Operations Research

Latest papers

36 papers10 papers in the last four weeks, up 67% on the four weeks before. 0.1% of all new papers.

Epi: Towards a Persistent, Self-Improving Agent for Autonomous Research
Oct 18, 2026Yue Huang, Zhangchen Xu, Xiaonan Luo +16Operations Research Autonomous Research Agents
Bake AI · University of Notre Dame · University of Washington +10
VERAS: Verification-Guided Adaptive Search for Reliable Operations Research
Oct 16, 2026Minbo Ma, Honglin Zhang, Bangtao Zhou +5Large Language Model-Guided Optimization LLM Agent Verification
Tsinghua University, Beijing, China · Meituan, Beijing, China · Shanghai Jiaotong University, Shanghai, China
OR-License: Evaluating LLM Agents as Real-World Operations Research Practitioners
Oct 16, 2026Peisong Wang, Feixue Liu, Yize Meng +16Operations Research LLM Agent Evaluation
HKUST-GZ · HKU · Qingzhi Optimization (Jinan) Information Technology Co., Ltd. +6
Lag: A Mean-Field Optimal Policy for Online Assignment with Reusable Resources
Oct 13, 2026Keerthana GurushankarOnline Resource Allocation Multi-Armed Bandits
Carnegie Mellon University, Pittsburgh, PA, USA
Size Generalization for Diffusion Routing Solvers
Oct 12, 2026Barak Itzchak Davidovitch, Eli Meirom, Ethan Fetaya +1Combinatorial Optimization Vehicle Routing
Bar-Ilan University · NVIDIA
GREAT-ESDD: Graph Edge Attention Network for Effectively Steered Delivery Decisions
Oct 10, 2026Attila Lischka, Ze Zhou, Xuegang +2Operations Research Vehicle Routing
Jeff · Civil and Environmental Engineering, University of Washington, Seattle, USA · Electrical Engineering, Chalmers University of Technology, Gothenburg, Sweden
ORDO: Operation-level Round-aware Dynamic Ordering for MIP Presolve
Oct 8, 2026Zehuan Chen, Chunhe SongMixed-Integer Linear Programming Operations Research
Institute of Industrial Artificial Intelligence, CAS
Online Resource Allocation with an Endogenous Markov State: Fewer LP Solves Earn More
Oct 7, 2026Zhaohua ChenOnline Resource Allocation Operations Research
Taobao & Tmall Group of Alibaba, Renmin University of China
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 Optimization Optimal 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
Just Initialize: A Training-Free Initialization Component for Large-Scale Routing Optimization
Sep 28, 2026Jiale Zhao, Sirui Mao, Zimu Chen +5Traveling Salesperson Problem Combinatorial Optimization
School of Automation Science and Electrical Engineering, Beihang University, Beijing, China · School of Computer Science and Engineering, Beihang University, Beijing, China · School of Cyber Science and Technology, Beihang University, Beijing, China +1
COMPASS: Ordered Clustered Routing at 100K Scale
Sep 17, 2026Ido Greenberg, Hugo Linsenmaier, Piotr Sielski +4Traveling Salesperson Problem Combinatorial Optimization
NVIDIA
MAPLE: Memory-Augmented Planning with Language and Evolution
Sep 10, 2026Kesheng Chen, Yamin Hu, Wenjian LuoNatural Language to Optimization Modeling Memory-Augmented Agents
Harbin Institute of Technology, Shenzhen, China
Beyond Verified Answers: Solver-Informed Self-Distillation for Bootstrapping Operations Research Language Models
Sep 9, 2026Rui Zhu, Minglong Cao, Chenyu Zhou +2RL for Language Models Large Language Model-Guided Optimization
Shanghai Jiao Tong University, Shanghai, China · Fudan University, Shanghai, China
Ask Before You Optimize: Dynamic Pre-Formulation Clarification for Interactive Optimization
Sep 4, 2026Sihan Ge, Yichen Lin, Chenyu Zhou +3Large Language Model-Guided Optimization LLM Agent Evaluation
Cardinal Operations · Shanghai Jiao Tong University, Shanghai, China
Planning and Scheduling Business Processes under Control-Flow Uncertainty: Extended Version
Sep 4, 2026Michel Kunkler, Stefanie Rinderle-MaStochastic Optimization Chance-Constrained Optimization
Technical University of Munich, Germany TUM School of Computation, Information, and Technology
Counterfactual Routing Using Integer Programming with Constraint Generation
Sep 3, 2026Daniël Vos, Sterre LutzCounterfactual Explanations Combinatorial Optimization
Delft University of Technology
AlgoWorlds: Benchmarking Tool Use for Global Optimization in Algorithmic Worlds
Aug 29, 2026Zixiang Xu, Jiaan Wang, Fandong MengAI Agent Benchmarks Global Optimization
Weixin AI, Tencent · University of Southern California
LLMs Can Design Near-Optimal OR Algorithms
Aug 27, 2026Jackie BaekInventory Control Automated Algorithm Discovery
Stern School of Business, New York University
Large Language Model for Operations Research Formulation Selection in Multi-Warehouse Inventory Allocation
Jul 28, 2026Jintao Xu, Yingzheng Ma, Jiong Dong +2Inventory Control Large Language Model-Guided Optimization
Supply Chain Tech Team Y, JD.com, Beijing, China
SPORD: A Simulation-Propose-then-OR-Dispose Approach for Supply Chain Planning
Jul 23, 2026Jiayin He, Yutong Pan, Sen Yang +5Combinatorial Optimization Model-Based Planning
Department of Industrial Engineering, Tsinghua University, Beijing 100084, China · JD.com, Beijing, China, 101111 · College of Engineering, UC Berkeley, Berkeley, CA 94720, USA +1
JOR-Bench: Japanese Operations Research Benchmarks for Large Language Models
Jul 18, 2026Yuu JinnaiMultilingual Language Model Evaluation LLM Evaluation
CyberAgent Tokyo, Japan
Opti-Agent-Bench: Benchmarking End-to-End Optimization R&D Agents on Real-World Business Problems
Jul 12, 2026Yongchang Fu, Xinjie Huang, Chengjun Dai +3Large Language Model-Guided Optimization LLM Agent Evaluation
Ding Talk, Alibaba Group, Hangzhou, China · Zhejiang University, Hangzhou, China
COOPA: A Modular LLM Agent Architecture for Operations Research Problems
Jun 25, 2026Chuanhao Li, Xiaoan Xu, Dirk Bergemann +3Multi-Agent LLM Systems Multi-Agent Orchestration
1Tsinghua University · 2Duke University · 3Yale University
Context-Aware Synthesis of Optimization Pipelines for Warehouse Optimization
Jun 25, 2026Janik Bischoff, Anne Meyer, Uta Mohring +6Algorithm Selection Automated Algorithm Discovery
Institute for Information Management in Engineering, Karlsruhe Institute of Technology, Germany · Department of Business Administration, University of Zurich, Switzerland · Institute for Operations Research, Karlsruhe Institute of Technology, Germany +1
ORAgentBench: Can LLM Agents Solve Challenging Operations Research Tasks End to End?
Jun 18, 2026Jiajun Li, Mingshu Cai, Yixuan Li +5LLM Agent Evaluation AI Agent Benchmarks
School of Computer Science and Engineering, Southeast University · Waseda University · Nanyang Technological University +1
OR-Space: A Full-Lifecycle Workspace Benchmark for Industrial Optimization Agents
May 27, 2026Chenyu Zhou, Xinyun Lu, Jiangyue Zhao +3LLM Agent Evaluation AI Agent Benchmarks
Shanghai Jiao Tong University · Shanghai University of Finance and Economics · Stanford University
MPMMine: Better Benchmarks for Constraint Acquisition
May 25, 2026Rafał Stachowiak, Tomasz P. PawlakBenchmark Construction Benchmark Design
Institute of Computing Science, Poznan Univeristy of Technology, Piotrowo 2, Poznań, Poland
FrontierOR: Benchmarking LLMs' Capacity for Efficient Algorithm Design in Large-Scale Optimization
May 24, 2026Minwei Kong, Chonghe Jiang, Ao Qu +24LLM Evaluation Large Language Model-Guided Optimization
Singapore-MIT Alliance for Research and Technology · Massachusetts Institute of Technology · Northeastern University +10
Petri Net Induced Heuristic Search for Resource Constrained Scheduling
May 15, 2026Ido Lublin, Dor Atzmon, Izack CohenResource-Constrained Project Scheduling Combinatorial Optimization
Faculty of Engineering, Bar-Ilan University, Ramat Gan, Israel
Online Allocation with Unknown Shared Supply
May 8, 2026Tzeh Yuan Neoh, Davin Choo, Mengchu Yue +1Online Resource Allocation Sequential Decision Making
Harvard University

