Large Language Model-Guided Optimization

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66 papers in the last four weeks, up 214% on the four weeks before. 0.7% of all new papers.

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  1. Agentic AutoRAG: RAG Pipeline Optimization through Reasoning-Driven Agents

    Oct 6, 2026Lasse B. Strand, Robert Jakob, Kevin O'Sullivan +1Retrieval-Augmented GenerationLarge Language Model-Guided Optimization

    ETH Zurich

  2. CACHEFORGE: LLM-Guided End-to-End Generative Cache Replacement Policy for Performance and Hardware Efficiency

    Oct 6, 2026Kaushal Mhapsekar, Bita Aslrousta, Brijesh Kumar Bhayana +5Large Language Model-Guided OptimizationLLM-Based Program Synthesis

    Department of Electrical and Computer Engineering North Carolina State University, Raleigh, NC, USA

  3. Evolving in Thought Space: Training a Small Model at Test Time Unlocks Better Discoveries

    Oct 5, 2026Chonghe Jiang, Ao Qu, Siyuan Liu +9Large Language Model-Guided OptimizationTest-Time RL

    Massachusetts Institute of Technology · Singapore-MIT Alliance for Research and Technology · Hong Kong Polytechnic University +6

  4. DP-ES: Differentially Private Evolution Strategies for Prompt Optimization

    Oct 5, 2026Ziniu Liu, Aiping Li, Yue Han +5Large Language Model-Guided OptimizationEvolution Strategies

    National University of Defense Technology · CRRC Zhuzhou Electric Locomotive Research Institute Co., Ltd., China Academy of Railway Sciences

  5. Bridging the Evidence-to-Execution Gap:A Reflective Agent for Multi-Objective Peptide Design

    Oct 5, 2026Haosen Zhang, Yang YangAI Agents for Scientific DiscoveryLarge Language Model-Guided Optimization

    School of Agriculture and Biology, Shanghai Jiao Tong University · School of Computer Science, Shanghai Jiao Tong University

  6. Discovered, Not Designed: Population Evolution for Collaborative and Compute-Intensive Model Discovery

    Oct 5, 2026Bo Peng, Lizhu Zhang, Yuhang Zhou +5Automated Algorithm DiscoveryEvolutionary Optimization

    Meta

  7. PharmAgent: Constraint-Aware Search with Frozen Language Models for Molecular Optimization

    Oct 4, 2026Nihui Shao, Guanxing Chen, Jilong Shi +6Molecular OptimizationLarge Language Model-Guided Optimization

    City University of Hong Kong (Dongguan) · The Hong Kong Polytechnic University · Tencent AI Lab +2

  8. Fusion is the New Mutation: Bandit-Guided Evolution on Workflow Graphs

    Oct 4, 2026Zhiwei Shang, Jiahang Sun, Mingrong Gong +9Large Language Model-Guided OptimizationAgentic Workflows

    School of Data Science, The Chinese University of Hong Kong, Shenzhen, China · College of Computing and Data Science, Nanyang Technological University, Singapore · Huawei Technologies Co., Ltd., China +1

  9. SparseCraft: Agentic Hardware-Software Co-Optimization for Sparse Computing

    Oct 4, 2026Rajatabha Chakraborty, M P Samartha, Vedant Pahariya +1Efficient Neural Network InferenceLarge Language Model-Guided Optimization

    International Institute of Information Technology, Hyderabad, India

  10. Grounding Large Language Models in DSGE Simulators for Policy Generation and Forecasting

    Oct 1, 2026Aditya Dubey, Namah Gupta, Vinti AgarwalRL for Language ModelsLarge Language Model-Guided Optimization

    Birla Institute of Technology and Science, Pilani, India

  11. AbsorbEvo: An Agentic Framework for Autonomous Inverse Design of Microwave Absorbers

    Oct 1, 2026Zhicheng Feng, Yubo Zhao, Xuefeng YaoLarge Language Model-Guided OptimizationNatural Language to Optimization Modeling

    Department of Engineering Mechanics, Applied Mechanics Lab, Tsinghua University, Beijing 100084, P. R. China

