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"

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Title
Chart-to-Experience: Benchmarking Multimodal LLMs for Predicting Experiential Impact of Charts Seon Gyeom Kim Jae Young Choi Ryan Rossi Eunyee Koh Tak Yeon Lee 73 0 0 23 May 2025
Learn to Think: Bootstrapping LLM Reasoning Capability Through Graph Representation Learning Hang Gao Chenhao Zhang Tie Wang Junsuo Zhao Fengge Wu Changwen Zheng Huaping Liu LRM 112 0 0 09 May 2025
In-Context Adaptation to Concept Drift for Learned Database Operations Jiaqi Zhu Shaofeng Cai Yanyan Shen Gang Chen Fang Deng Beng Chin Ooi VLM 140 0 0 07 May 2025
Synergistic Multi-Agent Framework with Trajectory Learning for Knowledge-Intensive Tasks Shengbin Yue Siyuan Wang Wei Chen Xuanjing Huang Zhongyu Wei LLMAG 117 10 0 03 Jan 2025
In-Context Learning with Iterative Demonstration Selection Chengwei Qin Aston Zhang Chong Chen Anirudh Dagar Wenming Ye LRM 127 48 0 31 Dec 2024
FLOPS: Forward Learning with OPtimal Sampling Tao Ren Zishi Zhang Jinyang Jiang Guanghao Li Zeliang Zhang Mingqian Feng Yijie Peng 112 1 0 08 Oct 2024
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 83 2 0 08 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 Ricardo Knauer Mario Koddenbrock Raphael Wallsberger Nicholas M. Brisson Georg N. Duda Deborah Falla David W. Evans Erik Rodner 119 0 0 27 Sep 2024
Putting People in LLMs' Shoes: Generating Better Answers via Question Rewriter Junhao Chen Bowen Wang Zhouqiang Jiang Yuta Nakashima 70 1 0 20 Aug 2024
Prompting Techniques for Secure Code Generation: A Systematic Investigation Catherine Tony Nicolás E. Díaz Ferreyra Markus Mutas Salem Dhiff Riccardo Scandariato SILM 109 10 0 09 Jul 2024
Learning to Learn from APIs: Black-Box Data-Free Meta-Learning Zixuan Hu Li Shen Zhenyi Wang Baoyuan Wu Chun Yuan Dacheng Tao 80 7 0 28 May 2023
Yuan 1.0: Large-Scale Pre-trained Language Model in Zero-Shot and Few-Shot Learning Shaohua Wu Xudong Zhao Tong Yu Rongguo Zhang C. Shen ... Feng Li Hong Zhu Jiangang Luo Liang Xu Xuanwei Zhang ALM 44 60 0 10 Oct 2021
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 222 1,011 0 09 Oct 2021
Towards a Unified View of Parameter-Efficient Transfer Learning Junxian He Chunting Zhou Xuezhe Ma Taylor Berg-Kirkpatrick Graham Neubig AAML 88 918 0 08 Oct 2021
CPM-2: Large-scale Cost-effective Pre-trained Language Models Zhengyan Zhang Yuxian Gu Xu Han Shengqi Chen Chaojun Xiao ... Minlie Huang Wentao Han Yang Liu Xiaoyan Zhu Maosong Sun MoE 64 86 0 20 Jun 2021
The Power of Scale for Parameter-Efficient Prompt Tuning Brian Lester Rami Al-Rfou Noah Constant VPVLM 480 3,952 0 18 Apr 2021
Factual Probing Is [MASK]: Learning vs. Learning to Recall Zexuan Zhong Dan Friedman Danqi Chen 45 407 0 12 Apr 2021
GPT Understands, Too Xiao Liu Yanan Zheng Zhengxiao Du Ming Ding Yujie Qian Zhilin Yang Jie Tang VLM 149 1,161 0 18 Mar 2021
Prefix-Tuning: Optimizing Continuous Prompts for Generation Xiang Lisa Li Percy Liang 189 4,209 0 01 Jan 2021
WARP: Word-level Adversarial ReProgramming Karen Hambardzumyan Hrant Khachatrian Jonathan May AAML 291 347 0 01 Jan 2021
Intrinsic Dimensionality Explains the Effectiveness of Language Model Fine-Tuning Armen Aghajanyan Luke Zettlemoyer Sonal Gupta 84 553 1 22 Dec 2020
CPM: A Large-scale Generative Chinese Pre-trained Language Model Zhengyan Zhang Xu Han Hao Zhou Pei Ke Yuxian Gu ... Wentao Han Jie Tang Juan-Zi Li Xiaoyan Zhu Maosong Sun 53 116 0 01 Dec 2020
Automatically Identifying Words That Can Serve as Labels for Few-Shot Text Classification Timo Schick Helmut Schmid Hinrich Schütze VLM 73 206 0 26 Oct 2020
It's Not Just Size That Matters: Small Language Models Are Also Few-Shot Learners Timo Schick Hinrich Schütze 94 970 0 15 Sep 2020
Re-Examining Linear Embeddings for High-Dimensional Bayesian Optimization Benjamin Letham Roberto Calandra Akshara Rai E. Bakshy 93 113 0 31 Jan 2020
Exploiting Cloze Questions for Few Shot Text Classification and Natural Language Inference Timo Schick Hinrich Schütze 312 1,606 0 21 Jan 2020
To Tune or Not to Tune? Adapting Pretrained Representations to Diverse Tasks Matthew E. Peters Sebastian Ruder Noah A. Smith 71 435 0 14 Mar 2019
A Broad-Coverage Challenge Corpus for Sentence Understanding through Inference Adina Williams Nikita Nangia Samuel R. Bowman 462 4,444 0 18 Apr 2017
The CMA Evolution Strategy: A Tutorial N. Hansen 64 1,362 0 04 Apr 2016
Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification Kaiming He Xinming Zhang Shaoqing Ren Jian Sun VLM 244 18,534 0 06 Feb 2015
Practical Bayesian Optimization of Machine Learning Algorithms Jasper Snoek Hugo Larochelle Ryan P. Adams 308 7,883 0 13 Jun 2012