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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
Learn to Think: Bootstrapping LLM Reasoning Capability Through Graph Learning
Learn to Think: Bootstrapping LLM Reasoning Capability Through Graph Learning
Hang Gao
Chenhao Zhang
Tie Wang
Junsuo Zhao
Fengge Wu
Changwen Zheng
Huaping Liu
LRM
21
0
0
09 May 2025
In-Context Adaptation to Concept Drift for Learned Database Operations
In-Context Adaptation to Concept Drift for Learned Database Operations
Jiaqi Zhu
Shaofeng Cai
Yanyan Shen
Gang Chen
Fang Deng
Beng Chin Ooi
VLM
35
0
0
07 May 2025
Stochastic Subspace Descent Accelerated via Bi-fidelity Line Search
Stochastic Subspace Descent Accelerated via Bi-fidelity Line Search
Nuojin Cheng
Alireza Doostan
Stephen Becker
31
0
0
30 Apr 2025
E-InMeMo: Enhanced Prompting for Visual In-Context Learning
E-InMeMo: Enhanced Prompting for Visual In-Context Learning
Jiahao Zhang
Bowen Wang
Hong Liu
Liangzhi Li
Yuta Nakashima
Hajime Nagahara
VLM
99
0
0
25 Apr 2025
ZIP: An Efficient Zeroth-order Prompt Tuning for Black-box Vision-Language Models
ZIP: An Efficient Zeroth-order Prompt Tuning for Black-box Vision-Language Models
Seonghwan Park
Jaehyeon Jeong
Yongjun Kim
Jaeho Lee
Namhoon Lee
VLM
41
0
0
09 Apr 2025
DDPT: Diffusion-Driven Prompt Tuning for Large Language Model Code Generation
DDPT: Diffusion-Driven Prompt Tuning for Large Language Model Code Generation
Jinyang Li
Sangwon Hyun
Muhammad Ali Babar
16
0
0
06 Apr 2025
Prada: Black-Box LLM Adaptation with Private Data on Resource-Constrained Devices
Prada: Black-Box LLM Adaptation with Private Data on Resource-Constrained Devices
Z. Wang
Yexiao He
Zheyu Shen
Yu Li
Guoheng Sun
Myungjin Lee
Ang Li
48
0
0
19 Mar 2025
Theoretical Foundation of Flow-Based Time Series Generation: Provable Approximation, Generalization, and Efficiency
Theoretical Foundation of Flow-Based Time Series Generation: Provable Approximation, Generalization, and Efficiency
Jiangxuan Long
Zhao-quan Song
Chiwun Yang
AI4TS
65
0
0
18 Mar 2025
ZO2: Scalable Zeroth-Order Fine-Tuning for Extremely Large Language Models with Limited GPU Memory
ZO2: Scalable Zeroth-Order Fine-Tuning for Extremely Large Language Models with Limited GPU Memory
Liangyu Wang
Jie Ren
Hang Xu
Junxiao Wang
Huanyi Xie
David E. Keyes
Di Wang
51
0
0
16 Mar 2025
Theoretical Guarantees for High Order Trajectory Refinement in Generative Flows
Chengyue Gong
Xiaoyu Li
Yingyu Liang
Jiangxuan Long
Zhenmei Shi
Zhao-quan Song
Yu Tian
48
3
0
12 Mar 2025
Identity Lock: Locking API Fine-tuned LLMs With Identity-based Wake Words
Hongyu Su
Yifeng Gao
Yifan Ding
Xingjun Ma
34
0
0
10 Mar 2025
Automatic Prompt Optimization via Heuristic Search: A Survey
Automatic Prompt Optimization via Heuristic Search: A Survey
Wendi Cui
Jiaxin Zhang
Z. Li
Hao Sun
Damien Lopez
Kamalika Das
Bradley Malin
Sricharan Kumar
32
1
0
26 Feb 2025
TimeCAP: Learning to Contextualize, Augment, and Predict Time Series Events with Large Language Model Agents
TimeCAP: Learning to Contextualize, Augment, and Predict Time Series Events with Large Language Model Agents
Geon Lee
Wenchao Yu
Kijung Shin
Wei Cheng
Haifeng Chen
AI4TS
LLMAG
51
3
0
17 Feb 2025
Learning Evolution via Optimization Knowledge Adaptation
Learning Evolution via Optimization Knowledge Adaptation
Chao Wang
Licheng Jiao
Jiaxuan Zhao
Lingling Li
Fang Liu
S. M. I. Simon X. Yang
38
1
0
04 Jan 2025
Synergistic Multi-Agent Framework with Trajectory Learning for Knowledge-Intensive Tasks
