Large Language Model-Guided Optimization

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SynAct: A Reasoning-Acting Large Language Model Agent for Adaptive Synthesis Optimization
Aug 13, 2026Fangzhou Liu, Peiyi Han, Jiawei Liu +5Large Language Model-Guided Optimization Electronic Design Automation
Department of Computer Science and Engineering, The Chinese University of Hong Kong, Hong Kong SAR.
$\varepsilon$ -MemEvo: Adaptive Cross-Task Memory Transfer for LLM Program Evolution
Aug 12, 2026Aofan Liu, Shiyuan Song, Yiyan QiEvolutionary Optimization Large Language Model-Guided Optimization
EvoMem: Memory-Augmented Evolution for Code Optimization
Aug 11, 2026Viktor Volkov, Valentin Khrulkov, Andrey V. Galichin +8Memory-Augmented Language Models Evolutionary Optimization
AXXX, Moscow, Russia · Applied AI Institute, Moscow, Russia · Lomonosov Moscow State University, Moscow, Russia
Optimize Cheap, Deploy Strong: Cost-Aware Cross-Tier Transfer for Evolutionary Optimization
Aug 11, 2026Tal Oved, Roi Pony, Oshri Naparstek +1Evolutionary Optimization Large Language Model-Guided Optimization
IBM Research
RLMOpt: Adaptive Prompt Optimization via Recursive Language Models
Aug 11, 2026Subhash Bangalore Satheesha, Nirvik Pande, Deepthi Duddempudi +1Large Language Model-Guided Optimization LLM Agents
Autonomize AI · Carnegie Mellon University
ELMER: Evolutionary Language Model that Explores and Refines
Aug 10, 2026Matthew Siper, Ahmed Khalifa, Julian TogeliusLarge Language Model-Guided Optimization Genetic Programming
Nof1, New York University · Nof1, University of Malta
Rethinking Self-Evolving Agents: Do We Still Need Prescribed Optimization Pipelines?
Aug 10, 2026Hui Xue, Fan YangLarge Language Model-Guided Optimization Agent Harness Optimization
Microsoft Research
LLM-Guided Heuristic Design from Simulation Traces: A Case Study in Dynamic Production and AGV Scheduling
Aug 10, 2026Jinbo Li, Chuanhao LiAutomated Heuristic Design Large Language Model-Guided Optimization
Department of Industrial Engineering, Tsinghua University
Gaming Without an Attacker: Benchmark Fingerprinting in LLM-Driven Search Under Selection Pressure
Aug 9, 2026Víctor GallegoBenchmark Design Large Language Model-Guided Optimization
Komorebi AI Technologies
Janus: An Algorithm-Evaluator Co-Evolution Framework for LLM-Driven Discovery under Expensive Evaluation Budgets
Aug 8, 2026Ximeng Liu, Qianlong Wang, Yingming Mao +6Surrogate-Assisted Optimization Large Language Model-Guided Optimization
Shanghai Jiao Tong University, Shanghai, China · Baidu Inc., Beijing, China · Xi’an Jiaotong University, Xi’an, China +1
A Hybrid Nested Harness for Decoupling Structure and Parameters in LLM-Driven Optimization
Aug 8, 2026Víctor GallegoBlack-Box Optimization Large Language Model-Guided Optimization
Komorebi AI Technologies
Improving Constraint Models with LLM Agents
Aug 8, 2026Florentina Voboril, Stefan SzeiderLarge Language Model-Guided Optimization Combinatorial Optimization
Algorithms and Complexity Group TU Wien, Vienna, Austria
Effect of Abstractions and Prompting Strategies on LLM-Guided High-Performance Optimizations
Aug 8, 2026Jiří Klepl, Maty'aš Brabec, Martin KrulišHigh-Performance Computing Large Language Model-Guided Optimization
Charles University, Prague, Czech Republic
PACE: Primitive-Aware Code Evolution for Automated Algorithm Design
Aug 7, 2026Zhuoliang Xie, Ruihao Zheng, Xiang Xu +2Automated Algorithm Discovery Automated Heuristic Design
1Southern University of Science and Technology · 2Shenzhen University
Not All Problems Are Best Modeled as MILP: A DSL-Centric Framework for Flexible and Accurate Optimization Modeling
Aug 7, 2026Shaofeng Zhang, Hongyuan Su, Qingwen Peng +4Mixed-Integer Linear Programming Large Language Model-Guided Optimization
Southern University of Science and Technology, Shenzhen · Zhongguancun Academy, Beijing · Tsinghua University, Beijing +1
CEDAR: Agent-Orchestrated Tree Search for Goal-Directed Optimization of Complex Systems
Aug 7, 2026Yingtao TianArtificial Life Tree Search
Sakana AI, Tokyo, Japan
Evolving Parallel Algorithm Portfolios via Potential-Aware Instance Generation with LLMs
Aug 7, 2026Shaofeng Zhang, Shengcai Liu, Zhiyuan Wang +1Evolutionary Optimization Large Language Model-Guided Optimization
Guangdong Provincial Key Laboratory of Brain-Inspired Intelligent Computation, Department of Computer Science and Engineering, Southern University of Science and Technology, Shenzhen 518055, China · Zhongguancun Academy, Beijing 100094, China
HLSmith: An Expert-Guided Agentic Framework for C/C++-to-HLS Translation
Aug 7, 2026Yuebo Luo, Ahmad Sedigh Baroughi, Philip Stachura +4Code Translation Large Language Model-Guided Optimization
University of Minnesota Twin Cities · Simon Fraser University · Argonne National Laboratory
Progressive Content Refinement with Decaying Reward Joint LinUCB
