Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
2305.03495
Cited By
Automatic Prompt Optimization with "Gradient Descent" and Beam Search
4 May 2023
Reid Pryzant
Dan Iter
Jerry Li
Y. Lee
Chenguang Zhu
Michael Zeng
Re-assign community
ArXiv
PDF
HTML
Papers citing
"Automatic Prompt Optimization with "Gradient Descent" and Beam Search"
50 / 58 papers shown
Title
Monte Carlo Beam Search for Actor-Critic Reinforcement Learning in Continuous Control
Hazim Alzorgan
Abolfazl Razi
21
0
0
13 May 2025
Evaluating the Effectiveness of Black-Box Prompt Optimization as the Scale of LLMs Continues to Grow
Ziyu Zhou
Yihang Wu
J. Yang
Zhan Xiao
Rongjun Li
LRM
29
0
0
13 May 2025
PLHF: Prompt Optimization with Few-Shot Human Feedback
Chun-Pai Yang
Kan Zheng
Shou-De Lin
24
0
0
11 May 2025
Divide, Optimize, Merge: Fine-Grained LLM Agent Optimization at Scale
Jiale Liu
Yifan Zeng
Shaokun Zhang
Chi Zhang
Malte Højmark-Bertelsen
Marie Normann Gadeberg
H. Wang
Qingyun Wu
41
0
0
06 May 2025
Black-Box Visual Prompt Engineering for Mitigating Object Hallucination in Large Vision Language Models
Sangmin Woo
Kang Zhou
Yun Zhou
Shuai Wang
Sheng Guan
Haibo Ding
Lin Lee Cheong
VPVLM
84
0
0
30 Apr 2025
Local Prompt Optimization
Yash Jain
Vishal Chowdhary
53
0
0
29 Apr 2025
Anyprefer: An Agentic Framework for Preference Data Synthesis
Yiyang Zhou
Zhaoxiang Wang
Tianle Wang
Shangyu Xing
Peng Xia
...
Chetan Bansal
Weitong Zhang
Ying Wei
Joey Tianyi Zhou
Huaxiu Yao
63
1
0
27 Apr 2025
Graph of Attacks: Improved Black-Box and Interpretable Jailbreaks for LLMs
Mohammad Akbar-Tajari
Mohammad Taher Pilehvar
Mohammad Mahmoody
AAML
48
0
0
26 Apr 2025
MODP: Multi Objective Directional Prompting
Aashutosh Nema
Samaksh Gulati
Evangelos Giakoumakis
Bipana Thapaliya
LLMAG
54
0
0
25 Apr 2025
Anti-adversarial Learning: Desensitizing Prompts for Large Language Models
Xuan Li
Zhe Yin
Xiaodong Gu
Beijun Shen
AAML
MU
60
0
0
25 Apr 2025
CAPO: Cost-Aware Prompt Optimization
Tom Zehle
Moritz Schlager
Timo Heiß
Matthias Feurer
VLM
59
0
0
22 Apr 2025
LLM-based Automated Grading with Human-in-the-Loop
Hang Li
Yucheng Chu
Kaiqi Yang
Yasemin Copur-Gencturk
Jiliang Tang
AI4Ed
ELM
59
0
0
07 Apr 2025
Cognitive Debiasing Large Language Models for Decision-Making
Yougang Lyu
Shijie Ren
Yue Feng
Zihan Wang
Z. Chen
Z. Z. Ren
Maarten de Rijke
41
0
0
05 Apr 2025
ProAPO: Progressively Automatic Prompt Optimization for Visual Classification
Xiangyan Qu
Gaopeng Gou
Jiamin Zhuang
Jing Yu
Kun Song
Qihao Wang
Yili Li
Gang Xiong
VLM
93
0
0
13 Mar 2025
Can Frontier LLMs Replace Annotators in Biomedical Text Mining? Analyzing Challenges and Exploring Solutions
Yichong Zhao
Susumu Goto
65
0
0
05 Mar 2025
Bandit-Based Prompt Design Strategy Selection Improves Prompt Optimizers
Rin Ashizawa
Yoichi Hirose
Nozomu Yoshinari
Kento Uchida
Shinichi Shirakawa
63
0
0
03 Mar 2025
RePrompt: Planning by Automatic Prompt Engineering for Large Language Models Agents
Weizhe Chen
Sven Koenig
B. Dilkina
