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Large Language Models as Optimizers

Large Language Models as Optimizers

7 September 2023
Chengrun Yang
Xuezhi Wang
Yifeng Lu
Hanxiao Liu
Quoc V. Le
Denny Zhou
Xinyun Chen
    ODL
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Papers citing "Large Language Models as Optimizers"

50 / 71 papers shown
Title
Uncertainty Profiles for LLMs: Uncertainty Source Decomposition and Adaptive Model-Metric Selection
Uncertainty Profiles for LLMs: Uncertainty Source Decomposition and Adaptive Model-Metric Selection
Pei-Fu Guo
Yun-Da Tsai
Shou-De Lin
UD
36
0
0
12 May 2025
Optimization Problem Solving Can Transition to Evolutionary Agentic Workflows
Optimization Problem Solving Can Transition to Evolutionary Agentic Workflows
Wenhao Li
Bo Jin
Mingyi Hong
Changhong Lu
Xiangfeng Wang
46
0
0
07 May 2025
LLM-OptiRA: LLM-Driven Optimization of Resource Allocation for Non-Convex Problems in Wireless Communications
LLM-OptiRA: LLM-Driven Optimization of Resource Allocation for Non-Convex Problems in Wireless Communications
Xinyue Peng
Yanming Liu
Yihan Cang
Chaoqun Cao
Ming Chen
40
0
0
04 May 2025
SAS-Prompt: Large Language Models as Numerical Optimizers for Robot Self-Improvement
SAS-Prompt: Large Language Models as Numerical Optimizers for Robot Self-Improvement
H. B. Amor
L. Graesser
Atil Iscen
David B. DÁmbrosio
Saminda Abeyruwan
Alex Bewley
Yifan Zhou
Kamalesh Kalirathinam
Swaroop Mishra
Pannag R. Sanketi
LLMAG
LM&Ro
LRM
102
0
0
29 Apr 2025
CAPO: Cost-Aware Prompt Optimization
CAPO: Cost-Aware Prompt Optimization
Tom Zehle
Moritz Schlager
Timo Heiß
Matthias Feurer
VLM
52
0
0
22 Apr 2025
Algorithm Discovery With LLMs: Evolutionary Search Meets Reinforcement Learning
Algorithm Discovery With LLMs: Evolutionary Search Meets Reinforcement Learning
Anja Surina
Amin Mansouri
Lars Quaedvlieg
Amal Seddas
Maryna Viazovska
Emmanuel Abbe
Çağlar Gülçehre
31
0
0
07 Apr 2025
Cognitive Prompts Using Guilford's Structure of Intellect Model
Cognitive Prompts Using Guilford's Structure of Intellect Model
Oliver Kramer
LRM
37
0
0
27 Mar 2025
ProAPO: Progressively Automatic Prompt Optimization for Visual Classification
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
75
0
0
13 Mar 2025
Combinatorial Optimization via LLM-driven Iterated Fine-tuning
Pranjal Awasthi
Sreenivas Gollapudi
Ravi Kumar
Kamesh Munagala
63
0
0
10 Mar 2025
Bandit-Based Prompt Design Strategy Selection Improves Prompt Optimizers
Rin Ashizawa
Yoichi Hirose
Nozomu Yoshinari
Kento Uchida
Shinichi Shirakawa
61
0
0
03 Mar 2025
IGDA: Interactive Graph Discovery through Large Language Model Agents
IGDA: Interactive Graph Discovery through Large Language Model Agents
Alex Havrilla
David Alvarez-Melis
Nicolò Fusi
AI4CE
40
0
0
24 Feb 2025
Towards Foundation Models for Mixed Integer Linear Programming
Towards Foundation Models for Mixed Integer Linear Programming
Sirui Li
Janardhan Kulkarni
Ishai Menache
Cathy Wu
Beibin Li
55
3
0
24 Feb 2025
LLM4GNAS: A Large Language Model Based Toolkit for Graph Neural Architecture Search
LLM4GNAS: A Large Language Model Based Toolkit for Graph Neural Architecture Search
Yang Gao
Hong Yang
Y. Chen
Junxian Wu
Peng Zhang
Haishuai Wang
41
0
0
12 Feb 2025
ARIES: Stimulating Self-Refinement of Large Language Models by Iterative Preference Optimization
ARIES: Stimulating Self-Refinement of Large Language Models by Iterative Preference Optimization
Yongcheng Zeng
Xinyu Cui
Xuanfa Jin
Guoqing Liu
Zexu Sun
...
