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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 / 651 papers shown
Title
Are Personalized Stochastic Parrots More Dangerous? Evaluating Persona
  Biases in Dialogue Systems
Are Personalized Stochastic Parrots More Dangerous? Evaluating Persona Biases in Dialogue SystemsConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Yixin Wan
Jieyu Zhao
Vasu Sharma
Nanyun Peng
Kai-Wei Chang
263
40
0
08 Oct 2023
Prompt-augmented Temporal Point Process for Streaming Event Sequence
Prompt-augmented Temporal Point Process for Streaming Event SequenceNeural Information Processing Systems (NeurIPS), 2023
Siqiao Xue
Yan Wang
Zhixuan Chu
Xiaoming Shi
Caigao Jiang
Hongyan Hao
Gangwei Jiang
Xiaoyun Feng
James Y. Zhang
Junqing Zhou
AI4TS
164
28
0
08 Oct 2023
Demystifying Embedding Spaces using Large Language Models
Demystifying Embedding Spaces using Large Language ModelsInternational Conference on Learning Representations (ICLR), 2023
Guy Tennenholtz
Yinlam Chow
Chih-Wei Hsu
Jihwan Jeong
Lior Shani
Azamat Tulepbergenov
Deepak Ramachandran
Martin Mladenov
Craig Boutilier
140
17
0
06 Oct 2023
NOLA: Compressing LoRA using Linear Combination of Random Basis
NOLA: Compressing LoRA using Linear Combination of Random BasisInternational Conference on Learning Representations (ICLR), 2023
Soroush Abbasi Koohpayegani
K. Navaneet
Parsa Nooralinejad
Soheil Kolouri
Hamed Pirsiavash
258
26
0
04 Oct 2023
Prompting-based Temporal Domain Generalization
Prompting-based Temporal Domain Generalization
Sepidehsadat Hosseini
Mengyao Zhai
Hossein Hajimirsadegh
Frederick Tung
AI4TSAI4CEOOD
194
0
0
03 Oct 2023
Instances Need More Care: Rewriting Prompts for Instances with LLMs in
  the Loop Yields Better Zero-Shot Performance
Instances Need More Care: Rewriting Prompts for Instances with LLMs in the Loop Yields Better Zero-Shot PerformanceAnnual Meeting of the Association for Computational Linguistics (ACL), 2023
Saurabh Srivastava
Chengyue Huang
Weiguo Fan
Ziyu Yao
LLMAG
199
7
0
03 Oct 2023
Zero-Shot and Few-Shot Video Question Answering with Multi-Modal Prompts
Zero-Shot and Few-Shot Video Question Answering with Multi-Modal Prompts
Bipin Rajendran
Bashir M. Al-Hashimi
MLLMVLM
205
7
0
27 Sep 2023
Knowledgeable In-Context Tuning: Exploring and Exploiting Factual
  Knowledge for In-Context Learning
Knowledgeable In-Context Tuning: Exploring and Exploiting Factual Knowledge for In-Context Learning
Jiadong Wang
Chengyu Wang
Chuanqi Tan
Jun Huang
Ming Gao
KELM
238
8
0
26 Sep 2023
QA-LoRA: Quantization-Aware Low-Rank Adaptation of Large Language Models
QA-LoRA: Quantization-Aware Low-Rank Adaptation of Large Language ModelsInternational Conference on Learning Representations (ICLR), 2023
Yuhui Xu
Lingxi Xie
Xiaotao Gu
Xin Chen
Heng Chang
Hengheng Zhang
Zhensu Chen
Xiaopeng Zhang
Qi Tian
MQ
130
146
0
26 Sep 2023
Natural Language based Context Modeling and Reasoning for Ubiquitous
  Computing with Large Language Models: A Tutorial
Natural Language based Context Modeling and Reasoning for Ubiquitous Computing with Large Language Models: A Tutorial
Haoyi Xiong
Jiang Bian
Sijia Yang
Xiaofei Zhang
Linghe Kong
Daqing Zhang
LRMLLMAG
216
7
0
24 Sep 2023
Defending Pre-trained Language Models as Few-shot Learners against
