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8 papers in the last four weeks, up 100% on the four weeks before. 0.1% of all new papers.

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  1. From Spectra to Joint Schedules in LLM Pre-training: 3+3(+2) Scaling-Law Regimes

    Sep 30, 2026Yichen Wang, Fanghui Liu, Yudong ChenBatchStochastic Gradient Descent

    Department of Computer Sciences, University of Wisconsin–Madison, USA. · School of Mathematical Sciences, Institute of Natural Sciences and MOE-LSC, Shanghai Jiao Tong University, China.

  2. The Golden Path Hypothesis: Reusable Schedules in Diffusion Caching

    Sep 30, 2026Dong Wang, Wenwu Tang, Francesco Corti +3Intermediate Latent StatesReconstruction Fidelity

    Graz University of Technology, Austria · Swiss Data Science Center, Switzerland · ETH Zurich, Switzerland +1

  3. Factorized Scheduling Principle: Learning Interpretable and Transferable Policies via Structured Additive Functions

    Sep 29, 2026Hong Je-Gal, Hyun-Suk LeeSchedulersSchedule

    Department of Artificial Intelligence and Robotics, Sejong University, South Korea · Artificial Intelligence Robotics Institute (AIRI), Sejong University, South Korea

  4. Distill Locally, Schedule Globally: Flow Maps for Few-Step Text-to-Speech

    Sep 28, 2026Yentl Collin, Evan Dufraisse, Amr Mohamed +3Flow-Matching Text-To-SpeechLatent Flow

    Institute of Foundation Models (IFM), MBZUAI

  5. Adaptive Determinantal Client Scheduling in Federated Learning

    Sep 20, 2026Wen Xu, Ben Liang, Gary Boudreau +1Federated LearningSchedulers

    University of Toronto, Canada · Ericsson, Canada

  6. MCRL2: Multi-resource Cross-attention-based Representation Learning-augmented Reinforcement Learning for Cloud Microservice Scheduling

    Sep 14, 2026Tiangang Li, Shi Ying, Xiangbo Tian +2SchedulersSchedule

    School of Computer Science, Wuhan University, Wuhan 430072, China · School of Computer Science, Beijing University of Posts and Telecommunications, Beijing 100876, China

  7. When Does Scale-Invariant Optimization Become Unstable? An Exact Schedule Law with Weight Decay

    Sep 8, 2026Hasan Amin, Wei-Kai Chang, Rajiv KhannaWeight DecayBatch

    Purdue University

  8. PLATOS: A Power and Latency-Aware Task-Oriented Scheduling Strategy for Healthcare IoT in Fog Computing

    Sep 7, 2026Mohammed Alaa Ala'anzy, Zulfiqar Ahmad, Zhanar MukashSchedulersEdge Platforms

  9. Planning and Scheduling Business Processes under Control-Flow Uncertainty: Extended Version

    Sep 4, 2026Michel Kunkler, Stefanie Rinderle-MaJob Shop SchedulingSchedule

    Technical University of Munich, Germany TUM School of Computation, Information, and Technology

  10. DynaNDE: Dynamic Near-Data Expert Scheduling for Batched MoE Inference

    Aug 31, 2026Xiaoyang Lu, Belthangady Akash Vi Narayana Pai, Xian-He SunMixture-Of-Expert InferenceNeural Processing Units

    Illinois Institute of Technology Chicago, Illinois, USA

  11. From Metaheuristics to Exact Methods: A CP-SAT Approach for Multi-Objective Healthcare Workforce Scheduling

    Aug 31, 2026Vipul Patel, Anirudh Deodhar, Dagnachew BirruJob Shop SchedulingSchedule

    1Phi Labs, Quantiphi

  12. MemSpec: Memory-Aware Runtime for Adaptive Draft Scheduling in Speculative Decoding on Edge Devices

    Aug 11, 2026Eunjeong Kim, Yeong Jun Jeon, Myeonggyun HanSpeculative DecodingLLM Inference Optimization

    Kyungpook National University Daegu, Republic of Korea

  13. Towards joint scaling laws with optimal batch size schedules

    Jul 30, 2026Jiaxiang Li, Zhiqi Bu, Shiyun XuBatchLarge Language Model Training

    Meta · Independent researcher

  14. Denoising growth complexity: Data geometry and certified schedules for diffusion sampling

    Jul 28, 2026Martin J. WainwrightDiffusion SamplingGrowth

    Lab for Information and Decision Systems Statistics and Data Science Center EECS and Mathematics, Massachusetts Institute of Technology