Dong Li
Ning Yang
Jianye Hao
H. Zhang
J. Wang
LRM
LLMAG
80
1
0
08 Feb 2025
Self-Supervised Prompt Optimization
Self-Supervised Prompt Optimization
Jinyu Xiang
Jiayi Zhang
Zhaoyang Yu
Fengwei Teng
Jinhao Tu
Xinbing Liang
Sirui Hong
Chenglin Wu
Yuyu Luo
OffRL
LRM
66
5
0
07 Feb 2025
Irony Detection, Reasoning and Understanding in Zero-shot Learning
Irony Detection, Reasoning and Understanding in Zero-shot Learning
Peiling Yi
Yuhan Xia
54
0
0
28 Jan 2025
Language-Based Bayesian Optimization Research Assistant (BORA)
A. Cissé
Xenophon Evangelopoulos
V. Gusev
Andrew I. Cooper
41
0
0
28 Jan 2025
Knowledge-Infused Prompting: Assessing and Advancing Clinical Text Data Generation with Large Language Models
Knowledge-Infused Prompting: Assessing and Advancing Clinical Text Data Generation with Large Language Models
Ran Xu
Hejie Cui
Yue Yu
Xuan Kan
Wenqi Shi
Yuchen Zhuang
Wei Jin
Joyce C. Ho
Carl Yang
64
12
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
75
0
0
21 Jan 2025
ChemAgent: Self-updating Library in Large Language Models Improves Chemical Reasoning
ChemAgent: Self-updating Library in Large Language Models Improves Chemical Reasoning
Xiangru Tang
Tianyu Hu
Muyang Ye
Yanjun Shao
Xunjian Yin
...
Pan Lu
Zhuosheng Zhang
Yilun Zhao
Arman Cohan
Mark B. Gerstein
LLMAG
LRM
AI4CE
62
5
0
11 Jan 2025
MLLM-as-a-Judge for Image Safety without Human Labeling
MLLM-as-a-Judge for Image Safety without Human Labeling
Zhenting Wang
Shuming Hu
Shiyu Zhao
Xiaowen Lin
F. Xu
...
Nan Jiang
Lingjuan Lyu
Shiqing Ma
Dimitris N. Metaxas
Ankit Jain
102
1
0
31 Dec 2024
B-STaR: Monitoring and Balancing Exploration and Exploitation in Self-Taught Reasoners
B-STaR: Monitoring and Balancing Exploration and Exploitation in Self-Taught Reasoners
Weihao Zeng
Yuzhen Huang
Lulu Zhao
Yijun Wang
Zifei Shan
Junxian He
LRM
33
7
0
23 Dec 2024
ThreatModeling-LLM: Automating Threat Modeling using Large Language Models for Banking System
ThreatModeling-LLM: Automating Threat Modeling using Large Language Models for Banking System
Shuiqiao Yang
Tingmin Wu
Shigang Liu
David D. Nguyen
Seung Ick Jang
A. Abuadbba
81
1
0
26 Nov 2024
Unlocking Historical Clinical Trial Data with ALIGN: A Compositional Large Language Model System for Medical Coding
Unlocking Historical Clinical Trial Data with ALIGN: A Compositional Large Language Model System for Medical Coding
Nabeel Seedat
Caterina Tozzi
Andrea Hita Ardiaca
M. Schaar
James Weatherall
Adam Taylor
111
0
0
20 Nov 2024
CaPo: Cooperative Plan Optimization for Efficient Embodied Multi-Agent Cooperation
CaPo: Cooperative Plan Optimization for Efficient Embodied Multi-Agent Cooperation
Jie Liu
Pan Zhou
Yingjun Du
