Large Language Model-Guided Optimization

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66 papers in the last four weeks, up 214% on the four weeks before. 0.6% of all new papers.

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  1. Insights from Autoresearch for Solar Panel Segmentation

    Oct 7, 2026Justinas Lekavicius, Kursat Komurcu, Valentas Gruzauskas +1Large Language Model-Guided OptimizationSemantic Segmentation

    Vilnius University, Institute of Computer Science, Artificial Intelligence Methods Lab · IRISA, Université Bretagne Sud · European Commission Joint Research Centre

  2. Beyond LLM-GA: Secure Fluid Antenna Systems with ReEvo-Designed Memetic Algorithm

    Oct 7, 2026Hanyong Xu, Zhaolai Dang, Tong ZhangWireless CommunicationsMetaheuristic Optimization

    School of Information, Harbin Institute of Technology, Shenzhen, Shenzhen 518055, China · Guangdong Provincial Key Laboratory of Aerospace Communication and Networking Technology, Harbin Institute of Technology, Shenzhen, 518055, China

  3. Goldsmith: Gold-Loss-Guided Definition Optimization with an Agentic Annotation Harness

    Oct 7, 2026Yihan Li, Hanyi Zhang, Xiaoxi Jiang +1LLM-Assisted AnnotationLarge Language Model-Guided Optimization

    Sun Yat-sen University, Guangzhou, China · South China University of Technology, Guangzhou, China

  4. RLDISCOVER: LLM-driven co-evolution of reinforcement learning algorithms

    Oct 6, 2026Haoran Li, Zengle Ge, Xiaomin Yuan +14Automated Algorithm DiscoveryModel-Free RL

    University of the Chinese Academy of Sciences · Baidu · Tsinghua University +4

  5. FreeEvolve: Learning to Evolve Beyond Fixed Loops

    Oct 6, 2026Lecheng Kong, Like Hui, Nikos Kanakaris +3Self-Evolving AgentsLLM Agent Self-Improvement

    AWS AI Labs · Georgia Institute of Technology

  6. 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

  7. 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

  8. 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

  9. 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

  10. 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

  11. 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

  12. 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

  13. 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

  14. 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

  15. 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

  16. 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

  17. 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

  18. 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

  19. 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

  20. 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

  21. 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

  22. 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

  23. 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

  24. 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

  25. 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

  26. 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

  27. 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

  28. 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

  29. 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

  30. 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