Synergistic Multi-Agent Framework with Trajectory Learning for Knowledge-Intensive Tasks
Shengbin Yue
Siyuan Wang
Wei Chen
Xuanjing Huang
Zhongyu Wei
LLMAG
55
8
0
03 Jan 2025
In-Context Learning with Iterative Demonstration Selection
In-Context Learning with Iterative Demonstration Selection
Chengwei Qin
Aston Zhang
C. L. P. Chen
Anirudh Dagar
Wenming Ye
LRM
60
38
0
31 Dec 2024
Generative Language Models Potential for Requirement Engineering
  Applications: Insights into Current Strengths and Limitations
Generative Language Models Potential for Requirement Engineering Applications: Insights into Current Strengths and Limitations
Summra Saleem
M. Asim
L. V. Elst
Andreas Dengel
65
0
0
01 Dec 2024
EcoAct: Economic Agent Determines When to Register What Action
EcoAct: Economic Agent Determines When to Register What Action
Shaokun Zhang
Jieyu Zhang
Dujian Ding
Mirian Hipolito Garcia
Ankur Mallick
Daniel Madrigal
Menglin Xia
Victor Rühle
Qingyun Wu
Chi Wang
LLMAG
36
4
0
03 Nov 2024
Black-Box Forgetting
Black-Box Forgetting
Yusuke Kuwana
Yuta Goto
Takashi Shibata
Go Irie
CLL
MU
VLM
26
0
0
01 Nov 2024
Deep Insights into Automated Optimization with Large Language Models and
  Evolutionary Algorithms
Deep Insights into Automated Optimization with Large Language Models and Evolutionary Algorithms
He Yu
J. Liu
38
1
0
28 Oct 2024
Sharpness-Aware Black-Box Optimization
Sharpness-Aware Black-Box Optimization
Feiyang Ye
Yueming Lyu
Xuehao Wang
Masashi Sugiyama
Yu-Jie Zhang
Ivor W. Tsang
AAML
37
0
0
16 Oct 2024
Evolutionary Retrofitting
Evolutionary Retrofitting
Mathurin Videau
M. Zameshina
Alessandro Leite
Laurent Najman
Marc Schoenauer
O. Teytaud
23
0
0
15 Oct 2024
Bypassing the Exponential Dependency: Looped Transformers Efficiently Learn In-context by Multi-step Gradient Descent
Bypassing the Exponential Dependency: Looped Transformers Efficiently Learn In-context by Multi-step Gradient Descent
Bo Chen
Xiaoyu Li
Yingyu Liang
Zhenmei Shi
Zhao-quan Song
74
18
0
15 Oct 2024
Teaching-Inspired Integrated Prompting Framework: A Novel Approach for
  Enhancing Reasoning in Large Language Models
Teaching-Inspired Integrated Prompting Framework: A Novel Approach for Enhancing Reasoning in Large Language Models
Wenting Tan
Dongxiao Chen
Jieting Xue
Zihao Wang
Taijie Chen
LRM
15
0
0
10 Oct 2024
PortLLM: Personalizing Evolving Large Language Models with Training-Free and Portable Model Patches
PortLLM: Personalizing Evolving Large Language Models with Training-Free and Portable Model Patches
Rana Muhammad Shahroz Khan
Pingzhi Li
Sukwon Yun
Zhenyu Wang
S. Nirjon
Chau-Wai Wong
Tianlong Chen
KELM
29
2
0
08 Oct 2024
FLOPS: Forward Learning with OPtimal Sampling
FLOPS: Forward Learning with OPtimal Sampling
Tao Ren
Zishi Zhang
Jinyang Jiang
Guanghao Li
Zeliang Zhang
Mingqian Feng
Yijie Peng
28
1
0
08 Oct 2024
RevMUX: Data Multiplexing with Reversible Adapters for Efficient LLM
  Batch Inference
RevMUX: Data Multiplexing with Reversible Adapters for Efficient LLM Batch Inference
Yige Xu
Xu Guo
Zhiwei Zeng
Chunyan Miao
23
0
0
06 Oct 2024
On Unsupervised Prompt Learning for Classification with Black-box
  Language Models
On Unsupervised Prompt Learning for Classification with Black-box Language Models
Zhen-Yu Zhang
Jiandong Zhang
Huaxiu Yao
Gang Niu
Masashi Sugiyama
19
0
0
04 Oct 2024
Parameter Competition Balancing for Model Merging
Parameter Competition Balancing for Model Merging
Guodong Du
Junlin Lee
Jing Li
Runhua Jiang
Yifei Guo
...
