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Black-Box Tuning for Language-Model-as-a-Service

Black-Box Tuning for Language-Model-as-a-Service

10 January 2022
Tianxiang Sun
Yunfan Shao
Hong Qian
Xuanjing Huang
Xipeng Qiu
    VLM
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Papers citing "Black-Box Tuning for Language-Model-as-a-Service"

50 / 204 papers shown
Title
When Gradient Descent Meets Derivative-Free Optimization: A Match Made
  in Black-Box Scenario
When Gradient Descent Meets Derivative-Free Optimization: A Match Made in Black-Box Scenario
Chengcheng Han
Liqing Cui
Renyu Zhu
J. Wang
Nuo Chen
Qiushi Sun
Xiang Li
Ming Gao
18
7
0
17 May 2023
Prompt-Tuning Decision Transformer with Preference Ranking
Prompt-Tuning Decision Transformer with Preference Ranking
Shengchao Hu
Li Shen
Ya-Qin Zhang
Dacheng Tao
OffRL
18
14
0
16 May 2023
Make Prompt-based Black-Box Tuning Colorful: Boosting Model
  Generalization from Three Orthogonal Perspectives
Make Prompt-based Black-Box Tuning Colorful: Boosting Model Generalization from Three Orthogonal Perspectives
Qiushi Sun
Chengcheng Han
Nuo Chen
Renyu Zhu
Jing Gong
Xiang Li
Ming Gao
VLM
17
5
0
14 May 2023
How Good are Commercial Large Language Models on African Languages?
How Good are Commercial Large Language Models on African Languages?
Jessica Ojo
Kelechi Ogueji
16
5
0
11 May 2023
CodeIE: Large Code Generation Models are Better Few-Shot Information
  Extractors
CodeIE: Large Code Generation Models are Better Few-Shot Information Extractors
Peng Li
Tianxiang Sun
Qiong Tang
Hang Yan
Yuanbin Wu
Xuanjing Huang
Technology
SyDa
6
67
0
09 May 2023
Adapt and Align to Improve Zero-Shot Sketch-Based Image Retrieval
Adapt and Align to Improve Zero-Shot Sketch-Based Image Retrieval
Shiyin Dong
Mingrui Zhu
N. Wang
Xinbo Gao
VLM
14
3
0
09 May 2023
HiFi: High-Information Attention Heads Hold for Parameter-Efficient
  Model Adaptation
HiFi: High-Information Attention Heads Hold for Parameter-Efficient Model Adaptation
Anchun Gui
Han Xiao
14
4
0
08 May 2023
Plan-and-Solve Prompting: Improving Zero-Shot Chain-of-Thought Reasoning
  by Large Language Models
Plan-and-Solve Prompting: Improving Zero-Shot Chain-of-Thought Reasoning by Large Language Models
Lei Wang
Wanyu Xu
Yihuai Lan
Zhiqiang Hu
Yunshi Lan
Roy Ka-Wei Lee
Ee-Peng Lim
ReLM
LRM
15
308
0
06 May 2023
Black-box Prompt Tuning with Subspace Learning
Black-box Prompt Tuning with Subspace Learning
Yuanhang Zheng
Zhixing Tan
Peng Li
Yang Liu
VLM
43
9
0
04 May 2023
How to Unleash the Power of Large Language Models for Few-shot Relation
  Extraction?
How to Unleash the Power of Large Language Models for Few-shot Relation Extraction?