  15. Analytic Distribution of Classifier-Free Guidance for Schedule Design

    Jul 22, 2026Enze Jiang, Zheng MaClassifier-Free GuidanceDistributions

    School of Mathematical Sciences Shanghai Jiao Tong University Shanghai, China

  16. WSqD: A Horizon-Free Learning Rate Schedule for Large Model Training

    Jul 12, 2026Jianhao Ma, Yuxin ChenBatchWarm Starts

    Department of Statistics and Data Science, University of Pennsylvania

  17. Toward Trustworthy Large Language Model Agents in Healthcare

    Jul 6, 2026Hadi Hasan, Safaa Salman, Adam Tai Abou Dargham +2Large Language Model AgentsSchedule

    Department of Electrical and Computer Engineering / American University of Beirut / Beirut, Lebanon

  18. Mixture-of-Gaussians-Guided Schedule Design for Brownian Bridge Diffusion Models

    Jul 3, 2026Ron Levi, Michael EladDiffusion BridgesSchrödinger Bridges

    Department of Computer Science Technion, Israel

  19. A Sliding-Window-Based Reinforcement Learning for Dynamic Assembly Flow Shop Scheduling with Multi-Product Delivery

    Jul 3, 2026Junhao Qiu, Jianjun Liu, Ting Liu +3Job Shop SchedulingSchedule

    School of Electromechanical Engineering, Guangdong University of Technology, Guangzhou, China · Department of Computer Science, City University of Hong Kong, Hong Kong

  20. Class-frequency Guided Noise Schedule for Diffusion Models

    Jun 26, 2026Jiequan Cui, Beier Zhu, Qingshan Xu +3Diffusion ModelsGraph-Coherent Low-Frequency Ones

    Hefei University of Technology. · University of Science and Technology of China. · The University of Hong Kong. +2

  21. A Multi-Level Validation and Traceability Framework for AI-Generated Telescope Scheduling Decisions

    Jun 25, 2026Hengchu Xiao, Chuanjun WangScheduleTraceability

    Yunnan Observatories, Chinese Academy of Sciences, Kunming 650216, China · University of Chinese Academy of Sciences, Beijing 100049, China · Key Laboratory of the Structure and Evolution of Celestial Objects, Chinese Academy of Sciences, Kunming 650216, China +2

  22. SwarmX: Agentic Scheduling for Low-Latency Agentic Systems

    Jun 19, 2026Yeqi Huang, Yanwei Ye, Guomin Chen +8SchedulersSchedule

    University of Edinburgh United Kingdom · Tencent China

  23. When Should a Robot Replan? Regret-Guided Update Scheduling in Time-Varying MDPs

    Jun 15, 2026Negin Musavi, Gokul Puthumanaillam, Ruben Hernandez +2Iterative Re-PlanningMarkov Decision Processes

    Department of Aerospace Engineering, University of Illinois Urbana–Champaign, Champaign, IL 61820, USA

  24. OSDAG: Online Scheduling for Efficient Multi-Robot Collaboration

    Jun 13, 2026Thanh Nguyen Canh, Thang Tran Viet, Phuc Van Dinh +2Multi-Robot SystemsSchedulers

    School of Information Science, Japan Advanced Institute of Science and Technology, Nomi, 923-1211, Ishikawa, Japan. · University of Engineering and Technology, Vietnam National University, 10000, Hanoi, Vietnam. · Department of Robotics, Hanyang University, Ansan, 15588, Gyeonggi, Korea.