  12. OR for AI That Does OR: Routing LLMs up the Escalator inside the OSCAR Framework

    Oct 1, 2026Jinzhi Bu, Haixin Tang, Huanan ZhangLarge Language Model-Guided OptimizationOptimal Stopping

    Department of Logistics and Maritime Studies, The Hong Kong Polytechnic University, Hong Kong · Leeds School of Business, University of Colorado Boulder, Boulder, CO, 80309, USA

  13. HakiCC: LLM-Driven Multi-Agent Design and Optimization of Concurrency Control Protocols

    Oct 1, 2026Farzad Habibi, Juncheng Fang, Faisal NawabLarge Language Model-Guided OptimizationLLM-Based Program Synthesis

    University of California, Irvine

  14. Initialization Improves LLM-Driven Discovery

    Sep 30, 2026Mansi Sakarvadia, Marco Ciccone, Colin RaffelLarge Language Model-Guided OptimizationLarge Language Model-Guided Scientific Discovery

    University of Chicago · Vector Institute · University of Toronto

  15. Learning from Research: Toward Lifelong Agent Harness Evolution

    Sep 30, 2026Jingbo Yang, Kwei-Herng Lai, Xiaowen Wang +3Large Language Model-Guided OptimizationLifelong Learning Agents

    University of California, Santa Barbara · Microsoft

  16. ConflictGuide: AutoResearch Improves When Competing Behaviors Are Made Visible

    Sep 30, 2026Binqian Xu, Qiran Zou, Xiangbo Shu +1Large Language Model-Guided OptimizationSelf-Improving Agents

    National University of Singapore · Nanjing University of Science and Technology

  17. Right Answers, Costly Models: The Efficiency Gap in LLM-based Optimization Modeling

    Sep 30, 2026Zhong Li, Xin Huang, Jinhui Wan +6LLM EvaluationLarge Language Model-Guided Optimization

    Great Bay University · Beijing Jiaotong University · Beihang University +1

  18. Adaptive-GEPA: Make Your Harness Fit Heterogeneous Requests

    Sep 30, 2026Tianyu Chen, Yasi Zhang, Ruiyi Wang +3Large Language Model-Guided OptimizationLLM-Based Program Synthesis

    University of Texas at Austin · University of California, Los Angeles · University of California, San Diego +3

  19. Self-Evolving Algorithm-Design Agents: Escaping In-Context Evolutionary Stagnation via Population-Curated Policy Optimization

    Sep 30, 2026Chen Lu, Ke Xue, Siyuan Xu +2Automated Algorithm DiscoveryLarge Language Model-Guided Optimization

    State Key Laboratory of Novel Software Technology, Nanjing University, China · School of Artificial Intelligence, Nanjing University, China · Huawei Noah’s Ark Lab, China

  20. Component-Aware Feedback for Self-Evolving Programs

    Sep 29, 2026Ethan Lin, Jinming Nian, Yi FangLarge Language Model-Guided OptimizationLLM-Based Program Synthesis

    Santa Clara University

  21. AIM: Agentic Idea Management for Automated Research

    Sep 29, 2026Hyeong Kyu Choi, Bhavana Dalvi Mishra, Jiefeng Chen +7Large Language Model-Guided OptimizationLarge Language Model-Guided Scientific Discovery

    Google Cloud AI Research · University of Wisconsin-Madison

  22. TACIT: Optimization Models that Learn from Their Mistakes

    Sep 29, 2026Maxime Bouscary, Marco Molinaro, Sirui Li +3Large Language Model-Guided Optimization

    Massachusetts Institute of Technology, Cambridge, MA, USA · Microsoft Research, Redmond, WA, USA

  23. Is manual software optimization a thing of the past?

    Sep 29, 2026Pavlin G. Poličar, Martin Špendl, Tomaž HočevarSoftware Engineering AgentsAutomated Algorithm Discovery

    Faculty of Computer and Information Science University of Ljubljana Večna pot 113, 1000 Ljubljana, Slovenia

  24. SemOPT: Fixing Semantic Errors in LLM-based Optimization Modeling via Reward-Guided Search

    Sep 29, 2026Zetong Zhou, Wentao Zhang, Jingyuan Wang +3Language Model Error DetectionLarge Language Model-Guided Optimization