LLMAG
110
8
0
17 Feb 2025
Self-Supervised Prompt Optimization
Jinyu Xiang
Jiayi Zhang
Zhaoyang Yu
Fengwei Teng
Jinhao Tu
Xinbing Liang
Sirui Hong
Chenglin Wu
Yuyu Luo
OffRL
LRM
74
7
0
07 Feb 2025
Benchmarking and Defending Against Indirect Prompt Injection Attacks on Large Language Models
Jingwei Yi
Yueqi Xie
Bin Zhu
Emre Kiciman
Guangzhong Sun
Xing Xie
Fangzhao Wu
AAML
62
65
0
28 Jan 2025
Unleashing the Potential of Large Language Models as Prompt Optimizers: Analogical Analysis with Gradient-based Model Optimizers
Xinyu Tang
Xiaolei Wang
Wayne Xin Zhao
Siyuan Lu
Yaliang Li
Ji-Rong Wen
LRM
56
14
0
28 Jan 2025
An Empirically-grounded tool for Automatic Prompt Linting and Repair: A Case Study on Bias, Vulnerability, and Optimization in Developer Prompts
Dhia Elhaq Rzig
Dhruba Jyoti Paul
Kaiser Pister
Jordan Henkel
Foyzul Hassan
80
0
0
21 Jan 2025
Human-inspired Perspectives: A Survey on AI Long-term Memory
Zihong He
Weizhe Lin
Hao Zheng
Fan Zhang
Matt Jones
Laurence Aitchison
X. Xu
Miao Liu
Per Ola Kristensson
Junxiao Shen
77
2
0
01 Nov 2024
4-LEGS: 4D Language Embedded Gaussian Splatting
Gal Fiebelman
Tamir Cohen
Ayellet Morgenstern
Peter Hedman
Hadar Averbuch-Elor
3DGS
46
3
0
14 Oct 2024
Survival of the Safest: Towards Secure Prompt Optimization through Interleaved Multi-Objective Evolution
Ankita Sinha
Wendi Cui
Kamalika Das
Jiaxin Zhang
AAML
28
2
0
12 Oct 2024
StablePrompt: Automatic Prompt Tuning using Reinforcement Learning for Large Language Models
Minchan Kwon
Gaeun Kim
Jongsuk Kim
Haeil Lee
Junmo Kim
OffRL
LRM
LLMAG
26
2
0
10 Oct 2024
Retrieval Augmented Generation (RAG) and Beyond: A Comprehensive Survey on How to Make your LLMs use External Data More Wisely
Siyun Zhao
Yuqing Yang
Zilong Wang
Zhiyuan He
Luna Qiu
Lili Qiu
SyDa
RALM
3DV
44
35
0
23 Sep 2024
Prompt Obfuscation for Large Language Models
David Pape
Thorsten Eisenhofer
Thorsten Eisenhofer
Lea Schönherr
AAML
38
2
0
17 Sep 2024
Putting People in LLMs' Shoes: Generating Better Answers via Question Rewriter
Junhao Chen
Bowen Wang
Zhouqiang Jiang
Yuta Nakashima
48
1
0
20 Aug 2024
Concept Distillation from Strong to Weak Models via Hypotheses-to-Theories Prompting
Emmanuel Aboah Boateng
Cassiano O. Becker
Nabiha Asghar
Kabir Walia
Ashwin Srinivasan
Ehi Nosakhare
Victor Dibia
Soundar Srinivasan
LRM
31
0
0
18 Aug 2024
An investigation on the use of Large Language Models for hyperparameter tuning in Evolutionary Algorithms
Leonardo Lucio Custode
Fabio Caraffini
Anil Yaman
Giovanni Iacca
42
2
0
05 Aug 2024
MAPO: Boosting Large Language Model Performance with Model-Adaptive Prompt Optimization
Yuyan Chen
Zhihao Wen
Ge Fan
Zhengyu Chen
Wei Wu
Dayiheng Liu
Zhixu Li
Bang Liu
Yanghua Xiao
39
18
0
04 Jul 2024
Few-shot Personalization of LLMs with Mis-aligned Responses
Jaehyung Kim
Yiming Yang
50
7
0
26 Jun 2024
On the Transformations across Reward Model, Parameter Update, and In-Context Prompt
Deng Cai
Huayang Li
Tingchen Fu
Siheng Li
Weiwen Xu
...