Xin Xu
Yuqi Zhu
Xiaohan Wang
Ningyu Zhang
KELM
LRM
43
45
0
02 May 2023
Reliable Gradient-free and Likelihood-free Prompt Tuning
Reliable Gradient-free and Likelihood-free Prompt Tuning
Maohao Shen
S. Ghosh
P. Sattigeri
Subhro Das
Yuheng Bu
G. Wornell
VLM
44
10
0
30 Apr 2023
OpenBox: A Python Toolkit for Generalized Black-box Optimization
OpenBox: A Python Toolkit for Generalized Black-box Optimization
Huaijun Jiang
Yu Shen
Yang Li
Beicheng Xu
Sixian Du
Wentao Zhang
Ce Zhang
Bin Cui
13
4
0
26 Apr 2023
The Dark Side of ChatGPT: Legal and Ethical Challenges from Stochastic
  Parrots and Hallucination
The Dark Side of ChatGPT: Legal and Ethical Challenges from Stochastic Parrots and Hallucination
Z. Li
AILaw
SILM
39
34
0
21 Apr 2023
Gradient-Free Textual Inversion
Gradient-Free Textual Inversion
Zhengcong Fei
Mingyuan Fan
Junshi Huang
DiffM
13
31
0
12 Apr 2023
BlackVIP: Black-Box Visual Prompting for Robust Transfer Learning
BlackVIP: Black-Box Visual Prompting for Robust Transfer Learning
Changdae Oh
Hyeji Hwang
Hee-young Lee
Yongtaek Lim
Geunyoung Jung
Jiyoung Jung
Hosik Choi
Kyungwoo Song
VLM
VPVLM
72
54
0
26 Mar 2023
The Life Cycle of Knowledge in Big Language Models: A Survey
The Life Cycle of Knowledge in Big Language Models: A Survey
Boxi Cao
Hongyu Lin
Xianpei Han
Le Sun
KELM
26
22
0
14 Mar 2023
Bootstrap The Original Latent: Learning a Private Model from a Black-box
  Model
Bootstrap The Original Latent: Learning a Private Model from a Black-box Model
Shuai Wang
Daoan Zhang
Jiang Zhang
Weiwei Zhang
Ruizhen Li
FedML
15
0
0
07 Mar 2023
Automatic Prompt Augmentation and Selection with Chain-of-Thought from
  Labeled Data
Automatic Prompt Augmentation and Selection with Chain-of-Thought from Labeled Data
Kashun Shum
Shizhe Diao
Tong Zhang
ReLM
LRM
19
128
0
24 Feb 2023
Guiding Large Language Models via Directional Stimulus Prompting
Guiding Large Language Models via Directional Stimulus Prompting
Zekun Li
Baolin Peng
Pengcheng He
Michel Galley
Jianfeng Gao
Xi Yan
LLMAG
LRM
LM&Ro
21
91
0
22 Feb 2023
Explanation Selection Using Unlabeled Data for Chain-of-Thought
  Prompting
Explanation Selection Using Unlabeled Data for Chain-of-Thought Prompting
Xi Ye
Greg Durrett
LRM
ReLM
10
10
0
09 Feb 2023
A Survey on In-context Learning
A Survey on In-context Learning
Qingxiu Dong
Lei Li
Damai Dai
Ce Zheng
Jingyuan Ma
...