    School of Computer Science and Engineering, Beihang University, Beijing, China · MIIT Key Laboratory of Data and Decision Intelligence, Beihang University, Beijing, China · School of Data Science, The Chinese University of Hong Kong, Shenzhen, China +1

  25. Teaching LLMs to Generate Challenging MILP Instances via Solver Feedback

    Sep 29, 2026Jitin Singla, Parikshit Pareek, Pratik Jawanpuria +1Mixed-Integer Linear ProgrammingLarge Language Model-Guided Optimization

    IIT Roorkee · IIT Bombay · IIT Delhi

  26. OptiCom : A Unified Framework for State-Conditioned Composition in LLM-Driven Optimization

    Sep 29, 2026Chenxing Wei, Sichen Liu, Lizhao Liu +6Large Language Model-Guided OptimizationTest-Time Scaling

    School of Computing and Data Science, The University of Hong Kong · Shenzhen Loop Area Institute · ByteDance +3

  27. SimpleEvol: An Agent-Loop Framework for LLM-Driven Automated Heuristic Design with Minimal Human Priors

    Sep 29, 2026Jianghan Zhu, Cong Zhang, Rongjie Zhu +2Automated Heuristic DesignLarge Language Model-Guided Optimization

    School of Computing and Information Systems, Singapore Management University, Singapore · Independent Researcher · School of Teacher Education, Nanjing University of Information Science and Technology, China +1

  28. SkillCome: Group Contrast Skill Optimization with Dual Memory

    Sep 29, 2026Haolin Li, Feng Hong, Ang Li +6Large Language Model-Guided OptimizationLLM Agent Skill Learning

    Fudan University · Ant Group · Shanghai Jiao Tong University

  29. AI as a Compiler: Compiling Triton kernels without the Triton compiler

    Sep 29, 2026François Costa, Charly Castes, Thomas Bourgeat +1GPU Kernel OptimizationLarge Language Model-Guided Optimization

    Stanford University · EPFL

  30. BiFE: Search-Efficient Discovery of CPU-Only Branching Policies via LLM-based Bi-Fidelity Evolution

    Sep 29, 2026Ce Zhang, Bin Zhang, Zhiwei Xu +5Multi-Fidelity OptimizationAutomated Algorithm Discovery

    Institute of Automation, Chinese Academy of Sciences · School of Artificial Intelligence, University of Chinese Academy of Sciences · Shandong University

  31. AutoRef: Harness Optimization for Agentic Multi-Reference Image Generation

    Sep 28, 2026Yuta Oshima, Ku Onoda, Yusuke Iwasawa +3Large Language Model-Guided OptimizationImage Generation

    The University of Tokyo

  32. QuantForge: Discovering Residual Decompositions for MXFP4 Post-Training Quantization

    Sep 28, 2026Qiulin Shang, Zhoutong Wu, Jie Hu +1LLM QuantizationLarge Language Model-Guided Optimization

    Peking University

  33. M3OS: A Monte Carlo Graph Search-Orchestrated Multi-Agent LLM System for Evidence-Traced Molecular Optimization

    Sep 28, 2026Junjie Wang, Yaowei Jin, Ruohui Tang +7Molecular OptimizationMulti-Agent LLM Systems

    Lingang Laboratory, Shanghai, 200031, China. · School of Information Science and Technology, ShanghaiTech University, Shanghai, 201210, China. · Global Institute of Future Technology, Shanghai Jiao Tong University, Shanghai, 200240, China.

  34. LLMs as Adaptive Meta-Solvers: Strategy-Diverse RL for Industrial-Scale Optimization

    Sep 28, 2026Shihao Zhang, Weiting Liu, Siyu Shao +4Algorithm SelectionReinforcement Learning

    East China Normal University · Alibaba Group · Fudan University +4

  35. Agentic High-Dimensional Bayesian Optimization with Hypothesis- and Evidence-Guided Search

    Sep 28, 2026Zhixuan Gao, Ke Xue, Rongxi Tan +2Algorithm SelectionBayesian Optimization

    State Key Laboratory of Novel Software Technology, Nanjing University · School of Artificial Intelligence, Nanjing University

