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Black-box Prompt Learning for Pre-trained Language Models
21 January 2022
Shizhe Diao
Zhichao Huang
Ruijia Xu
Xuechun Li
Yong Lin
Xiao Zhou
Tong Zhang
VLM
AAML
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Papers citing
"Black-box Prompt Learning for Pre-trained Language Models"
41 / 41 papers shown
Position: Federated Foundation Language Model Post-Training Should Focus on Open-Source Models
Nikita Agrawal
Simon Mertel
R. Mayer
431
0
0
24 Dec 2025
Towards Improving Interpretability of Language Model Generation through a Structured Knowledge Discovery Approach
IEEE Journal on Selected Topics in Signal Processing (JSTSP), 2025
Shuqi Liu
Han Wu
Guanzhi Deng
Jianshu Chen
Xiaoyang Wang
Linqi Song
138
0
0
28 Nov 2025
FedPOB: Sample-Efficient Federated Prompt Optimization via Bandits
Pingchen Lu
Zhi Hong
Zhiwei Shang
Zhiyong Wang
Yikun Ban
Yao Shu
Min Zhang
Shuang Qiu
Zhongxiang Dai
FedML
238
1
0
29 Sep 2025
PromptSculptor: Multi-Agent Based Text-to-Image Prompt Optimization
Dawei Xiang
Wenyan Xu
Kexin Chu
Zixu Shen
Tianqi Ding
Yiming Zeng
Jianchang Su
Wei Zhang
LLMAG
232
22
0
15 Sep 2025
On the Evolution of Federated Post-Training Large Language Models: A Model Accessibility View
Tao Guo
Junxiao Wang
Fushuo Huo
Laizhong Cui
Song Guo
Jie Gui
Dacheng Tao
127
0
0
22 Aug 2025
FedOne: Query-Efficient Federated Learning for Black-box Discrete Prompt Learning
Ganyu Wang
Jinjie Fang
Maxwell J. Ying
Bin Gu
Xi Chen
Boyu Wang
Yi Chang
Charles Ling
FedML
358
1
0
17 Jun 2025
Daunce: Data Attribution through Uncertainty Estimation
Xingyuan Pan
Chenlu Ye
Joseph Melkonian
Jiaqi W. Ma
Tong Zhang
TDI
UQCV
217
2
0
29 May 2025
Matryoshka Pilot: Learning to Drive Black-Box LLMs with LLMs
Changhao Li
Yuchen Zhuang
Rushi Qiang
Haotian Sun
H. Dai
Chao Zhang
Bo Dai
LRM
399
6
0
28 Oct 2024
FLOPS: Forward Learning with OPtimal Sampling
International Conference on Learning Representations (ICLR), 2024
Tao Ren
Zishi Zhang
Jinyang Jiang
Guanghao Li
Zeliang Zhang
Mingqian Feng
Yijie Peng
574
2
0
08 Oct 2024
CPT: Consistent Proxy Tuning for Black-box Optimization
Yuanyang He
Zitong Huang
Xinxing Xu
Rick Siow Mong Goh
Salman Khan
W. Zuo
Yong Liu
Chun-Mei Feng
355
1
0
01 Jul 2024
LLM2TEA: An Agentic AI Designer for Discovery with Generative Evolutionary Multitasking
Melvin Wong
Jiao Liu
Thiago Rios
Stefan Menzel
Yew-Soon Ong
461
2
0
21 Jun 2024
Multi-Prompting Decoder Helps Better Language Understanding
Annual Meeting of the Association for Computational Linguistics (ACL), 2024
Zifeng Cheng
Zhaoling Chen
Zhiwei Jiang
Yafeng Yin
Shiping Ge
Shiwei Gan
Qing Gu
AI4CE
279
2
0
10 Jun 2024
Prompt Optimization with Human Feedback
Xiaoqiang Lin
Zhongxiang Dai
Arun Verma
See-Kiong Ng
Patrick Jaillet
K. H. Low
AAML
277
36
0
27 May 2024
AdvPrompter: Fast Adaptive Adversarial Prompting for LLMs
Anselm Paulus
Arman Zharmagambetov
Chuan Guo
Brandon Amos
Yuandong Tian
AAML
421
145
0
21 Apr 2024
Localized Zeroth-Order Prompt Optimization
Wenyang Hu
Yao Shu
Zongmin Yu
Zhaoxuan Wu
Xiangqiang Lin
Zhongxiang Dai
See-Kiong Ng
Bryan Kian Hsiang Low
262
23
0
05 Mar 2024
SEE: Strategic Exploration and Exploitation for Cohesive In-Context Prompt Optimization
Wendi Cui
Jiaxin Zhang
Zhuohang Li
Damien Lopez
Damien Lopez
Kamalika Das
Sricharan Kumar
Kumar Sricharan
442
7
0
17 Feb 2024
Advancing Legal Reasoning: The Integration of AI to Navigate Complexities and Biases in Global Jurisprudence with Semi-Automated Arbitration Processes (SAAPs)
Michael De'Shazer
219
3
0
06 Feb 2024
BadChain: Backdoor Chain-of-Thought Prompting for Large Language Models
International Conference on Learning Representations (ICLR), 2024
Zhen Xiang
Fengqing Jiang
Zidi Xiong
Bhaskar Ramasubramanian
Radha Poovendran
Bo Li
LRM
SILM
359
90
0
20 Jan 2024
A Bayesian approach for prompt optimization in pre-trained language models
Antonio Sabbatella
Andrea Ponti
Antonio Candelieri
I. Giordani
Francesco Archetti
304
4
0
01 Dec 2023
DeepZero: Scaling up Zeroth-Order Optimization for Deep Model Training
International Conference on Learning Representations (ICLR), 2023
Chenyi Zi
Yimeng Zhang
Jinghan Jia
James Diffenderfer
Jiancheng Liu
Konstantinos Parasyris
Yihua Zhang
Zheng Zhang
B. Kailkhura
Sijia Liu
741
83
0
03 Oct 2023