Hanting Liu
S. Goh
Ho-Kin Tang
Daojing He
Min Zhang
MoMe
17
10
0
03 Oct 2024
"Oh LLM, I'm Asking Thee, Please Give Me a Decision Tree": Zero-Shot
  Decision Tree Induction and Embedding with Large Language Models
"Oh LLM, I'm Asking Thee, Please Give Me a Decision Tree": Zero-Shot Decision Tree Induction and Embedding with Large Language Models
Ricardo Knauer
Mario Koddenbrock
Raphael Wallsberger
Nicholas M. Brisson
Georg N. Duda
Deborah Falla
David W. Evans
Erik Rodner
30
0
0
27 Sep 2024
Multi-Modal Instruction-Tuning Small-Scale Language-and-Vision Assistant
  for Semiconductor Electron Micrograph Analysis
Multi-Modal Instruction-Tuning Small-Scale Language-and-Vision Assistant for Semiconductor Electron Micrograph Analysis
Sakhinana Sagar Srinivas
Geethan Sannidhi
Venkataramana Runkana
33
1
0
27 Aug 2024
Cross-Modal Learning for Chemistry Property Prediction: Large Language
  Models Meet Graph Machine Learning
Cross-Modal Learning for Chemistry Property Prediction: Large Language Models Meet Graph Machine Learning
Sakhinana Sagar Srinivas
Venkataramana Runkana
AI4CE
22
0
0
27 Aug 2024
Hierarchical Network Fusion for Multi-Modal Electron Micrograph
  Representation Learning with Foundational Large Language Models
Hierarchical Network Fusion for Multi-Modal Electron Micrograph Representation Learning with Foundational Large Language Models
Sakhinana Sagar Srinivas
Geethan Sannidhi
Venkataramana Runkana
30
0
0
24 Aug 2024
Preliminary Investigations of a Multi-Faceted Robust and Synergistic
  Approach in Semiconductor Electron Micrograph Analysis: Integrating Vision
  Transformers with Large Language and Multimodal Models
Preliminary Investigations of a Multi-Faceted Robust and Synergistic Approach in Semiconductor Electron Micrograph Analysis: Integrating Vision Transformers with Large Language and Multimodal Models
Sakhinana Sagar Srinivas
Geethan Sannidhi
Sreeja Gangasani
Chidaksh Ravuru
Venkataramana Runkana
18
0
0
24 Aug 2024
SpeechPrompt: Prompting Speech Language Models for Speech Processing
  Tasks
SpeechPrompt: Prompting Speech Language Models for Speech Processing Tasks
Kai-Wei Chang
Haibin Wu
Yu-Kai Wang
Yuan-Kuei Wu
Hua Shen
Wei-Cheng Tseng
Iu-thing Kang
Shang-Wen Li
Hung-yi Lee
31
1
0
23 Aug 2024
Putting People in LLMs' Shoes: Generating Better Answers via Question Rewriter
Putting People in LLMs' Shoes: Generating Better Answers via Question Rewriter
Junhao Chen
Bowen Wang
Zhouqiang Jiang
Yuta Nakashima
33
1
0
20 Aug 2024
Retrieval-Augmented Generation Meets Data-Driven Tabula Rasa Approach
  for Temporal Knowledge Graph Forecasting
Retrieval-Augmented Generation Meets Data-Driven Tabula Rasa Approach for Temporal Knowledge Graph Forecasting
Geethan Sannidhi
Sagar Srinivas Sakhinana
Venkataramana Runkana
RALM
18
0
0
18 Aug 2024
Crossing New Frontiers: Knowledge-Augmented Large Language Model
  Prompting for Zero-Shot Text-Based De Novo Molecule Design
Crossing New Frontiers: Knowledge-Augmented Large Language Model Prompting for Zero-Shot Text-Based De Novo Molecule Design
Sakhinana Sagar Srinivas