  Backdoor Attacks
Defending Pre-trained Language Models as Few-shot Learners against Backdoor AttacksNeural Information Processing Systems (NeurIPS), 2023
Zhaohan Xi
Tianyu Du
Changjiang Li
Ren Pang
S. Ji
Jinghui Chen
Fenglong Ma
Ting Wang
AAML
128
43
0
23 Sep 2023
A Practical Survey on Zero-shot Prompt Design for In-context Learning
A Practical Survey on Zero-shot Prompt Design for In-context LearningRecent Advances in Natural Language Processing (RANLP), 2023
Yinheng Li
LRM
137
80
0
22 Sep 2023
On the Relationship between Skill Neurons and Robustness in Prompt
  Tuning
On the Relationship between Skill Neurons and Robustness in Prompt TuningInternational Conference on Language Resources and Evaluation (LREC), 2023
Leon Ackermann
Xenia Ohmer
AAML
123
0
0
21 Sep 2023
PEFTT: Parameter-Efficient Fine-Tuning for low-resource Tibetan
  pre-trained language models
PEFTT: Parameter-Efficient Fine-Tuning for low-resource Tibetan pre-trained language models
Mingjun Zhou
Daiqing Zhuoma
Qun Nuo
T. Nyima
183
1
0
21 Sep 2023
Prompt Tuned Embedding Classification for Multi-Label Industry Sector
  Allocation
Prompt Tuned Embedding Classification for Multi-Label Industry Sector AllocationNorth American Chapter of the Association for Computational Linguistics (NAACL), 2023
V. Buchner
Lele Cao
Jan-Christoph Kalo
Vilhelm von Ehrenheim
VLM
228
3
0
21 Sep 2023
Deep Prompt Tuning for Graph Transformers
Deep Prompt Tuning for Graph Transformers
Reza Shirkavand
Heng-Chiao Huang
169
9
0
18 Sep 2023
Dynamic-SUPERB: Towards A Dynamic, Collaborative, and Comprehensive
  Instruction-Tuning Benchmark for Speech
Dynamic-SUPERB: Towards A Dynamic, Collaborative, and Comprehensive Instruction-Tuning Benchmark for SpeechIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2023
Chien-yu Huang
Ke-Han Lu
Shi Wang
Chi-Yuan Hsiao
Chun-Yi Kuan
...
Roshan S. Sharma
Shinji Watanabe
Bhiksha Ramakrishnan
Shady Shehata
Hung-yi Lee
AuLLM
196
84
0
18 Sep 2023
How to Handle Different Types of Out-of-Distribution Scenarios in
  Computational Argumentation? A Comprehensive and Fine-Grained Field Study
How to Handle Different Types of Out-of-Distribution Scenarios in Computational Argumentation? A Comprehensive and Fine-Grained Field StudyAnnual Meeting of the Association for Computational Linguistics (ACL), 2023
Andreas Waldis
Yufang Hou
Iryna Gurevych
221
4
0
15 Sep 2023
Self-Consistent Narrative Prompts on Abductive Natural Language
  Inference
Self-Consistent Narrative Prompts on Abductive Natural Language InferenceInternational Joint Conference on Natural Language Processing (IJCNLP), 2023
Chunkit Chan
Xin Liu
Tszho Chan
Cheng Jiayang
Yangqiu Song
Ginny Wong
Simon See
LRM
130
8
0
15 Sep 2023
EvoPrompt: Connecting LLMs with Evolutionary Algorithms Yields Powerful Prompt Optimizers
EvoPrompt: Connecting LLMs with Evolutionary Algorithms Yields Powerful Prompt Optimizers
Qingyan Guo
Rui Wang
Junliang Guo
Bei Li
Kaitao Song
Xu Tan
Guoqing Liu
Jiang Bian
Yiran Yang
329
116
0
15 Sep 2023
PRE: Vision-Language Prompt Learning with Reparameterization Encoder
PRE: Vision-Language Prompt Learning with Reparameterization Encoder
Anh Pham Thi Minh
An Duc Nguyen
Georgios Tzimiropoulos
VPVLMVLM
180
3
0
14 Sep 2023
Do PLMs Know and Understand Ontological Knowledge?