  36. Direct Self-Evolving Optimization: Evolving LLMs without Challenger Training

    Sep 28, 2026Yuyang Deng, Yu Wang, Jiayun WangSelf-Training for Language ModelsLarge Language Model-Guided Optimization

    Accenture, Center for Advanced AI · Georgia Institute of Technology

  37. Towards Certificate-Driven Software Porting: A Self-Improving Agentic Harness for Scientific Program Optimization

    Sep 28, 2026Piyush Jha, Aishik Ghosh, Vijay GaneshCode TranslationGPU Kernel Optimization

    School of Computer Science, Georgia Institute of Technology, USA · School of Physics, Georgia Institute of Technology, USA · Lawrence Berkeley National Laboratory, USA

  38. BOReFT: Manifold Steering of Language Models for Black-box Optimization

    Sep 27, 2026Dhruv Agarwal, Rico Angell, Kavitha Srinivas +4Bayesian OptimizationLarge Language Model-Guided Optimization

    University of Massachusetts Amherst · New York University · IBM Research +1

  39. Large Language Models for Model-Based Robot Design

    Sep 27, 2026Andrew Wilhelm, Angelina Zhao, Nils NappLarge Language Model-Guided OptimizationRobotics

    Department of Electrical and Computer Engineering, Cornell University, Ithaca, NY, 14850, United States

  40. KernelOPT: Dispatch-Aware Agentic Search for GPU Kernel Optimization

    Sep 24, 2026Aheli Poddar, Sanskar Prasad, Arindam Samanta +3GPU Kernel OptimizationAgentic Search

    Red Hat

  41. Evolving Inspectable O-RAN Slicing xApps with LLMs

    Sep 23, 2026Faezeh Dehghan Tarzjani, Bhaskar KrishnamachariLarge Language Model-Guided OptimizationLLM-Based Program Synthesis

    Department of Electrical and Computer Engineering, University of Southern California

  42. Combining LLMs and Genetic Search for ARC-AGI-2

    Sep 23, 2026Val DyachenkoLarge Language Model-Guided OptimizationGenetic Programming

  43. ClusterFewshot: Improving Few-shot Optimization for LLMs workflow

    Sep 22, 2026Omri Bar Haim, Shahar Katz, Lior WolfIn-Context Example SelectionLarge Language Model-Guided Optimization

    Blavatnik School of Computer Science, Tel Aviv University

  44. AgenticSizing: A Large Language Model-based Multi-Agent Framework for Analog Circuit Sizing

    Sep 22, 2026Yijia Hao, Pratibha Verma, Dongxu Guo +4Large Language Model-Guided OptimizationElectronic Design Automation

    Centre for Electronics Frontiers, Institute for Integrated Micro and Nano Systems, School of Engineering, The University of Edinburgh, UK · Department of Electrical Engineering, Indian Institute of Technology Indore, India · School of Informatics, The University of Edinburgh, UK +1

  45. Direct Optimization of Generators for Search in Automated Theorem Proving

    Sep 22, 2026Adam Ousherovitch, Ambuj TewariInference-Time SearchAutomated Theorem Proving

    Department of Statistics University of Michigan

  46. STEVE: Stabilizing Textual Gradient-Based Prompt Optimization via Error-Driven Refinement and Regularized Verification

    Sep 20, 2026Yifan Xu, Yixuan Li, Xinzhuo Li +4Large Language Model-Guided OptimizationAutomatic Prompt Optimization

    University of Illinois Urbana-Champaign · Google DeepMind

  47. Large Language Models as Falsifiers for Cyber-Physical Systems

    Sep 17, 2026Ali ArjomandBigdeli, Jiawei Zhou, Stanley BakCyber-Physical SystemsLarge Language Model-Guided Optimization

    Stony Brook University, Stony Brook, New York, USA

  48. Evolution or Illusion? Rethinking Evaluation in LLM Evolutionary Search

    Sep 17, 2026Tal Oved, Roi Pony, Oshri Naparstek +1Evolutionary OptimizationLarge Language Model-Guided Optimization