Venkataramana Runkana
18
1
0
18 Aug 2024
Large Language Models Prompting With Episodic Memory
Large Language Models Prompting With Episodic Memory
Dai Do
Quan Tran
Svetha Venkatesh
Hung Le
LLMAG
24
1
0
14 Aug 2024
Prompto: An open source library for asynchronous querying of LLM
  endpoints
Prompto: An open source library for asynchronous querying of LLM endpoints
Ryan Sze-Yin Chan
Federico Nanni
Edwin Brown
Ed Chapman
Angus R. Williams
Jonathan Bright
Evelina Gabasova
LRM
14
0
0
12 Aug 2024
LAMPO: Large Language Models as Preference Machines for Few-shot Ordinal
  Classification
LAMPO: Large Language Models as Preference Machines for Few-shot Ordinal Classification
Zhen Qin
Junru Wu
Jiaming Shen
Tianqi Liu
Xuanhui Wang
43
3
0
06 Aug 2024
An investigation on the use of Large Language Models for hyperparameter
  tuning in Evolutionary Algorithms
An investigation on the use of Large Language Models for hyperparameter tuning in Evolutionary Algorithms
Leonardo Lucio Custode
Fabio Caraffini
Anil Yaman
Giovanni Iacca
35
2
0
05 Aug 2024
Solving General Natural-Language-Description Optimization Problems with
  Large Language Models
Solving General Natural-Language-Description Optimization Problems with Large Language Models
Jihai Zhang
Wei Wang
Siyan Guo
Li Wang
Fangquan Lin
Cheng Yang
Wotao Yin
27
8
0
09 Jul 2024
Prompting Techniques for Secure Code Generation: A Systematic Investigation
Prompting Techniques for Secure Code Generation: A Systematic Investigation
Catherine Tony
Nicolás E. Díaz Ferreyra
Markus Mutas
Salem Dhiff
Riccardo Scandariato
SILM
62
9
0
09 Jul 2024
MAPO: Boosting Large Language Model Performance with Model-Adaptive
  Prompt Optimization
MAPO: Boosting Large Language Model Performance with Model-Adaptive Prompt Optimization
Yuyan Chen
Zhihao Wen
Ge Fan
Zhengyu Chen
Wei Yu Wu
Dayiheng Liu
Zhixu Li
Bang Liu
Yanghua Xiao
31
17
0
04 Jul 2024
Hadamard Adapter: An Extreme Parameter-Efficient Adapter Tuning Method
  for Pre-trained Language Models
Hadamard Adapter: An Extreme Parameter-Efficient Adapter Tuning Method for Pre-trained Language Models
Yuyan Chen
Qiang Fu
Ge Fan
Lun Du
Jian-Guang Lou
Shi Han
Dongmei Zhang
Zhixu Li
Yanghua Xiao
MoE
19
16
0
04 Jul 2024
Robust Adaptation of Foundation Models with Black-Box Visual Prompting
Robust Adaptation of Foundation Models with Black-Box Visual Prompting
Changdae Oh
Gyeongdeok Seo
Geunyoung Jung
Zhi-Qi Cheng
Hosik Choi
Jiyoung Jung
Kyungwoo Song
VLM
23
1
0
04 Jul 2024
CPT: Consistent Proxy Tuning for Black-box Optimization
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
20
0
0
01 Jul 2024
Learning to Correct for QA Reasoning with Black-box LLMs
Learning to Correct for QA Reasoning with Black-box LLMs
Jaehyung Kim
Dongyoung Kim
Yiming Yang
LRM
38
3
0
26 Jun 2024
Synergizing Foundation Models and Federated Learning: A Survey
Synergizing Foundation Models and Federated Learning: A Survey
Shenghui Li
Fanghua Ye
Meng Fang
Jiaxu Zhao
Yun-Hin Chan
Edith C. -H. Ngai
Thiemo Voigt
AI4CE
40
5
0
18 Jun 2024
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