Do PLMs Know and Understand Ontological Knowledge?Annual Meeting of the Association for Computational Linguistics (ACL), 2023
Weiqi Wu
Chengyue Jiang
Yong Jiang
Pengjun Xie
Kewei Tu
224
33
0
12 Sep 2023
Retrieval-Augmented Meta Learning for Low-Resource Text Classification
Retrieval-Augmented Meta Learning for Low-Resource Text ClassificationIEEE International Joint Conference on Neural Network (IJCNN), 2023
Rongsheng Li
Yongqian Li
Hai-Tao Zheng
Chaiyut Luoyiching
Hai-Tao Zheng
Nannan Zhou
Hanjing Su
RALM
199
2
0
10 Sep 2023
Manifold-based Verbalizer Space Re-embedding for Tuning-free
  Prompt-based Classification
Manifold-based Verbalizer Space Re-embedding for Tuning-free Prompt-based ClassificationAAAI Conference on Artificial Intelligence (AAAI), 2023
Hao Wang
Sendong Zhao
Chi-Liang Liu
Nuwa Xi
Muzhen Cai
Bing Qin
Ting Liu
134
3
0
08 Sep 2023
Large Language Models as Optimizers
Large Language Models as OptimizersInternational Conference on Learning Representations (ICLR), 2023
Chengrun Yang
Xuezhi Wang
Yifeng Lu
Hanxiao Liu
Quoc V. Le
Denny Zhou
Xinyun Chen
ODL
432
603
0
07 Sep 2023
Parameter and Computation Efficient Transfer Learning for
  Vision-Language Pre-trained Models
Parameter and Computation Efficient Transfer Learning for Vision-Language Pre-trained ModelsNeural Information Processing Systems (NeurIPS), 2023
Qiong Wu
Wei Yu
Weihao Ye
Shubin Huang
Xiaoshuai Sun
Rongrong Ji
VLM
191
10
0
04 Sep 2023
LoGoPrompt: Synthetic Text Images Can Be Good Visual Prompts for
  Vision-Language Models
LoGoPrompt: Synthetic Text Images Can Be Good Visual Prompts for Vision-Language ModelsIEEE International Conference on Computer Vision (ICCV), 2023
Cheng Shi
Sibei Yang
VLM
253
32
0
03 Sep 2023
A Fine-Grained Image Description Generation Method Based on Joint
  Objectives
A Fine-Grained Image Description Generation Method Based on Joint ObjectivesChinese Conference on Computer Supported Cooperative Work and Social Computing (SCWSC), 2023
Yifan Zhang
Chunzhen Lin
Donglin Cao
Dazhen Lin
EGVM
87
0
0
02 Sep 2023
FederatedScope-LLM: A Comprehensive Package for Fine-tuning Large
  Language Models in Federated Learning
FederatedScope-LLM: A Comprehensive Package for Fine-tuning Large Language Models in Federated LearningKnowledge Discovery and Data Mining (KDD), 2023
Weirui Kuang
Bingchen Qian
Zitao Li
Daoyuan Chen
Dawei Gao
Xuchen Pan
Yuexiang Xie
Yaliang Li
Bolin Ding
Jingren Zhou
FedML
244
191
0
01 Sep 2023
Quantifying and Analyzing Entity-level Memorization in Large Language
  Models
Quantifying and Analyzing Entity-level Memorization in Large Language ModelsAAAI Conference on Artificial Intelligence (AAAI), 2023
Zhenhong Zhou
Jiuyang Xiang
Chao-Yi Chen
Sen Su
PILM
163
20
0
30 Aug 2023
TransPrompt v2: A Transferable Prompting Framework for Cross-task Text
  Classification
TransPrompt v2: A Transferable Prompting Framework for Cross-task Text Classification
