EA4LLM: A Gradient-Free Approach to Large Language Model Optimization via Evolutionary Algorithms
Fuente:
arXiv
Guardado en:
| Autores principales: | Liu, WenTao, Song, Siyu, Hao, Hao, Zhou, Aimin |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Echo: A Large Language Model with Temporal Episodic Memory
por: Liu, WenTao, et al.
Publicado: (2025)
por: Liu, WenTao, et al.
Publicado: (2025)
Can Large Language Models Be Trusted as Evolutionary Optimizers for Network-Structured Combinatorial Problems?
por: Zhao, Jie, et al.
Publicado: (2025)
por: Zhao, Jie, et al.
Publicado: (2025)
Evolutionary Retrosynthetic Route Planning
por: Zhang, Yan, et al.
Publicado: (2023)
por: Zhang, Yan, et al.
Publicado: (2023)
Automating Skill Acquisition through Large-Scale Mining of Open-Source Agentic Repositories: A Framework for Multi-Agent Procedural Knowledge Extraction
por: Bi, Shuzhen, et al.
Publicado: (2026)
por: Bi, Shuzhen, et al.
Publicado: (2026)
IB-GRPO: Aligning LLM-based Learning Path Recommendation with Educational Objectives via Indicator-Based Group Relative Policy Optimization
por: Wang, Shuai, et al.
Publicado: (2026)
por: Wang, Shuai, et al.
Publicado: (2026)
Large Language Models as Surrogate Models in Evolutionary Algorithms: A Preliminary Study
por: Hao, Hao, et al.
Publicado: (2024)
por: Hao, Hao, et al.
Publicado: (2024)
Deep Insights into Automated Optimization with Large Language Models and Evolutionary Algorithms
por: Yu, He, et al.
Publicado: (2024)
por: Yu, He, et al.
Publicado: (2024)
Scaling Laws for Educational AI Agents
por: Wu, Mengsong, et al.
Publicado: (2026)
por: Wu, Mengsong, et al.
Publicado: (2026)
GeM-EA: A Generative and Meta-learning Enhanced Evolutionary Algorithm for Streaming Data-Driven Optimization
por: Wu, Yue, et al.
Publicado: (2026)
por: Wu, Yue, et al.
Publicado: (2026)
Structure-Aware Cooperative Ensemble Evolutionary Optimization on Combinatorial Problems with Multimodal Large Language Models
por: Zhao, Jie, et al.
Publicado: (2025)
por: Zhao, Jie, et al.
Publicado: (2025)
LLM-Virus: Evolutionary Jailbreak Attack on Large Language Models
por: Yu, Miao, et al.
Publicado: (2024)
por: Yu, Miao, et al.
Publicado: (2024)
Hard vs. Noise: Resolving Hard-Noisy Sample Confusion in Recommender Systems via Large Language Models
por: Song, Tianrui, et al.
Publicado: (2025)
por: Song, Tianrui, et al.
Publicado: (2025)
EvoAgent: Towards Automatic Multi-Agent Generation via Evolutionary Algorithms
por: Yuan, Siyu, et al.
Publicado: (2024)
por: Yuan, Siyu, et al.
Publicado: (2024)
See and Remember: A Multimodal Agent for Web Traversal
por: Wang, Xinjun, et al.
Publicado: (2026)
por: Wang, Xinjun, et al.
Publicado: (2026)
Evolutionary Discovery of Reinforcement Learning Algorithms via Large Language Models
por: Sygkounas, Alkis, et al.
Publicado: (2026)
por: Sygkounas, Alkis, et al.
Publicado: (2026)
A2DEPT: Large Language Model-Driven Automated Algorithm Design via Evolutionary Program Trees
por: Chen, Bin, et al.
Publicado: (2026)
por: Chen, Bin, et al.
Publicado: (2026)
Large Language Model-Driven Surrogate-Assisted Evolutionary Algorithm for Expensive Optimization
por: Xie, Lindong, et al.
Publicado: (2025)
por: Xie, Lindong, et al.
Publicado: (2025)
Cultivating Helpful, Personalized, and Creative AI Tutors: A Framework for Pedagogical Alignment using Reinforcement Learning
por: Song, Siyu, et al.
Publicado: (2025)
por: Song, Siyu, et al.
Publicado: (2025)
LLM4AD: A Platform for Algorithm Design with Large Language Model
por: Liu, Fei, et al.
Publicado: (2024)
por: Liu, Fei, et al.
Publicado: (2024)
Large Language Model-Based Evolutionary Optimizer: Reasoning with elitism
por: Brahmachary, Shuvayan, et al.
Publicado: (2024)
por: Brahmachary, Shuvayan, et al.
Publicado: (2024)
An Evolutionary Framework for Automatic Optimization Benchmark Generation via Large Language Models
por: Ono, Yuhiro, et al.
Publicado: (2026)
por: Ono, Yuhiro, et al.
Publicado: (2026)
DynamicRouteGPT: A Real-Time Multi-Vehicle Dynamic Navigation Framework Based on Large Language Models
por: Zhou, Ziai, et al.
