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2205.12548
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RLPrompt: Optimizing Discrete Text Prompts with Reinforcement Learning
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2022
25 May 2022
Mingkai Deng
Jianyu Wang
Cheng-Ping Hsieh
Yihan Wang
Han Guo
Tianmin Shu
Meng Song
Eric Xing
Zhiting Hu
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Papers citing
"RLPrompt: Optimizing Discrete Text Prompts with Reinforcement Learning"
25 / 275 papers shown
Prompting AI Art: An Investigation into the Creative Skill of Prompt Engineering
International journal of human computer interactions (IJHCI), 2023
J. Oppenlaender
Rhema Linder
Johanna M. Silvennoinen
290
149
0
13 Mar 2023
Guiding Large Language Models via Directional Stimulus Prompting
Neural Information Processing Systems (NeurIPS), 2023
Zekun Li
Baolin Peng
Pengcheng He
Michel Galley
Jianfeng Gao
Xi Yan
LLMAG
LRM
LM&Ro
455
132
0
22 Feb 2023
Complex QA and language models hybrid architectures, Survey
Xavier Daull
P. Bellot
Emmanuel Bruno
Vincent Martin
Elisabeth Murisasco
ELM
685
17
0
17 Feb 2023
Evaluating the Robustness of Discrete Prompts
Conference of the European Chapter of the Association for Computational Linguistics (EACL), 2023
Yoichi Ishibashi
Danushka Bollegala
Katsuhito Sudoh
Satoshi Nakamura
141
20
0
11 Feb 2023
The Wisdom of Hindsight Makes Language Models Better Instruction Followers
International Conference on Machine Learning (ICML), 2023
Tianjun Zhang
Fangchen Liu
Justin Wong
Pieter Abbeel
Joseph E. Gonzalez
216
58
0
10 Feb 2023
Explanation Selection Using Unlabeled Data for Chain-of-Thought Prompting
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Xi Ye
Greg Durrett
LRM
ReLM
232
14
0
09 Feb 2023
Hard Prompts Made Easy: Gradient-Based Discrete Optimization for Prompt Tuning and Discovery
Neural Information Processing Systems (NeurIPS), 2023
Yuxin Wen
Neel Jain
John Kirchenbauer
Micah Goldblum
Jonas Geiping
Tom Goldstein
VLM
DiffM
336
360
1
07 Feb 2023
Multimodality Helps Unimodality: Cross-Modal Few-Shot Learning with Multimodal Models
Computer Vision and Pattern Recognition (CVPR), 2023
Zhiqiu Lin
Samuel Yu
Zhiyi Kuang
Deepak Pathak
Deva Ramana
VLM
463
153
0
16 Jan 2023
Parameter-Efficient Fine-Tuning Design Spaces
International Conference on Learning Representations (ICLR), 2023
Jiaao Chen
Aston Zhang
Xingjian Shi
Mu Li
Alexander J. Smola
Diyi Yang
280
77
0
04 Jan 2023
Toward Human Readable Prompt Tuning: Kubrick's The Shining is a good movie, and a good prompt too?
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Weijia Shi
Xiaochuang Han
Hila Gonen
Ari Holtzman
Yulia Tsvetkov
Luke Zettlemoyer
216
56
0
20 Dec 2022
Self-Adaptive In-Context Learning: An Information Compression Perspective for In-Context Example Selection and Ordering
Annual Meeting of the Association for Computational Linguistics (ACL), 2022
Zhiyong Wu
Yaoxiang Wang
Jiacheng Ye
Lingpeng Kong
288
188
0
20 Dec 2022
PromptBoosting: Black-Box Text Classification with Ten Forward Passes
International Conference on Machine Learning (ICML), 2022
Bairu Hou
J. O'Connor
Jacob Andreas
Shiyu Chang
Yang Zhang
VLM
217
51
0
19 Dec 2022
Decoder Tuning: Efficient Language Understanding as Decoding
Annual Meeting of the Association for Computational Linguistics (ACL), 2022
Ganqu Cui
Wentao Li
Ning Ding
Longtao Huang
Zhiyuan Liu
Maosong Sun
203
7
0
16 Dec 2022
Demystifying Prompts in Language Models via Perplexity Estimation
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Hila Gonen
Srini Iyer
Terra Blevins
Noah A. Smith
Luke Zettlemoyer
LRM
384
276
0
08 Dec 2022
T-STAR: Truthful Style Transfer using AMR Graph as Intermediate Representation
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Anubhav Jangra
Preksha Nema
A. Raghuveer
165
8
0
03 Dec 2022
Designing Ecosystems of Intelligence from First Principles
Collective Intelligence (CI), 2022
Karl J. Friston
M. Ramstead
Alex B. Kiefer
Alexander Tschantz
Christopher L. Buckley
...
K. Fung
Jason G. Fox
Steven Swanson
D. Mapes
Gabriel René
296
47
0
02 Dec 2022
TEMPERA: Test-Time Prompting via Reinforcement Learning
International Conference on Learning Representations (ICLR), 2022
Tianjun Zhang
Xuezhi Wang
Denny Zhou
Dale Schuurmans
Joseph E. Gonzalez
VLM
124
45
0
21 Nov 2022
Zero-Label Prompt Selection
Chonghua Liao
Yanan Zheng
Zhilin Yang
VLM
140
8
0
09 Nov 2022
Rainier: Reinforced Knowledge Introspector for Commonsense Question Answering
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Hamish Ivison
Skyler Hallinan
Ximing Lu
Pengfei He
Sean Welleck
Hannaneh Hajishirzi
Yejin Choi
RALM
247
63
0
06 Oct 2022
Explaining Patterns in Data with Language Models via Interpretable Autoprompting
Chandan Singh
John X. Morris
J. Aneja
Alexander M. Rush
Jianfeng Gao
LRM
179
0
0
04 Oct 2022
PromptFL: Let Federated Participants Cooperatively Learn Prompts Instead of Models -- Federated Learning in Age of Foundation Model
IEEE Transactions on Mobile Computing (IEEE TMC), 2022
Tao Guo
Song Guo
Junxiao Wang
Wenchao Xu
FedML
VLM
LRM
197
189
0
24 Aug 2022
BBTv2: Towards a Gradient-Free Future with Large Language Models
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Tianxiang Sun
Zhengfu He
Hong Qian
Yunhua Zhou
Xuanjing Huang
Xipeng Qiu
279
71
0
23 May 2022
Black-box Prompt Learning for Pre-trained Language Models
Shizhe Diao
Zhichao Huang
Ruijia Xu
Xuechun Li
Yong Lin
Xiao Zhou
Tong Zhang
VLM
AAML
290
83
0
21 Jan 2022
Toward a `Standard Model' of Machine Learning
Zhiting Hu
Eric Xing
288
15
0
17 Aug 2021
Efficient (Soft) Q-Learning for Text Generation with Limited Good Data
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2021
Han Guo
Bowen Tan
Zhengzhong Liu
Eric P. Xing
Zhiting Hu
OffRL
239
40
0
14 Jun 2021
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