Leyang Cui
Yan Wang
Lemao Liu
Taro Watanabe
Shuming Shi
KELM
30
2
0
24 Jun 2024
LLM2FEA: Discover Novel Designs with Generative Evolutionary Multitasking
Melvin Wong
Jiao Liu
Thiago Rios
Stefan Menzel
Yew-Soon Ong
57
2
0
21 Jun 2024
APEER: Automatic Prompt Engineering Enhances Large Language Model Reranking
Can Jin
Hongwu Peng
Shiyu Zhao
Zhenting Wang
Wujiang Xu
Ligong Han
Jiahui Zhao
Kai Zhong
Sanguthevar Rajasekaran
Dimitris N. Metaxas
KELM
44
32
0
20 Jun 2024
Efficient Indirect LLM Jailbreak via Multimodal-LLM Jailbreak
Zhenxing Niu
Yuyao Sun
Haoxuan Ji
Zheng Lin
Haichang Gao
Xinbo Gao
Gang Hua
Rong Jin
33
2
0
30 May 2024
Evaluation of Few-Shot Learning for Classification Tasks in the Polish Language
Tsimur Hadeliya
D. Kajtoch
46
0
0
27 Apr 2024
UMass-BioNLP at MEDIQA-M3G 2024: DermPrompt -- A Systematic Exploration of Prompt Engineering with GPT-4V for Dermatological Diagnosis
Parth Vashisht
Abhilasha Lodha
Mukta Maddipatla
Zonghai Yao
Avijit Mitra
Zhichao Yang
Junda Wang
Sunjae Kwon
Hong-ye Yu
LM&MA
34
1
0
27 Apr 2024
Examining the robustness of LLM evaluation to the distributional assumptions of benchmarks
Melissa Ailem
Katerina Marazopoulou
Charlotte Siska
James Bono
59
14
0
25 Apr 2024
Automated Black-box Prompt Engineering for Personalized Text-to-Image Generation
Yutong He
Alexander Robey
Naoki Murata
Yiding Jiang
J. Williams
George Pappas
Hamed Hassani
Yuki Mitsufuji
Ruslan Salakhutdinov
J. Zico Kolter
DiffM
104
4
0
28 Mar 2024
Can LLMs Separate Instructions From Data? And What Do We Even Mean By That?
Egor Zverev
Sahar Abdelnabi
Soroush Tabesh
Mario Fritz
Christoph H. Lampert
56
19
0
11 Mar 2024
AmbigNLG: Addressing Task Ambiguity in Instruction for NLG
Ayana Niwa
Hayate Iso
36
4
0
27 Feb 2024
Agent-Pro: Learning to Evolve via Policy-Level Reflection and Optimization
Wenqi Zhang
Ke Tang
Hai Wu
Mengna Wang
Yongliang Shen
Guiyang Hou
Zeqi Tan
Peng Li
Yueting Zhuang
Weiming Lu
LLMAG
44
37
0
27 Feb 2024
The RL/LLM Taxonomy Tree: Reviewing Synergies Between Reinforcement Learning and Large Language Models
M. Pternea
Prerna Singh
Abir Chakraborty
Y. Oruganti
M. Milletarí
Sayli Bapat
Kebei Jiang
OffRL
24
7
0
02 Feb 2024
Transfer Attacks and Defenses for Large Language Models on Coding Tasks
Chi Zhang
Zifan Wang
Ravi Mangal
Matt Fredrikson
Limin Jia
Corina S. Pasareanu
AAML
SILM
29
1
0
22 Nov 2023
Quantifying Language Models' Sensitivity to Spurious Features in Prompt Design or: How I learned to start worrying about prompt formatting
Melanie Sclar
Yejin Choi
Yulia Tsvetkov
Alane Suhr
38
304
0
17 Oct 2023
PREFER: Prompt Ensemble Learning via Feedback-Reflect-Refine
Chenrui Zhang
Lina Liu
Jinpeng Wang
Chuyuan Wang
Xiaodi Sun
Hongyu Wang
Mingchen Cai
LLMAG
39
23
0
23 Aug 2023
PACE: Improving Prompt with Actor-Critic Editing for Large Language Model
Yihong Dong
Kangcheng Luo
Xue Jiang
Zhi Jin
Ge Li
LRM
KELM
36
9
0
19 Aug 2023
MasterKey: Automated Jailbreak Across Multiple Large Language Model Chatbots
Gelei Deng
Yi Liu
Yuekang Li
Kailong Wang
Ying Zhang
Zefeng Li
Haoyu Wang
Tianwei Zhang
Yang Liu
SILM
37
118
0
16 Jul 2023
AutoHint: Automatic Prompt Optimization with Hint Generation
Hong Sun
Xue Li
Yi Xu
Youkow Homma
Qinhao Cao
Min-man Wu
Jian Jiao
Denis Xavier Charles
34
23
0
13 Jul 2023
1
2
Next