ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2402.02101
  4. Cited By
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
Qi Zhang
Xuanjing Huang
    LLMAG
    LRM
ArXivPDFHTML

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

10 / 10 papers shown
Title
AgentSquare: Automatic LLM Agent Search in Modular Design Space
AgentSquare: Automatic LLM Agent Search in Modular Design Space
Yu Shang
Yu Li
Keyu Zhao
Likai Ma
J. Liu
Fengli Xu
Yong Li
LLMAG
28
8
0
08 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
67
19
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
44
3
0
28 May 2024
GPT-4 Doesn't Know It's Wrong: An Analysis of Iterative Prompting for
  Reasoning Problems
GPT-4 Doesn't Know It's Wrong: An Analysis of Iterative Prompting for Reasoning Problems
Kaya Stechly
Matthew Marquez
Subbarao Kambhampati
LRM
155
84
0
19 Oct 2023
Sparks of Artificial General Intelligence: Early experiments with GPT-4
Sparks of Artificial General Intelligence: Early experiments with GPT-4
Sébastien Bubeck
Varun Chandrasekaran
Ronen Eldan
J. Gehrke
Eric Horvitz
...
Scott M. Lundberg
Harsha Nori
Hamid Palangi
Marco Tulio Ribeiro
Yi Zhang
ELM
AI4MH
AI4CE
ALM
203
2,232
0
22 Mar 2023
Large Language Models are Zero-Shot Reasoners
Large Language Models are Zero-Shot Reasoners
Takeshi Kojima
S. Gu
Machel Reid
Yutaka Matsuo
Yusuke Iwasawa
ReLM
LRM
291
2,712
0
24 May 2022
Self-Consistency Improves Chain of Thought Reasoning in Language Models
Self-Consistency Improves Chain of Thought Reasoning in Language Models
Xuezhi Wang
Jason W. Wei
Dale Schuurmans
Quoc Le
Ed H. Chi
Sharan Narang
Aakanksha Chowdhery
Denny Zhou
ReLM
BDL
LRM
AI4CE
297
3,163
0
21 Mar 2022
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Jason W. Wei
Xuezhi Wang
Dale Schuurmans
Maarten Bosma
Brian Ichter
F. Xia
Ed H. Chi
Quoc Le
Denny Zhou
LM&Ro
LRM
AI4CE
ReLM
315
8,261
0
28 Jan 2022
Fantastically Ordered Prompts and Where to Find Them: Overcoming
  Few-Shot Prompt Order Sensitivity
Fantastically Ordered Prompts and Where to Find Them: Overcoming Few-Shot Prompt Order Sensitivity
Yao Lu
Max Bartolo
Alastair Moore
Sebastian Riedel
Pontus Stenetorp
AILaw
LRM
274
1,114
0
18 Apr 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
1