Imagen de Portada

Automated Reformulation of Robust Optimization via Memory-Augmented Large Language Models

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Chen, Jinbiao, Jin, Shuang, Zhang, Guoyun, Zhang, Junyu, Wang, Guanyi, Qin, Hanzhang
Formato:	Preprint
Publicado:	2026
Materias:	Artificial Intelligence
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Large Language Model enabled Mathematical Modeling
por: Zhang, Guoyun
Publicado: (2025)

Infeasibility Aware Large Language Models for Combinatorial Optimization
por: Wang, Yakun, et al.
Publicado: (2026)

LifeAlign: Lifelong Alignment for Large Language Models with Memory-Augmented Focalized Preference Optimization
por: Li, Junsong, et al.
Publicado: (2025)

Automated Construction of Medical Indicator Knowledge Graphs Using Retrieval Augmented Large Language Models
por: Wang, Zhengda, et al.
Publicado: (2025)

ROPO: Robust Preference Optimization for Large Language Models
por: Liang, Xize, et al.
Publicado: (2024)

Evolution of Kernels: Automated RISC-V Kernel Optimization with Large Language Models
por: Chen, Siyuan, et al.
Publicado: (2025)

RobustFT: Robust Supervised Fine-tuning for Large Language Models under Noisy Response
por: Luo, Junyu, et al.
Publicado: (2024)

Large-Scale Optimization Model Auto-Formulation: Harnessing LLM Flexibility via Structured Workflow
por: Liang, Kuo, et al.
Publicado: (2026)

MEMO: Memory-Augmented Model Context Optimization for Robust Multi-Turn Multi-Agent LLM Games
por: Xie, Yunfei, et al.
Publicado: (2026)

MMRAG: Multi-Mode Retrieval-Augmented Generation with Large Language Models for Biomedical In-Context Learning
por: Zhan, Zaifu, et al.
Publicado: (2025)

Automating Reformulation of Essence Specifications via Graph Rewriting
por: Miguel, Ian, et al.
Publicado: (2024)

Human-centric Reward Optimization for Reinforcement Learning-based Automated Driving using Large Language Models
por: Zhou, Ziqi, et al.
Publicado: (2024)

Planning of Heuristics: Strategic Planning on Large Language Models with Monte Carlo Tree Search for Automating Heuristic Optimization
por: Wang, Hui, et al.
Publicado: (2025)

Reformulation Techniques for Automated Planning: A Systematic Review
por: Alarnaouti, Diaeddin, et al.
Publicado: (2023)

Debate-to-Detect: Reformulating Misinformation Detection as a Real-World Debate with Large Language Models
por: Han, Chen, et al.
Publicado: (2025)

Learned-Rule-Augmented Large Language Model Evaluators
por: Meng, Jie, et al.
Publicado: (2025)

Large Language Models for the Automated Analysis of Optimization Algorithms
por: Sartori, Camilo Chacón, et al.
Publicado: (2024)

MindBridge: Scalable and Cross-Model Knowledge Editing via Memory-Augmented Modality
por: Li, Shuaike, et al.
Publicado: (2025)

AutoB2G: A Large Language Model-Driven Agentic Framework For Automated Building-Grid Co-Simulation
por: Zhang, Borui, et al.
Publicado: (2026)

MMUnlearner: Reformulating Multimodal Machine Unlearning in the Era of Multimodal Large Language Models
por: Huo, Jiahao, et al.
Publicado: (2025)

Unveiling and Manipulating Prompt Influence in Large Language Models
por: Feng, Zijian, et al.
Publicado: (2024)

Robust Prompt Optimization for Large Language Models Against Distribution Shifts
por: Li, Moxin, et al.
Publicado: (2023)

DVD: A Robust Method for Detecting Variant Contamination in Large Language Model Evaluation
por: Liang, Renzhao, et al.
Publicado: (2026)

Strategy-Augmented Planning for Large Language Models via Opponent Exploitation
por: Xu, Shuai, et al.
Publicado: (2025)

$δ$-mem: Efficient Online Memory for Large Language Models
por: Lei, Jingdi, et al.
Publicado: (2026)

Semi-supervised Fine-tuning for Large Language Models
por: Luo, Junyu, et al.
Publicado: (2024)

Unlocking the Potential of Large Language Models for Explainable Recommendations
por: Luo, Yucong, et al.
Publicado: (2023)

MemGuard: Preventing Memory Contamination in Long-Term Memory-Augmented Large Language Models
por: Ha, Hyeonjeong, et al.
Publicado: (2026)

MapAgent: Trajectory-Constructed Memory-Augmented Planning for Mobile Task Automation
por: Kong, Yi, et al.
Publicado: (2025)

Automated Data Visualization from Natural Language via Large Language Models: An Exploratory Study
por: Wu, Yang, et al.
Publicado: (2024)

An Information-Theoretic Framework for Robust Large Language Model Editing
por: Chen, Qizhou, et al.
Publicado: (2025)

Adversarial Style Augmentation via Large Language Model for Robust Fake News Detection
por: Park, Sungwon, et al.
Publicado: (2024)

Preference-Driven Multi-Objective Combinatorial Optimization with Conditional Computation
por: Fan, Mingfeng, et al.
Publicado: (2025)

RM-PoT: Reformulating Mathematical Problems and Solving via Program of Thoughts
por: Zhang, Yu, et al.
Publicado: (2025)

AutoSAT: Automatically Optimize SAT Solvers via Large Language Models
por: Sun, Yiwen, et al.
Publicado: (2024)

Invariant-based Robust Weights Watermark for Large Language Models
por: Guo, Qingxiao, et al.
Publicado: (2025)

Chain-of-Note: Enhancing Robustness in Retrieval-Augmented Language Models
por: Yu, Wenhao, et al.
Publicado: (2023)

Diversity-oriented Data Augmentation with Large Language Models
por: Wang, Zaitian, et al.
Publicado: (2025)

A Survey on the Memory Mechanism of Large Language Model based Agents
por: Zhang, Zeyu, et al.
Publicado: (2024)

Benchmarking Reasoning Robustness in Large Language Models
por: Yu, Tong, et al.
Publicado: (2025)