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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

Papers citing "RLPrompt: Optimizing Discrete Text Prompts with Reinforcement Learning"

24 / 274 papers shown

Title
Guiding Large Language Models via Directional Stimulus PromptingNeural Information Processing Systems (NeurIPS), 2023 Zekun Li Baolin Peng Pengcheng He Michel Galley Jianfeng Gao Xi Yan LLMAG LRM LM&Ro 399 129 0 22 Feb 2023
Complex QA and language models hybrid architectures, Survey Xavier Daull P. Bellot Emmanuel Bruno Vincent Martin Elisabeth Murisasco ELM 623 17 0 17 Feb 2023
Evaluating the Robustness of Discrete PromptsConference of the European Chapter of the Association for Computational Linguistics (EACL), 2023 Yoichi Ishibashi Danushka Bollegala Katsuhito Sudoh Satoshi Nakamura 139 20 0 11 Feb 2023
The Wisdom of Hindsight Makes Language Models Better Instruction FollowersInternational Conference on Machine Learning (ICML), 2023 Tianjun Zhang Fangchen Liu Justin Wong Pieter Abbeel Joseph E. Gonzalez 192 58 0 10 Feb 2023
Explanation Selection Using Unlabeled Data for Chain-of-Thought PromptingConference on Empirical Methods in Natural Language Processing (EMNLP), 2023 Xi Ye Greg Durrett LRM ReLM 198 14 0 09 Feb 2023
Hard Prompts Made Easy: Gradient-Based Discrete Optimization for Prompt Tuning and DiscoveryNeural Information Processing Systems (NeurIPS), 2023 Yuxin Wen Neel Jain John Kirchenbauer Micah Goldblum Jonas Geiping Tom Goldstein VLM DiffM 325 356 1 07 Feb 2023
Multimodality Helps Unimodality: Cross-Modal Few-Shot Learning with Multimodal ModelsComputer Vision and Pattern Recognition (CVPR), 2023 Zhiqiu Lin Samuel Yu Zhiyi Kuang Deepak Pathak Deva Ramana VLM 431 150 0 16 Jan 2023
Parameter-Efficient Fine-Tuning Design SpacesInternational Conference on Learning Representations (ICLR), 2023 Jiaao Chen Aston Zhang Xingjian Shi Mu Li Alexander J. Smola Diyi Yang 254 76 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 189 56 0 20 Dec 2022
Self-Adaptive In-Context Learning: An Information Compression Perspective for In-Context Example Selection and OrderingAnnual Meeting of the Association for Computational Linguistics (ACL), 2022 Zhiyong Wu Yaoxiang Wang Jiacheng Ye Lingpeng Kong 264 183 0 20 Dec 2022
PromptBoosting: Black-Box Text Classification with Ten Forward PassesInternational Conference on Machine Learning (ICML), 2022 Bairu Hou J. O'Connor Jacob Andreas Shiyu Chang Yang Zhang VLM 196 51 0 19 Dec 2022
Decoder Tuning: Efficient Language Understanding as DecodingAnnual Meeting of the Association for Computational Linguistics (ACL), 2022 Ganqu Cui Wentao Li Ning Ding Longtao Huang Zhiyuan Liu Maosong Sun 197 7 0 16 Dec 2022
Demystifying Prompts in Language Models via Perplexity EstimationConference on Empirical Methods in Natural Language Processing (EMNLP), 2022 Hila Gonen Srini Iyer Terra Blevins Noah A. Smith Luke Zettlemoyer LRM 365 273 0 08 Dec 2022
T-STAR: Truthful Style Transfer using AMR Graph as Intermediate RepresentationConference on Empirical Methods in Natural Language Processing (EMNLP), 2022 Anubhav Jangra Preksha Nema A. Raghuveer 138 8 0 03 Dec 2022
Designing Ecosystems of Intelligence from First PrinciplesCollective 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 274 47 0 02 Dec 2022
TEMPERA: Test-Time Prompting via Reinforcement LearningInternational Conference on Learning Representations (ICLR), 2022 Tianjun Zhang Xuezhi Wang Denny Zhou Dale Schuurmans Joseph E. Gonzalez VLM 110 45 0 21 Nov 2022
Zero-Label Prompt Selection Chonghua Liao Yanan Zheng Zhilin Yang VLM 136 8 0 09 Nov 2022
Rainier: Reinforced Knowledge Introspector for Commonsense Question AnsweringConference on Empirical Methods in Natural Language Processing (EMNLP), 2022 Hamish Ivison Skyler Hallinan Ximing Lu Pengfei He Sean Welleck Hannaneh Hajishirzi Yejin Choi RALM 242 62 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 167 0 0 04 Oct 2022
PromptFL: Let Federated Participants Cooperatively Learn Prompts Instead of Models -- Federated Learning in Age of Foundation ModelIEEE Transactions on Mobile Computing (IEEE TMC), 2022 Tao Guo Song Guo Junxiao Wang Wenchao Xu FedML VLM LRM 176 182 0 24 Aug 2022
BBTv2: Towards a Gradient-Free Future with Large Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP), 2022 Tianxiang Sun Zhengfu He Hong Qian Yunhua Zhou Xuanjing Huang Xipeng Qiu 254 70 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 270 83 0 21 Jan 2022
Toward a `Standard Model' of Machine Learning Zhiting Hu Eric Xing 283 15 0 17 Aug 2021
Efficient (Soft) Q-Learning for Text Generation with Limited Good DataConference on Empirical Methods in Natural Language Processing (EMNLP), 2021 Han Guo Bowen Tan Zhengzhong Liu Eric P. Xing Zhiting Hu OffRL 204 40 0 14 Jun 2021