Publicado: (2024)
por: Zhou, Ziai, et al.
Publicado: (2024)
Large Language Model Enhanced Hard Sample Identification for Denoising Recommendation
por: Song, Tianrui, et al.
Publicado: (2024)
por: Song, Tianrui, et al.
Publicado: (2024)
EvolVE: Evolutionary Search for LLM-based Verilog Generation and Optimization
por: Hsin, Wei-Po, et al.
Publicado: (2026)
por: Hsin, Wei-Po, et al.
Publicado: (2026)
LLM-KT: Aligning Large Language Models with Knowledge Tracing using a Plug-and-Play Instruction
por: Wang, Ziwei, et al.
Publicado: (2025)
por: Wang, Ziwei, et al.
Publicado: (2025)
GlitchMiner: Mining Glitch Tokens in Large Language Models via Gradient-based Discrete Optimization
por: Wu, Zihui, et al.
Publicado: (2024)
por: Wu, Zihui, et al.
Publicado: (2024)
GWQ: Gradient-Aware Weight Quantization for Large Language Models
por: Shao, Yihua, et al.
Publicado: (2024)
por: Shao, Yihua, et al.
Publicado: (2024)
Reasoning Matters: Mitigate Hallucination in Multimodal Large Reasoning Models via Reasoning-Conditioned Preference Optimization
por: Kong, Jiawei, et al.
Publicado: (2026)
por: Kong, Jiawei, et al.
Publicado: (2026)
Agentmandering: A Game-Theoretic Framework for Fair Redistricting via Large Language Model Agents
por: Li, Hao, et al.
Publicado: (2025)
por: Li, Hao, et al.
Publicado: (2025)
LLM-Explorer: A Plug-in Reinforcement Learning Policy Exploration Enhancement Driven by Large Language Models
por: Hao, Qianyue, et al.
Publicado: (2025)
por: Hao, Qianyue, et al.
Publicado: (2025)
Solver-Informed RL: Grounding Large Language Models for Authentic Optimization Modeling
por: Chen, Yitian, et al.
Publicado: (2025)
por: Chen, Yitian, et al.
Publicado: (2025)
Model Uncertainty in Evolutionary Optimization and Bayesian Optimization: A Comparative Analysis
por: Hao, Hao, et al.
Publicado: (2024)
por: Hao, Hao, et al.
Publicado: (2024)
Large Language Model for Multi-objective Evolutionary Optimization
por: Liu, Fei, et al.
Publicado: (2023)
por: Liu, Fei, et al.
Publicado: (2023)
Investigating and Mitigating Object Hallucinations in Pretrained Vision-Language (CLIP) Models
por: Liu, Yufang, et al.
Publicado: (2024)
por: Liu, Yufang, et al.
Publicado: (2024)
Signal-Adaptive Trust Regions for Gradient-Free Optimization of Recurrent Spiking Neural Networks
por: Li, Jinhao, et al.
Publicado: (2026)
por: Li, Jinhao, et al.
Publicado: (2026)
Entropy-Gated Selective Policy Optimization:Token-Level Gradient Allocation for Hybrid Training of Large Language Models
por: Hu, Yuelin, et al.
Publicado: (2026)
por: Hu, Yuelin, et al.
Publicado: (2026)
Large Language Models for the Automated Analysis of Optimization Algorithms
por: Sartori, Camilo Chacón, et al.
Publicado: (2024)
por: Sartori, Camilo Chacón, et al.
Publicado: (2024)
PhenoMoler: Phenotype-Guided Molecular Optimization via Chemistry Large Language Model
por: Song, Ran, et al.
Publicado: (2025)
por: Song, Ran, et al.
Publicado: (2025)
LLaMEA: A Large Language Model Evolutionary Algorithm for Automatically Generating Metaheuristics
por: van Stein, Niki, et al.
Publicado: (2024)
por: van Stein, Niki, et al.
Publicado: (2024)
UrbanKGent: A Unified Large Language Model Agent Framework for Urban Knowledge Graph Construction
por: Ning, Yansong, et al.
Publicado: (2024)
por: Ning, Yansong, et al.
Publicado: (2024)
Ejemplares similares
-
Echo: A Large Language Model with Temporal Episodic Memory
por: Liu, WenTao, et al.
Publicado: (2025) -
Can Large Language Models Be Trusted as Evolutionary Optimizers for Network-Structured Combinatorial Problems?
por: Zhao, Jie, et al.
Publicado: (2025) -
Evolutionary Retrosynthetic Route Planning
por: Zhang, Yan, et al.
Publicado: (2023) -
Automating Skill Acquisition through Large-Scale Mining of Open-Source Agentic Repositories: A Framework for Multi-Agent Procedural Knowledge Extraction
por: Bi, Shuzhen, et al.
Publicado: (2026) -
IB-GRPO: Aligning LLM-based Learning Path Recommendation with Educational Objectives via Indicator-Based Group Relative Policy Optimization
por: Wang, Shuai, et al.
Publicado: (2026)