Batch Calibration: Rethinking Calibration for In-Context Learning and Prompt Engineering
International Conference on Learning Representations (ICLR), 2023
Han Zhou
Xingchen Wan
Lev Proleev
Diana Mincu
Jilin Chen
Katherine A. Heller
Subhrajit Roy
UQLM
424
89
0
29 Sep 2023
Unifying Large Language Models and Knowledge Graphs: A Roadmap
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2023
Shirui Pan
Linhao Luo
Yufei Wang
Chen Chen
Jiapu Wang
Xindong Wu
KELM
617
1,333
0
14 Jun 2023
CELDA: Leveraging Black-box Language Model as Enhanced Classifier without Labels
Annual Meeting of the Association for Computational Linguistics (ACL), 2023
Hyunsoo Cho
Youna Kim
Sang-goo Lee
210
4
0
05 Jun 2023
Preference-grounded Token-level Guidance for Language Model Fine-tuning
Neural Information Processing Systems (NeurIPS), 2023
Shentao Yang
Shujian Zhang
Congying Xia
Yihao Feng
Caiming Xiong
Mi Zhou
561
33
0
01 Jun 2023
Fine-Tuning Language Models with Just Forward Passes
Neural Information Processing Systems (NeurIPS), 2023
Sadhika Malladi
Tianyu Gao
Eshaan Nichani
Alexandru Damian
Jason D. Lee
Danqi Chen
Sanjeev Arora
693
361
0
27 May 2023
Prompt-Tuning Decision Transformer with Preference Ranking
Shengchao Hu
Li Shen
Ya Zhang
Dacheng Tao
OffRL
235
19
0
16 May 2023
Automatic Prompt Augmentation and Selection with Chain-of-Thought from Labeled Data
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Kashun Shum
Shizhe Diao
Tong Zhang
ReLM
LRM
541
193
0
24 Feb 2023
Active Prompting with Chain-of-Thought for Large Language Models
Annual Meeting of the Association for Computational Linguistics (ACL), 2023
Shizhe Diao
Pengcheng Wang
Yong Lin
Tong Zhang
ReLM
KELM
LLMAG
LRM
595
208
0
23 Feb 2023
Hashtag-Guided Low-Resource Tweet Classification
The Web Conference (WWW), 2023
Shizhe Diao
Sedrick Scott Keh
Liangming Pan
Zhiliang Tian
Yan Song
Tong Zhang
VLM
AI4TS
207
8
0
20 Feb 2023
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
275
55
0
19 Dec 2022
Technical Report -- Competition Solution for Prompt Tuning using Pretrained Language Model
Jiang-Long Song
Wuhe Zou
Feng Li
Xiaolei Qin
Weidong Zhang
296
0
0
13 Dec 2022
Clip-Tuning: Towards Derivative-free Prompt Learning with a Mixture of Rewards
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Yekun Chai
Shuohuan Wang
Yu Sun
Hao Tian
Hua Wu
Haifeng Wang
VLM
286
19
0
21 Oct 2022
Multitask Pre-training of Modular Prompt for Chinese Few-Shot Learning
Annual Meeting of the Association for Computational Linguistics (ACL), 2022
Tianxiang Sun
Zhengfu He
Qinen Zhu
Xipeng Qiu
Xuanjing Huang
VLM
VPVLM
274
24
0
14 Oct 2022
Fairness Reprogramming
Neural Information Processing Systems (NeurIPS), 2022
Guanhua Zhang
Yihua Zhang
Yang Zhang
Wenqi Fan
Qing Li
Sijia Liu
Shiyu Chang
AAML
761
43
0
21 Sep 2022
RLPrompt: Optimizing Discrete Text Prompts with Reinforcement Learning
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Mingkai Deng
Jianyu Wang
Cheng-Ping Hsieh
Yihan Wang
Han Guo
Tianmin Shu
Meng Song
Eric Xing
Zhiting Hu
500
461
0
25 May 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
320
74
0
23 May 2022
Few-Shot Parameter-Efficient Fine-Tuning is Better and Cheaper than In-Context Learning
Neural Information Processing Systems (NeurIPS), 2022
Haokun Liu
Derek Tam
Mohammed Muqeeth
Jay Mohta
Tenghao Huang
Joey Tianyi Zhou
Colin Raffel
517
1,265
0
11 May 2022
Delta Tuning: A Comprehensive Study of Parameter Efficient Methods for Pre-trained Language Models
Ning Ding
Yujia Qin
Guang Yang
Fu Wei
Zonghan Yang
...
Jianfei Chen
Yang Liu
Jie Tang
Juan Li
Maosong Sun
449
231
0
14 Mar 2022
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
VLM
AAML
322
47
0
07 Mar 2022
The Language Interpretability Tool: Extensible, Interactive Visualizations and Analysis for NLP Models
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2020
Ian Tenney
James Wexler
Jasmijn Bastings
Tolga Bolukbasi
Andy Coenen
...
Ellen Jiang
Mahima Pushkarna
Carey Radebaugh
Emily Reif
Ann Yuan
VLM
435
213
0
12 Aug 2020
Thieves on Sesame Street! Model Extraction of BERT-based APIs
International Conference on Learning Representations (ICLR), 2019
Kalpesh Krishna
Gaurav Singh Tomar
Ankur P. Parikh
Nicolas Papernot
Mohit Iyyer
MIACV
MLAU
673
240
0
27 Oct 2019
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