Copertina

From Natural Language to Solver-Ready Power System Optimization: An LLM-Assisted, Validation-in-the-Loop Framework

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Hu, Yunkai, Zhao, Tianqiao, Yue, Meng
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Artificial Intelligence
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Diffusion Model-based Parameter Estimation in Dynamic Power Systems
di: Zhu, Feiqin, et al.
Pubblicazione: (2024)

Natural Language-Assisted Multi-modal Medication Recommendation
di: Tan, Jie, et al.
Pubblicazione: (2025)

From Agent Loops to Structured Graphs:A Scheduler-Theoretic Framework for LLM Agent Execution
di: Wei, Hu
Pubblicazione: (2026)

OptimAI: Optimization from Natural Language Using LLM-Powered AI Agents
di: Thind, Raghav, et al.
Pubblicazione: (2025)

Solver-Aided Expansion of Loops to Avoid Generate-and-Test
di: Dewally, Niklas, et al.
Pubblicazione: (2025)

LLM-Assist: Enhancing Closed-Loop Planning with Language-Based Reasoning
di: Sharan, S P, et al.
Pubblicazione: (2023)

GOLD: Geometry Problem Solver with Natural Language Description
di: Zhang, Jiaxin, et al.
Pubblicazione: (2024)

AutoPBO: LLM-powered Optimization for Local Search PBO Solvers
di: Li, Jinyuan, et al.
Pubblicazione: (2025)

Formalize, Don't Optimize: The Heuristic Trap in LLM-Generated Combinatorial Solvers
di: Wang, Haoyu, et al.
Pubblicazione: (2026)

From Natural Language to SQL: Review of LLM-based Text-to-SQL Systems
di: Mohammadjafari, Ali, et al.
Pubblicazione: (2024)

Human-in-the-Loop Control of Objective Drift in LLM-Assisted Computer Science Education
di: Dranias, Mark, et al.
Pubblicazione: (2026)

NaSh: Guardrails for an LLM-Powered Natural Language Shell
di: Gyawali, Bimal Raj, et al.
Pubblicazione: (2025)

Expediting and Elevating Large Language Model Reasoning via Hidden Chain-of-Thought Decoding
di: Liu, Tianqiao, et al.
Pubblicazione: (2024)

Large Language Models as End-to-end Combinatorial Optimization Solvers
di: Jiang, Xia, et al.
Pubblicazione: (2025)

AutoSiMP: Autonomous Topology Optimization from Natural Language via LLM-Driven Problem Configuration and Adaptive Solver Control
di: Yang, Shaoliang, et al.
Pubblicazione: (2026)

X-GridAgent: An LLM-Powered Agentic AI System for Assisting Power Grid Analysis
di: Yihan, et al.
Pubblicazione: (2025)

A Solver-in-the-Loop Framework for Improving LLMs on Answer Set Programming for Logic Puzzle Solving
di: Schrader, Timo Pierre, et al.
Pubblicazione: (2025)

Advanced Tool Learning and Selection System (ATLASS): A Closed-Loop Framework Using LLM
di: Haque, Mohd Ariful, et al.
Pubblicazione: (2025)

Who Validates the Validators? Aligning LLM-Assisted Evaluation of LLM Outputs with Human Preferences
di: Shankar, Shreya, et al.
Pubblicazione: (2024)

An LLM-Based Digital Twin for Optimizing Human-in-the Loop Systems
di: Yang, Hanqing, et al.
Pubblicazione: (2024)

PowerGraph-LLM: Novel Power Grid Graph Embedding and Optimization with Large Language Models
di: Bernier, Fabien, et al.
Pubblicazione: (2025)

LLINBO: Trustworthy LLM-in-the-Loop Bayesian Optimization
di: Chang, Chih-Yu, et al.
Pubblicazione: (2025)

From Subsumption to Satisfiability: LLM-Assisted Active Learning for OWL Ontologies
di: Zhao, Haoruo, et al.
Pubblicazione: (2026)

VELO: A Vector Database-Assisted Cloud-Edge Collaborative LLM QoS Optimization Framework
di: Yao, Zhi, et al.
Pubblicazione: (2024)

An LLM-powered Natural-to-Robotic Language Translation Framework with Correctness Guarantees
di: Chen, ZhenDong, et al.
Pubblicazione: (2025)

COGNITION: From Evaluation to Defense against Multimodal LLM CAPTCHA Solvers
di: Wang, Junyu, et al.
Pubblicazione: (2025)

Solver-Informed RL: Grounding Large Language Models for Authentic Optimization Modeling
di: Chen, Yitian, et al.
Pubblicazione: (2025)

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

Hyperparameter Optimization of Constraint Programming Solvers
di: Haddad, Hedieh, et al.
Pubblicazione: (2026)

Advancing Mathematical Reasoning in Language Models: The Impact of Problem-Solving Data, Data Synthesis Methods, and Training Stages
di: Chen, Zui, et al.
Pubblicazione: (2025)

DISCO: Efficient Diffusion Solver for Large-Scale Combinatorial Optimization Problems
di: Zhao, Hang, et al.
Pubblicazione: (2024)

ParLS-PBO: A Parallel Local Search Solver for Pseudo Boolean Optimization
di: Chen, Zhihan, et al.
Pubblicazione: (2024)

Ready Jurist One: Benchmarking Language Agents for Legal Intelligence in Dynamic Environments
di: Jia, Zheng, et al.
Pubblicazione: (2025)

PrefixAgent: An LLM-Powered Design Framework for Efficient Prefix Adder Optimization
di: Zuo, Dongsheng, et al.
Pubblicazione: (2025)

A LLM-Powered Automatic Grading Framework with Human-Level Guidelines Optimization
di: Chu, Yucheng, et al.
Pubblicazione: (2024)

Joint Optimization of Prompt Security and System Performance in Edge-Cloud LLM Systems
di: Huang, Haiyang, et al.
Pubblicazione: (2025)

SpecDB: LLM-Generated Customized Databases via Feature-Oriented Decomposition
di: Lou, Yunkai, et al.
Pubblicazione: (2026)

Loop as a Bridge: Can Looped Transformers Truly Link Representation Space and Natural Language Outputs?
di: Chen, Guanxu, et al.
Pubblicazione: (2026)

From Navigation to Refinement: Revealing the Two-Stage Nature of Flow-based Diffusion Models through Oracle Velocity
di: Liu, Haoming, et al.
Pubblicazione: (2025)

Natural Language Fine-Tuning
di: Liu, Jia, et al.
Pubblicazione: (2024)