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Are Large Language Models Good Prompt Optimizers?

Are Large Language Models Good Prompt Optimizers?

3 February 2024
Ruotian Ma
Xiaolei Wang
Xin Zhou
Jian Li
Nan Du
Tao Gui
Tao Gui
Xuanjing Huang
    LLMAGLRM
ArXiv (abs)PDFHTMLGithub (1349★)

Papers citing "Are Large Language Models Good Prompt Optimizers?"

15 / 15 papers shown
POT: Inducing Overthinking in LLMs via Black-Box Iterative Optimization
POT: Inducing Overthinking in LLMs via Black-Box Iterative Optimization
Xinyu Li
Tianjin Huang
Ronghui Mu
Xiaowei Huang
Gaojie Jin
LRM
160
5
0
23 Aug 2025
APIO: Automatic Prompt Induction and Optimization for Grammatical Error Correction and Text Simplification
APIO: Automatic Prompt Induction and Optimization for Grammatical Error Correction and Text Simplification
Artem Chernodub
Aman Saini
Yejin Huh
Vivek Kulkarni
Vipul Raheja
172
0
0
12 Aug 2025
Enhancing Reasoning Capabilities of Small Language Models with Blueprints and Prompt Template Search
Dongge Han
Menglin Xia
Daniel Madrigal Diaz
Samuel Kessler
Ankur Mallick
Xuchao Zhang
Mirian Hipolito Garcia
Jin Xu
Victor Rühle
Saravan Rajmohan
LRM
288
0
0
10 Jun 2025
Optimizing LLM-Based Multi-Agent System with Textual Feedback: A Case Study on Software Development
Optimizing LLM-Based Multi-Agent System with Textual Feedback: A Case Study on Software Development
Ming Shen
Raphael Shu
Anurag Pratik
James Gung
Yubin Ge
Monica Sunkara
Yi Zhang
LLMAG
404
6
0
22 May 2025
Large Language Model Enhanced Particle Swarm Optimization for Hyperparameter Tuning for Deep Learning Models
Large Language Model Enhanced Particle Swarm Optimization for Hyperparameter Tuning for Deep Learning ModelsIEEE Open Journal of the Computer Society (JOCS), 2025
Saad Hameed
Basheer Qolomany
Samir Brahim Belhaouari
M. Abdallah
Junaid Qadir
Ala I. Al-Fuqaha
217
8
0
19 Apr 2025
Entropy-Gated Branching for Efficient Test-Time Reasoning
Entropy-Gated Branching for Efficient Test-Time Reasoning
Xianzhi Li
Ethan Callanan
Xiaodan Zhu
Mathieu Sibue
LRM
568
3
0
27 Mar 2025
Same Question, Different Words: A Latent Adversarial Framework for Prompt Robustness
Same Question, Different Words: A Latent Adversarial Framework for Prompt Robustness
Tingchen Fu
Fazl Barez
AAML
365
3
0
03 Mar 2025
Can Textual Gradient Work in Federated Learning?
Can Textual Gradient Work in Federated Learning?International Conference on Learning Representations (ICLR), 2025
Minghui Chen
Ruinan Jin
Wenlong Deng
Yuanyuan Chen
Zhi Huang
Han Yu
Xiaoxiao Li
FedML
426
9
0
27 Feb 2025
S$^2$R: Teaching LLMs to Self-verify and Self-correct via Reinforcement Learning
S2^22R: Teaching LLMs to Self-verify and Self-correct via Reinforcement LearningAnnual Meeting of the Association for Computational Linguistics (ACL), 2025
Ruotian Ma
Peisong Wang
Cheng Liu
Xingyan Liu
Jiaqi Chen
Bang Zhang
Xin Zhou
Nan Du
Jia Li
LRM
596
13
0
18 Feb 2025
StraGo: Harnessing Strategic Guidance for Prompt Optimization
StraGo: Harnessing Strategic Guidance for Prompt OptimizationConference on Empirical Methods in Natural Language Processing (EMNLP), 2024
Yurong Wu
Yan Gao
Bin Benjamin Zhu
Zineng Zhou
Xiaodi Sun
Sheng Yang
Jian-Guang Lou
Zhiming Ding
Linjun Yang
LLMAG
235
15
0
11 Oct 2024
AgentSquare: Automatic LLM Agent Search in Modular Design Space
AgentSquare: Automatic LLM Agent Search in Modular Design SpaceInternational Conference on Learning Representations (ICLR), 2024
Yu Shang
Yu Li
Keyu Zhao
Likai Ma
Qingbin Liu
Fengli Xu
Yong Li
LLMAG
600
71
0
08 Oct 2024
A LLM-Powered Automatic Grading Framework with Human-Level Guidelines Optimization
A LLM-Powered Automatic Grading Framework with Human-Level Guidelines OptimizationEducational Data Mining (EDM), 2024
Yucheng Chu
Hang Li
Kaiqi Yang
Harry Shomer
Hui Liu
Yasemin Copur-Gencturk
Shucheng Zhou
LLMAG
376
15
0
03 Oct 2024
What Did I Do Wrong? Quantifying LLMs' Sensitivity and Consistency to Prompt Engineering
What Did I Do Wrong? Quantifying LLMs' Sensitivity and Consistency to Prompt Engineering
Federico Errica
G. Siracusano
D. Sanvito
Roberto Bifulco
644
97
0
18 Jun 2024
Metaheuristics and Large Language Models Join Forces: Toward an Integrated Optimization Approach
Metaheuristics and Large Language Models Join Forces: Toward an Integrated Optimization Approach
Camilo Chacón Sartori
Christian Blum
Filippo Bistaffa
Guillem Rodríguez Corominas
AIFin
530
12
0
28 May 2024
Efficient Prompting Methods for Large Language Models: A Survey
Efficient Prompting Methods for Large Language Models: A Survey
Kaiyan Chang
Songcheng Xu
Chenglong Wang
Yingfeng Luo
Tong Xiao
Jingbo Zhu
LRM
505
53
0
01 Apr 2024
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