image CaptioningIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2022
Ziyang Luo
Zhipeng Hu
Yadong Xi
Rongsheng Zhang
Jing Ma
VLM
180
28
0
14 Feb 2022
Generating Training Data with Language Models: Towards Zero-Shot
  Language Understanding
Generating Training Data with Language Models: Towards Zero-Shot Language UnderstandingNeural Information Processing Systems (NeurIPS), 2022
Yu Meng
Jiaxin Huang
Yu Zhang
Jiawei Han
SyDa
224
274
0
09 Feb 2022
Prompt-Guided Injection of Conformation to Pre-trained Protein Model
Prompt-Guided Injection of Conformation to Pre-trained Protein Model
Qiang Zhang
Zeyuan Wang
Yuqiang Han
Haoran Yu
Xurui Jin
Huajun Chen
165
3
0
07 Feb 2022
Protum: A New Method For Prompt Tuning Based on "[MASK]"
Protum: A New Method For Prompt Tuning Based on "[MASK]"
Pan He
Yuxi Chen
Yan Wang
Yanru Zhang
AAML
98
5
0
28 Jan 2022
Ontology-enhanced Prompt-tuning for Few-shot Learning
Ontology-enhanced Prompt-tuning for Few-shot LearningThe Web Conference (WWW), 2022
Hongbin Ye
Ningyu Zhang
Shumin Deng
Xiang Chen
Hui Chen
Feiyu Xiong
Xi Chen
Huajun Chen
302
75
0
27 Jan 2022
Black-box Prompt Learning for Pre-trained Language Models
Black-box Prompt Learning for Pre-trained Language Models
Shizhe Diao
Zhichao Huang
Ruijia Xu
Xuechun Li
Yong Lin
Xiao Zhou
Tong Zhang
VLMAAML
290
83
0
21 Jan 2022
Instance-aware Prompt Learning for Language Understanding and Generation
Instance-aware Prompt Learning for Language Understanding and Generation
Feihu Jin
Jinliang Lu
Jiajun Zhang
Chengqing Zong
134
37
0
18 Jan 2022
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