Exploring the True Potential: Evaluating the Black-box Optimization
Capability of Large Language Models

Exploring the True Potential: Evaluating the Black-box Optimization Capability of Large Language Models

9 April 2024

Liang Feng

Ran Cheng

Kay Chen Tan

Papers citing "Exploring the True Potential: Evaluating the Black-box Optimization Capability of Large Language Models"

7 / 7 papers shown

Title
QM-ToT: A Medical Tree of Thoughts Reasoning Framework for Quantized Model Zongxian Yang Jiayu Qian Z. Huang Kay Chen Tan LM&MA LRM 31 0 0 13 Apr 2025
MOLLM: Multi-Objective Large Language Model for Molecular Design -- Optimizing with Experts Nian Ran Yue Wang Richard Allmendinger 75 0 0 18 Feb 2025
Language-Based Bayesian Optimization Research Assistant (BORA) A. Cissé Xenophon Evangelopoulos V. Gusev Andrew I. Cooper 41 0 0 28 Jan 2025
Deep Insights into Automated Optimization with Large Language Models and Evolutionary Algorithms He Yu Jiaheng Liu 46 2 0 28 Oct 2024
Large Language Models: A Survey Shervin Minaee Tomáš Mikolov Narjes Nikzad M. Asgari-Chenaghlu R. Socher Xavier Amatriain Jianfeng Gao ALM LM&MA ELM 131 369 0 09 Feb 2024
Evolutionary Computation in the Era of Large Language Model: Survey and Roadmap Xingyu Wu Sheng-hao Wu Jibin Wu Liang Feng Kay Chen Tan ELM 45 58 0 18 Jan 2024
LLM Performance Predictors are good initializers for Architecture Search Ganesh Jawahar Muhammad Abdul-Mageed L. Lakshmanan Dujian Ding LRM 45 18 0 25 Oct 2023