Aug 7, 2026Shion Ishikawa, Pablo Loyola, Young-joo Chung +1LLM Self-Refinement Large Language Model-Guided Optimization
Rakuten Group, Inc. Tokyo, Japan · Rakuten Group, Inc. San Mateo, USA
The Optimizer Is the Agent: Reasoning-Driven Search across Prompts, Programs, and ML Workflows
Aug 7, 2026Junbo Li, Boyi Liu, Canwen Xu +5Large Language Model-Guided Optimization LLM Agent Workflow Optimization
The University of Texas at Austin · Snowflake
HarnessOpt-Bench: Evaluating LLMs at Harness Optimization
Aug 6, 2026Varun Ursekar, Apaar Shanker, Yash Maurya +4Large Language Model-Guided Optimization LLM Agent Evaluation
Scale AI
MicroEvo: Knowledge-Guided LLM Sampling for Efficient Microarchitecture Design Space Exploration
Aug 6, 2026Jia Xiong, Runkai Li, Chenxu Niu +11Evolutionary Optimization Multi-Objective Evolutionary Optimization
Southeast University · National Center of Technology Innovation for EDA · NVIDIA Corporation +4
Relay, Don't Route: Adaptive Population Handoff for Cost-Efficient LLM-Driven Evolution
Aug 6, 2026Sichun Luo, Yi Huang, Guanzhi Deng +6Multi-Fidelity Optimization Evolutionary Optimization
1The University of Hong Kong · 2JIUTIAN Research, China Mobile · 3City University of Hong Kong +1
Improving Auto-Design of Neural PDE Solvers with a Domain-Specific Language
Aug 5, 2026Shengxin Kong, Liwen Xu, Jingwen FuNeural PDE Solvers Large Language Model-Guided Optimization
School of Sciences, North China University of Technology, Beijing, China · Beijing Zhongguancun Academy, Beijing, China
COMPAS: Difficulty-Aware Joint Search for Optimizing Code Generation
Aug 5, 2026Jingzhi Gong, Jie M. Zhang, Gunel Jahangirova +3Large Language Model-Guided Optimization Code Generation
King’s College London, University of London · National University of Singapore · University College London, University of London
Can Large Language Models Recover Semantic Optimization Opportunities That Compilers Miss?
Aug 4, 2026Hailong Jiang, Feng Yu, Emran Hossain +4Large Language Model-Guided Optimization
School of Computer Science, Information, and Engineering Technology, Youngstown State University · Department of Computer Science, Kent State University · Department of Computer Science, Baylor University +1
MuEvo: LLM-Driven Evolution of Multi-Heuristic Ensemble
Aug 4, 2026Haoze Lv, Ning Lu, Shengcai Liu +2Automated Heuristic Design Evolutionary Optimization
Guangdong Provincial Key Laboratory of Brain-Inspired Intelligent Computation, Department of Computer Science and Engineering, Southern University of Science and Technology, Shenzhen 518055, China · The Hong Kong University of Science and Technology
Large language models for partial differential equation workflows
Aug 4, 2026Han Wan, Rui Zhang, Hao SunPDE Discovery Large Language Model-Guided Optimization
Gaoling School of Artificial Intelligence, Renmin University of China, Beijing 100872, China
Beyond Average Performance: Dynamic Instance Clustering and Specialized Algorithm Design in LLM-Assisted Evolutionary Search
Aug 4, 2026Qinglong Hu, Qingfu Zhang, Fei Liu +3Algorithm Selection Automated Algorithm Discovery
Department of Computer Science, City University of Hong Kong, Hong Kong, China · Huawei Noah’s Ark Lab, China
FLARE: Few-shot Learning-based Adaptive Reflective Engine
Aug 3, 2026Dhanasekar Sundararaman, Bharat Gandhi, Aashna Garg +1LLM Prompting Large Language Model-Guided Optimization
Microsoft Redmond, WA, USA

Aug 13, 2026, cs.ARJ/K move · Enter open · S save

SynAct: A Reasoning-Acting Large Language Model Agent for Adaptive Synthesis Optimization

Fangzhou Liu, Peiyi Han, Jiawei Liu, Yuan Pu+4

Department of Computer Science and Engineering, The Chinese University of Hong Kong, Hong Kong SAR.

Large Language Model-Guided Optimization Electronic Design Automation LLM Agent Planning

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Logic synthesis transforms RTL designs into gate-level netlists, where PPA results are highly sensitive to the choice of optimization commands, making synthesis tuning both high-dimensional and expensive. Previous approaches fall into two categories: automated methods, which perform black-box search over fixed action spaces with limited decision-level interpretability, and LLM-based methods, which typically generate static scripts upfront and cannot adapt to evolving circuit states. We present SynAct, an adaptive closed-loop LLM reasoning--acting agent that iteratively diagnoses live synthesis reports and reasons over the current circuit state, retrieved tool knowledge, and historical optimization experience to issue targeted commands. SynAct focuses on improving timing, particularly worst negative slack (WNS), while maintaining balanced area and power trade-offs. Experiments on a commercial synthesis tool across 14 designs show that SynAct reduces average WNS to 27% of that from bootstrap synthesis.

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