    IBM Research

  49. AutoData: Agentic Search for Pre-training Data Selection

    Sep 17, 2026Yan Meng, Dhruv Srikanth, Bingchen Zhao +2Language Model PretrainingAutomated Algorithm Discovery

    University of Amsterdam · Weco AI

  50. Bayesian Optimization with Rich Auxiliary Information via LLMs

    Sep 16, 2026Tejus Gupta, Efe Mert Karagözlü, Rohit Sonker +2Bayesian OptimizationLarge Language Model-Guided Optimization

    School of Computer Science Carnegie Mellon University Pittsburgh, PA 15213

  51. LLMDE: A Large Language Model-Driven Differential Evolution Algorithm for Portfolio Optimization

    Sep 15, 2026Rong Chai, Vaclav Snasel, Xiaopeng Wang +2Differential EvolutionLarge Language Model-Guided Optimization

    Faculty of Electrical Engineering and Computer Science, VŠB-Technical University of Ostrava, Ostrava, Czech Republic · Centre for Artificial Intelligence Research and Optimisation, Torrens University Australia, Brisbane, Australia · Digital Health and Applied Technology Assessment, King’s College London, London, UK

  52. little m: An AI Agent for Industrial Process Optimization

    Sep 15, 2026Yongchao Ye, Xinyu He, Dutliff Boshoff +2Large Language Model-Guided OptimizationMultimodal Reasoning

    Department of Data Science, City University of Hong Kong, Hong Kong SAR, China · Hong Kong Institute for Advanced Study, City University of Hong Kong

  53. Agentic Search Spaces for Tabular Machine Learning

    Sep 14, 2026Renat Sergazinov, Artem Chistyakov, Sergey Pankevich +1Large Language Model-Guided OptimizationTabular ML

    † Yandex ‡ HSE University

  54. Failure-Guided Co-Evolution of Prompts and Training Data

    Sep 14, 2026Tianyu Yuan, Zhuzhong QianLarge Language Model-Guided OptimizationAutomatic Prompt Optimization

    Nanjing University

  55. SAGE-Loop: Reliable Closed-Loop LLM-Driven AutoML with Trial-and-Correction and Adaptive Ensembling

    Sep 14, 2026Junquan Gu, Shibo Cui, Xiangfeng Luo +1LLM Self-CorrectionEnsemble Learning

  56. AMDKernelVault: Large-Scale Datasets and Agentic Training for AMD GPU Kernel Optimization

    Sep 14, 2026Ji Liu, Saptarshi Majumder, Yiqing Huang +14GPU Kernel OptimizationLarge Language Model-Guided Optimization

    Advanced Micro Devices, Inc.

  57. RoofLang: Enabling AI-Driven Architecting of LLM Inference Systems

    Sep 14, 2026Ziyue Yang, Yuting Jiang, Lei Qu +1LLM InferenceLarge Language Model-Guided Optimization

    Shanghai Xingyunzhili Artificial Intelligence Institute, Shanghai, China · Microsoft Research, Redmond, WA, USA

  58. GenOR-Twin: A Semantic Middleware for Integrating Operational Discourse with Mathematical Optimization

    Sep 14, 2026Rahimeh Neamatian Monemi, Shahin Gelareh, Lubin Cui +1Large Language Model-Guided OptimizationDigital Twins

    Sharkey Predictim Globe · Département R&T, IUT de Béthune, Université d’Artois, F-62000 Béthune, France · Federal University of Rio de Janeiro, COPPE-PESC, P.O. Box 68511, Rio de Janeiro, RJ 21941-972, Brazil +1

  59. T-GADE: Thermodynamical Generative-AI-Driven Evolution of LLM Artifacts

    Sep 14, 2026Kyoko Ogawa, Naoki MoriEvolutionary OptimizationLarge Language Model-Guided Optimization

    Graduate School of Informatics, Osaka Metropolitan University, Osaka, Japan

  60. Efficiency Hallucination: Formalizing and Measuring Behavioral Calibration in LLM-Based Code Optimization

    Sep 13, 2026Sarah Wilson, Gail Kaiser, Patrick MusauSelective PredictionLarge Language Model-Guided Optimization

    Google · Columbia University · Vanderbilt University