Jiadong Wang
Chengyu Wang
Cen Chen
Ming Gao
Yanjie Liang
Aoying Zhou
VLM
132
0
0
29 Aug 2023
Read-only Prompt Optimization for Vision-Language Few-shot Learning
Read-only Prompt Optimization for Vision-Language Few-shot LearningIEEE International Conference on Computer Vision (ICCV), 2023
Dongjun Lee
Seokwon Song
Jihee G. Suh
Joonmyeong Choi
S. Lee
Hyunwoo J.Kim
VLM
223
73
0
29 Aug 2023
Examining User-Friendly and Open-Sourced Large GPT Models: A Survey on
  Language, Multimodal, and Scientific GPT Models
Examining User-Friendly and Open-Sourced Large GPT Models: A Survey on Language, Multimodal, and Scientific GPT Models
Ran Bi
Su He
Zhenyu He
Jiacheng Lin
Qizhi Pei
Jie Shao
Wei Zhang
LM&MASyDa
138
14
0
27 Aug 2023
LMSanitator: Defending Prompt-Tuning Against Task-Agnostic Backdoors
LMSanitator: Defending Prompt-Tuning Against Task-Agnostic BackdoorsNetwork and Distributed System Security Symposium (NDSS), 2023
Chengkun Wei
Wenlong Meng
Zhikun Zhang
M. Chen
Ming-Hui Zhao
Wenjing Fang
Lei Wang
Zihui Zhang
Wenzhi Chen
AAML
141
14
0
26 Aug 2023
Rethinking Language Models as Symbolic Knowledge Graphs
Rethinking Language Models as Symbolic Knowledge Graphs
Vishwas Mruthyunjaya
Pouya Pezeshkpour
Estevam R. Hruschka
Nikita Bhutani
ELMALM
71
14
0
25 Aug 2023
Manipulating Embeddings of Stable Diffusion Prompts
Manipulating Embeddings of Stable Diffusion PromptsInternational Joint Conference on Artificial Intelligence (IJCAI), 2023
Niklas Deckers
Julia Peters
Martin Potthast
DiffM
272
12
0
23 Aug 2023
PREFER: Prompt Ensemble Learning via Feedback-Reflect-Refine
PREFER: Prompt Ensemble Learning via Feedback-Reflect-RefineAAAI Conference on Artificial Intelligence (AAAI), 2023
Chenrui Zhang
Lina Liu
Jinpeng Wang
Chuyuan Wang
Xiaodi Sun
Hongyu Wang
Mingchen Cai
LLMAG
195
38
0
23 Aug 2023
LLaMA-Reviewer: Advancing Code Review Automation with Large Language
  Models through Parameter-Efficient Fine-Tuning
LLaMA-Reviewer: Advancing Code Review Automation with Large Language Models through Parameter-Efficient Fine-TuningIEEE International Symposium on Software Reliability Engineering (ISSRE), 2023
Jun Lu
Lei Yu
Xiaojia Li
Li Yang
Chun Zuo
ALM
219
99
0
22 Aug 2023
When Prompt-based Incremental Learning Does Not Meet Strong Pretraining
When Prompt-based Incremental Learning Does Not Meet Strong PretrainingIEEE International Conference on Computer Vision (ICCV), 2023
Yuyao Tang
Yifan Peng
Weiwen Zheng
CLLVLM
237
42
0
21 Aug 2023
Towards Large-scale 3D Representation Learning with Multi-dataset Point
  Prompt Training
Towards Large-scale 3D Representation Learning with Multi-dataset Point Prompt TrainingComputer Vision and Pattern Recognition (CVPR), 2023
Xiaoyang Wu
Zhuotao Tian
Xin Wen
Bohao Peng
Xihui Liu
Kaicheng Yu
Hengshuang Zhao
153
73
0
18 Aug 2023
Open-vocabulary Video Question Answering: A New Benchmark for Evaluating