Ah-Hwee Tan
Cees G. M. Snoek
J. Sonke
E. Gavves
LLMAG
29
1
0
07 Nov 2024
Toward Automated Algorithm Design: A Survey and Practical Guide to Meta-Black-Box-Optimization
Toward Automated Algorithm Design: A Survey and Practical Guide to Meta-Black-Box-Optimization
Zeyuan Ma
Hongshu Guo
Yue-jiao Gong
Jun Zhang
Kay Chen Tan
98
2
0
01 Nov 2024
LLMOPT: Learning to Define and Solve General Optimization Problems from Scratch
LLMOPT: Learning to Define and Solve General Optimization Problems from Scratch
Caigao Jiang
Xiang Shu
Hong Qian
Xingyu Lu
Jun-ping Zhou
Aimin Zhou
Yang Yu
34
1
0
17 Oct 2024
Improving Instruction-Following in Language Models through Activation Steering
Improving Instruction-Following in Language Models through Activation Steering
Alessandro Stolfo
Vidhisha Balachandran
Safoora Yousefi
Eric Horvitz
Besmira Nushi
LLMSV
52
13
0
15 Oct 2024
Denial-of-Service Poisoning Attacks against Large Language Models
Denial-of-Service Poisoning Attacks against Large Language Models
Kuofeng Gao
Tianyu Pang
Chao Du
Yong Yang
Shu-Tao Xia
Min-Bin Lin
SILM
AAML
54
4
0
14 Oct 2024
4-LEGS: 4D Language Embedded Gaussian Splatting
4-LEGS: 4D Language Embedded Gaussian Splatting
Gal Fiebelman
Tamir Cohen
Ayellet Morgenstern
Peter Hedman
Hadar Averbuch-Elor
3DGS
41
1
0
14 Oct 2024
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
42
9
0
08 Oct 2024
GLOV: Guided Large Language Models as Implicit Optimizers for Vision Language Models
GLOV: Guided Large Language Models as Implicit Optimizers for Vision Language Models
Muhammad Jehanzeb Mirza
Mengjie Zhao
Zhuoyuan Mao
Sivan Doveh
Wei Lin
...
Yuki Mitsufuji
Horst Possegger
Rogerio Feris
Leonid Karlinsky
James Glass
VLM
76
1
0
08 Oct 2024
Unlocking Structured Thinking in Language Models with Cognitive
  Prompting
Unlocking Structured Thinking in Language Models with Cognitive Prompting
Oliver Kramer
Jill Baumann
ReLM
LRM
16
3
0
03 Oct 2024
Retrieval Augmented Generation (RAG) and Beyond: A Comprehensive Survey
  on How to Make your LLMs use External Data More Wisely
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
32
33
0
23 Sep 2024
To CoT or not to CoT? Chain-of-thought helps mainly on math and symbolic reasoning
To CoT or not to CoT? Chain-of-thought helps mainly on math and symbolic reasoning
Zayne Sprague
Fangcong Yin
Juan Diego Rodriguez
Dongwei Jiang
Manya Wadhwa
Prasann Singhal
Xinyu Zhao
Xi Ye
Kyle Mahowald
Greg Durrett
ReLM
LRM
114
79
0
18 Sep 2024
Cropper: Vision-Language Model for Image Cropping through In-Context Learning
Cropper: Vision-Language Model for Image Cropping through In-Context Learning
Seung Hyun Lee
Junjie Ke
Yinxiao Li
Junfeng He
Steven Hickson
...