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Epi: Towards a Persistent, Self-Improving Agent for Autonomous Research

Yue Huang, Zhangchen Xu, Xiaonan Luo, Zheyuan Liu+15

Bake AI · University of Notre Dame · University of Washington+10

Operations Research Autonomous Research Agents AI Agents for Scientific Discovery Self-Improving Agents Autonomous Experimentation Automated Algorithm Discovery

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We present Épi, an autonomous research agent that sustains investigations across model sessions and evolves its methods through accumulated experience. Épi combines persistent research history, hierarchical memory, branching and independent review to maintain research continuity, learn from experiments, and explore and revisit alternative approaches. Its experiments run across session boundaries, and a fixed verifier evaluates their outputs. Épi produced 120 record-setting results, comprising 20 numerical bound records across 12 families and 100 construction records across eight families. These include an approximately 84-fold narrower interval for the

n

-queens constant and a more than 3.6-million-fold narrower rigorous interval for the quartic Feigenbaum attractor dimension. Exact dual certificates establish that the Cohn-Elkies linear-programming bound cannot be sharp in dimensions 10 and 11. Beyond numerical improvements, Épi gives a computer-assisted proof of Tuza's conjecture for split graphs with an eight-vertex clique part and at most three triangle-active neighborhood types, with arbitrary multiplicities. We extend this research process to algorithmic coding with Épi-turbo, a lightweight configuration that develops executable solvers for tasks including vehicle routing, scheduling and production planning. On 30 FrontierOR tasks, Épi-turbo achieves a 5.4% higher total benchmark score than Codex at 64% of its model cost, using the same underlying model and reasoning effort. Épi is designed to support human understanding by connecting computational results to explicit methods and mathematical arguments that researchers can examine and build upon.