Zhiyong Wu
Baobao Chang
Xu Sun
Lei Li
Zhifang Sui
ReLM
AIMat
20
443
0
31 Dec 2022
Language Modeling with Latent Situations
Language Modeling with Latent Situations
Belinda Z. Li
Maxwell Nye
Jacob Andreas
LRM
6
7
0
20 Dec 2022
PromptBoosting: Black-Box Text Classification with Ten Forward Passes
PromptBoosting: Black-Box Text Classification with Ten Forward Passes
Bairu Hou
J. O'Connor
Jacob Andreas
Shiyu Chang
Yang Zhang
VLM
19
43
0
19 Dec 2022
Decoder Tuning: Efficient Language Understanding as Decoding
Decoder Tuning: Efficient Language Understanding as Decoding
Ganqu Cui
Wentao Li
Ning Ding
Longtao Huang
Zhiyuan Liu
Maosong Sun
19
6
0
16 Dec 2022
Technical Report -- Competition Solution for Prompt Tuning using
  Pretrained Language Model
Technical Report -- Competition Solution for Prompt Tuning using Pretrained Language Model
Jiang-Long Song
Wuhe Zou
Feng Li
Xiaolei Qin
Weidong Zhang
16
0
0
13 Dec 2022
PyPop7: A Pure-Python Library for Population-Based Black-Box
  Optimization
PyPop7: A Pure-Python Library for Population-Based Black-Box Optimization
Qiqi Duan
Guochen Zhou
Chang Shao
Zhuowei Wang
Mingyang Feng
Yuwei Huang
Yajing Tan
Yijun Yang
Qi Zhao
Yuhui Shi
21
5
0
12 Dec 2022
DiffusionBERT: Improving Generative Masked Language Models with
  Diffusion Models
DiffusionBERT: Improving Generative Masked Language Models with Diffusion Models
Zhengfu He
Tianxiang Sun
Kuan-Chieh Jackson Wang
Xuanjing Huang
Xipeng Qiu
DiffM
VLM
6
112
0
28 Nov 2022
TEMPERA: Test-Time Prompting via Reinforcement Learning
TEMPERA: Test-Time Prompting via Reinforcement Learning
Tianjun Zhang
Xuezhi Wang
Denny Zhou
Dale Schuurmans
Joseph E. Gonzalez
VLM
12
35
0
21 Nov 2022
GPS: Genetic Prompt Search for Efficient Few-shot Learning
GPS: Genetic Prompt Search for Efficient Few-shot Learning
Hanwei Xu
Yujun Chen
Yulun Du
Nan Shao
Yanggang Wang
Haiyu Li
Zhilin Yang
VLM
14
22
0
31 Oct 2022
Clip-Tuning: Towards Derivative-free Prompt Learning with a Mixture of
  Rewards
Clip-Tuning: Towards Derivative-free Prompt Learning with a Mixture of Rewards
Yekun Chai
Shuohuan Wang
Yu Sun
Hao Tian
Hua-Hong Wu
Haifeng Wang
VLM
11
17
0
21 Oct 2022
Late Prompt Tuning: A Late Prompt Could Be Better Than Many Prompts
Late Prompt Tuning: A Late Prompt Could Be Better Than Many Prompts
Xiangyang Liu
Tianxiang Sun
Xuanjing Huang
Xipeng Qiu
VLM
15
27
0
20 Oct 2022
Multitask Pre-training of Modular Prompt for Chinese Few-Shot Learning
Multitask Pre-training of Modular Prompt for Chinese Few-Shot Learning
Tianxiang Sun
Zhengfu He
Qinen Zhu
Xipeng Qiu
Xuanjing Huang
VLM
VPVLM
4
20
0
14 Oct 2022
DyLoRA: Parameter Efficient Tuning of Pre-trained Models using Dynamic
  Search-Free Low-Rank Adaptation
DyLoRA: Parameter Efficient Tuning of Pre-trained Models using Dynamic Search-Free Low-Rank Adaptation
Mojtaba Valipour
Mehdi Rezagholizadeh
I. Kobyzev
A. Ghodsi
12
156
0
14 Oct 2022
Transformers generalize differently from information stored in context
  vs in weights
Transformers generalize differently from information stored in context vs in weights
Stephanie C. Y. Chan
Ishita Dasgupta
Junkyung Kim
D. Kumaran
Andrew Kyle Lampinen
Felix Hill
95
45
0
11 Oct 2022
Prompt Tuning for Generative Multimodal Pretrained Models
Prompt Tuning for Generative Multimodal Pretrained Models