  the Generalizability of Video Question Answering Models
Open-vocabulary Video Question Answering: A New Benchmark for Evaluating the Generalizability of Video Question Answering ModelsIEEE International Conference on Computer Vision (ICCV), 2023
Dohwan Ko
Ji Soo Lee
M. Choi
Jaewon Chu
Jihwan Park
Hyunwoo J. Kim
127
6
0
18 Aug 2023
Chinese Spelling Correction as Rephrasing Language Model
Chinese Spelling Correction as Rephrasing Language ModelAAAI Conference on Artificial Intelligence (AAAI), 2023
Linfeng Liu
Hongqiu Wu
Hai Zhao
LRM
269
26
0
17 Aug 2023
Discrete Prompt Compression with Reinforcement Learning
Discrete Prompt Compression with Reinforcement LearningIEEE Access (IEEE Access), 2023
Hoyoun Jung
Kyung-Joong Kim
223
37
0
17 Aug 2023
Tem-adapter: Adapting Image-Text Pretraining for Video Question Answer
Tem-adapter: Adapting Image-Text Pretraining for Video Question AnswerIEEE International Conference on Computer Vision (ICCV), 2023
Guangyi Chen
Xiao Liu
Guangrun Wang
Kun Zhang
Philip H.S.Torr
Xiaoping Zhang
Yansong Tang
207
27
0
16 Aug 2023
Challenges and Opportunities of Using Transformer-Based Multi-Task
  Learning in NLP Through ML Lifecycle: A Survey
Challenges and Opportunities of Using Transformer-Based Multi-Task Learning in NLP Through ML Lifecycle: A Survey
Lovre Torbarina
Tin Ferkovic
Lukasz Roguski
Velimir Mihelčić
Bruno Šarlija
Z. Kraljevic
175
6
0
16 Aug 2023
Self-Deception: Reverse Penetrating the Semantic Firewall of Large Language Models
Zhenhua Wang
Wei Xie
Kai Chen
Baosheng Wang
Zhiwen Gui
Enze Wang
AAMLSILM
198
7
0
16 Aug 2023
DiffV2S: Diffusion-based Video-to-Speech Synthesis with Vision-guided
  Speaker Embedding
DiffV2S: Diffusion-based Video-to-Speech Synthesis with Vision-guided Speaker EmbeddingIEEE International Conference on Computer Vision (ICCV), 2023
J. Choi
Joanna Hong
Y. Ro
DiffM
159
31
0
15 Aug 2023
Improving Zero-Shot Text Matching for Financial Auditing with Large
  Language Models
Improving Zero-Shot Text Matching for Financial Auditing with Large Language ModelsACM Symposium on Document Engineering (DocEng), 2023
L. Hillebrand
Armin Berger
Tobias Deuβer
Tim Dilmaghani
Mohamed Khaled
...
Rüdiger Loitz
Maren Pielka
David Leonhard
Christian Bauckhage
R. Sifa
225
16
0
11 Aug 2023
FoodSAM: Any Food Segmentation
FoodSAM: Any Food SegmentationIEEE transactions on multimedia (IEEE TMM), 2023
Xing Lan
Jiayi Lyu
Han Jiang
Kunkun Dong
Zehai Niu
Yi Zhang
Jian Xue
VLM
212
38
0
11 Aug 2023
Storyfier: Exploring Vocabulary Learning Support with Text Generation
  Models
Storyfier: Exploring Vocabulary Learning Support with Text Generation ModelsACM Symposium on User Interface Software and Technology (UIST), 2023
Zhenhui Peng
Xingbo Wang
Qiushi Han
Junkai Zhu
Xiaojuan Ma
Huamin Qu
227
28
0
07 Aug 2023
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