Irfan Essa
Sangpil Kim
Ming-Hsuan Yang
Irfan Essa
Feng Yang
VLM
39
0
0
14 Aug 2024
DiffSG: A Generative Solver for Network Optimization with Diffusion Model
DiffSG: A Generative Solver for Network Optimization with Diffusion Model
Ruihuai Liang
Bo Yang
Zhiwen Yu
Bin Guo
Xuelin Cao
Mérouane Debbah
H. Vincent Poor
Chau Yuen
DiffM
39
5
0
13 Aug 2024
Prompt Selection Matters: Enhancing Text Annotations for Social Sciences with Large Language Models
Prompt Selection Matters: Enhancing Text Annotations for Social Sciences with Large Language Models
Louis Abraham
Charles Arnal
Antoine Marie
55
1
0
15 Jul 2024
On Speeding Up Language Model Evaluation
On Speeding Up Language Model Evaluation
Jin Peng Zhou
Christian K. Belardi
Ruihan Wu
Travis Zhang
Carla P. Gomes
Wen Sun
Kilian Q. Weinberger
48
1
0
08 Jul 2024
Few-shot Personalization of LLMs with Mis-aligned Responses
Few-shot Personalization of LLMs with Mis-aligned Responses
Jaehyung Kim
Yiming Yang
42
7
0
26 Jun 2024
Efficient Evolutionary Search Over Chemical Space with Large Language Models
Efficient Evolutionary Search Over Chemical Space with Large Language Models
Haorui Wang
Marta Skreta
C. Ser
Wenhao Gao
Lingkai Kong
...
Yanqiao Zhu
Yuanqi Du
Alán Aspuru-Guzik
Kirill Neklyudov
Chao Zhang
37
11
0
23 Jun 2024
LLM2FEA: Discover Novel Designs with Generative Evolutionary
  Multitasking
LLM2FEA: Discover Novel Designs with Generative Evolutionary Multitasking
Melvin Wong
Jiao Liu
Thiago Rios
Stefan Menzel
Yew-Soon Ong
40
2
0
21 Jun 2024
An Investigation of Prompt Variations for Zero-shot LLM-based Rankers
An Investigation of Prompt Variations for Zero-shot LLM-based Rankers
Shuoqi Sun
Shengyao Zhuang
Shuai Wang
Guido Zuccon
40
5
0
20 Jun 2024
Large Language Models as Surrogate Models in Evolutionary Algorithms: A
  Preliminary Study
Large Language Models as Surrogate Models in Evolutionary Algorithms: A Preliminary Study
Hao Hao
Xiaoqun Zhang
Aimin Zhou
ELM
29
9
0
15 Jun 2024
Scaling Large Language Model-based Multi-Agent Collaboration
Scaling Large Language Model-based Multi-Agent Collaboration
Chen Qian
Zihao Xie
YiFei Wang
Wei Liu
Yufan Dang
...
Zhuoyun Du
Weize Chen
Cheng Yang
Zhiyuan Liu
Maosong Sun
AI4CE
LLMAG
LM&Ro
56
44
0
11 Jun 2024
Open-Endedness is Essential for Artificial Superhuman Intelligence
Open-Endedness is Essential for Artificial Superhuman Intelligence
Edward Hughes
Michael Dennis
Jack Parker-Holder
Feryal M. P. Behbahani
Aditi Mavalankar
Yuge Shi
Tom Schaul
Tim Rocktaschel
LRM
32
18
0
06 Jun 2024
Towards Hierarchical Multi-Agent Workflows for Zero-Shot Prompt Optimization
Towards Hierarchical Multi-Agent Workflows for Zero-Shot Prompt Optimization
Yuchi Liu
Jaskirat Singh
Gaowen Liu
Ali Payani
Liang Zheng
LLMAG
74
4
0
30 May 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
51
3
0
28 May 2024
Efficient multi-prompt evaluation of LLMs
Efficient multi-prompt evaluation of LLMs
Felipe Maia Polo
Ronald Xu
Lucas Weber
Mírian Silva
Onkar Bhardwaj
Leshem Choshen
Allysson Flavio Melo de Oliveira
Yuekai Sun
Mikhail Yurochkin
37
17
0
27 May 2024
Learning Beyond Pattern Matching? Assaying Mathematical Understanding in
  LLMs
Learning Beyond Pattern Matching? Assaying Mathematical Understanding in LLMs
Siyuan Guo
Aniket Didolkar
Nan Rosemary Ke
Anirudh Goyal
Ferenc Huszár
Bernhard Schölkopf
37
3
0
24 May 2024
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