Han Yang
Junyang Lin
An Yang
Peng Wang
Chang Zhou
Hongxia Yang
VLM
LRM
VPVLM
27
30
0
04 Aug 2022
Probing Semantic Grounding in Language Models of Code with
  Representational Similarity Analysis
Probing Semantic Grounding in Language Models of Code with Representational Similarity Analysis
Shounak Naik
Rajaswa Patil
Swati Agarwal
V. Baths
17
3
0
15 Jul 2022
RLPrompt: Optimizing Discrete Text Prompts with Reinforcement Learning
RLPrompt: Optimizing Discrete Text Prompts with Reinforcement Learning
Mingkai Deng
Jianyu Wang
Cheng-Ping Hsieh
Yihan Wang
Han Guo
Tianmin Shu
Meng Song
Eric P. Xing
Zhiting Hu
8
315
0
25 May 2022
BBTv2: Towards a Gradient-Free Future with Large Language Models
BBTv2: Towards a Gradient-Free Future with Large Language Models
Tianxiang Sun
Zhengfu He
Hong Qian
Yunhua Zhou
Xuanjing Huang
Xipeng Qiu
94
53
0
23 May 2022
Parameter-Efficient Tuning by Manipulating Hidden States of Pretrained
  Language Models For Classification Tasks
Parameter-Efficient Tuning by Manipulating Hidden States of Pretrained Language Models For Classification Tasks
Haoran Yang
Piji Li
Wai Lam
15
2
0
10 Apr 2022
GrIPS: Gradient-free, Edit-based Instruction Search for Prompting Large
  Language Models
GrIPS: Gradient-free, Edit-based Instruction Search for Prompting Large Language Models
Archiki Prasad
Peter Hase
Xiang Zhou
Mohit Bansal
10
117
0
14 Mar 2022
Delta Tuning: A Comprehensive Study of Parameter Efficient Methods for
  Pre-trained Language Models
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
8
196
0
14 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
VLM
AAML
26
39
0
07 Mar 2022
$\mathcal{Y}$-Tuning: An Efficient Tuning Paradigm for Large-Scale
  Pre-Trained Models via Label Representation Learning
Y\mathcal{Y}Y-Tuning: An Efficient Tuning Paradigm for Large-Scale Pre-Trained Models via Label Representation Learning
Yitao Liu
Chen An
Xipeng Qiu
19
13
0
20 Feb 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
VLM
AAML
22
68
0
21 Jan 2022
P-Tuning v2: Prompt Tuning Can Be Comparable to Fine-tuning Universally
  Across Scales and Tasks
P-Tuning v2: Prompt Tuning Can Be Comparable to Fine-tuning Universally Across Scales and Tasks
Xiao Liu
Kaixuan Ji
Yicheng Fu
Weng Lam Tam
Zhengxiao Du
Zhilin Yang
Jie Tang
VLM
236
780
0
14 Oct 2021
CLIP-Adapter: Better Vision-Language Models with Feature Adapters
CLIP-Adapter: Better Vision-Language Models with Feature Adapters
Peng Gao
Shijie Geng
Renrui Zhang
Teli Ma
Rongyao Fang
Yongfeng Zhang
Hongsheng Li
Yu Qiao
VLM
CLIP
18
963
0
09 Oct 2021
Paradigm Shift in Natural Language Processing
Paradigm Shift in Natural Language Processing
Tianxiang Sun
Xiangyang Liu
Xipeng Qiu
Xuanjing Huang
109
71
0
26 Sep 2021
The Power of Scale for Parameter-Efficient Prompt Tuning
The Power of Scale for Parameter-Efficient Prompt Tuning
Brian Lester
Rami Al-Rfou
Noah Constant
VPVLM
278
3,784
0
18 Apr 2021
WARP: Word-level Adversarial ReProgramming
WARP: Word-level Adversarial ReProgramming
Karen Hambardzumyan
Hrant Khachatrian
Jonathan May
AAML
248
340
0
01 Jan 2021
Making Pre-trained Language Models Better Few-shot Learners
Making Pre-trained Language Models Better Few-shot Learners
Tianyu Gao
Adam Fisch
Danqi Chen
241
1,898
0
31 Dec 2020
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