  25. DrivingAgent: Design and Scheduling Agents for Autonomous Driving Systems

    Jun 10, 2026Zhongyu Xia, Wenhao Chen, Yongtao Wang +1Autonomous DrivingSchedule

    Wangxuan Institute of Computer Technology, Peking University · University of California, Merced

  26. Sim2Schedule: A Simulator-Guided LLM Framework for Autonomous Open-Pit Mine Scheduling

    Jun 9, 2026Mustavi Ibne Masum, Thiago Eustaquio Alves de Oliveira, Mahzabeen EmuJob Shop SchedulingSchedule

    Department of Computer Science, Lakehead University, Canada · Quantum Communications and Computing Research Center and Department of Electrical and Computer Engineering, Memorial University of Newfoundland, St. John’s, Newfoundland, Canada

  27. MOSAIC: Efficient Mixture-of-Agent Scheduling via Adaptive Aggregation and Inference Concurrency

    Jun 2, 2026Saptarshi Mitra, Yifan Zhang, Rachid Karami +5Mixture-Of-Expert InferenceWorkload

    University of California, Irvine, USA · University of Southern California, Los Angeles, USA · Intel, USA

  28. Observation, Not Prediction: Conversation-Level Disaggregated Scheduling for Agentic Serving

    Jun 1, 2026Jianru Ding, Ryien Hosseini, Pouya Mahdi Gholami +2Time-To-First-TokenLarge Language Model Serving

    University of Chicago

  29. Deft Scheduling of Dynamic Cloud Workflows with Varying Deadlines via Mixture-of-Experts

    May 31, 2026Ya Shen, Gang Chen, Hui Ma +1ScheduleDeadlines

    School of Engineering and Computer Science, Victoria University of Wellington, Wellington, New Zealand

  30. D3^3: Dynamic Directional Graph-Constrained Data Scheduling for LLM Training

    May 29, 2026Yuanjian Xu, Jianing Hao, Guang Zhang +1Large Language Model TrainingSchedule

    1HKUST-GZ · Microsoft Research Asia · 2Microsoft Research

  31. DynaSchedBench: Calibrated Dynamic Scheduling Benchmarks and Observability Paradox in LLM-based Scheduling Agents

    May 26, 2026Shijie Cao, Yuan Yuan, Jing LiuJob Shop SchedulingSchedule

    School of Computer Science and Engineering, Beihang University, Beijing 100191, China · Shenzhen Loop Area Institute, Shenzhen, China · Qingdao Research Institute, Beihang University +3

  32. Mapping the Schedule x Bit-Width Boundary in Sub-100M Quantisation-Aware Training

    May 25, 2026Christian Brandt ThomassenQuantization-Aware TrainingBatch

    Dwarf A/S, Copenhagen, Denmark

  33. Learning-Augmented Online Scheduling with Parsimonious Preemption

    May 22, 2026Mugen Blue, Sungjin Im, Alexander LindermayrSchedulersPreemption

    University of California, Santa Cruz, US. · Institut für Mathematik, Technische Universität Berlin, Germany.

  34. Addressing Terminal Constraints in Data-Driven Demand Response Scheduling

    May 14, 2026Maximilian Bloor, Martha White, Ehecatl Antonio del Rio Chanona +1Demand ResponseSchedule

    Sargent Centre for Process Systems Engineering, Imperial College London, London, SW7 2AZ, UK · Department of Computer Science, University of Alberta, Edmonton, AB, Canada · Department of Computing, Imperial College London, London, SW7 2AZ, UK

  35. PyCSP3-Scheduling: A Scheduling Extension for PyCSP3

    May 14, 2026Sohaib AfifiJob Shop SchedulingSchedule

    Univ. Artois, UR 3926, Laboratoire de Génie Informatique et d’Automatique de l’Artois (LGI2A), F-62400 Béthune, France

  36. Agentic Recommender System with Hierarchical Belief-State Memory

    May 14, 2026Xiang Shen, Yuhang Zhou, Yifan Wu +8AgenticSchedule

    Meta Recommendation Systems (MRS)

  37. AssemPlanner: A Multi-Agent Based Task Planning Framework for Flexible Assembly System

    May 9, 2026Chenhao Zhang, Chaoran Zhang, Zhaobo Xu +3AssemblyPlanner Agent

    Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, China · Department of Mechanical Engineering, Tsinghua University, Beijing 100084, China

  38. OmniMoE: An Efficient MoE by Orchestrating Atomic Experts at Scale

    Feb 5, 2026Jingze Shi, Zhangyang Peng, Yizhang Zhu +3Mixture-Of-Expert InferenceMixture-Of-Experts

    The Hong Kong University of Science and Technology (Guangzhou) · Beijing Academy of Artificial Intelligence

  39. Multi-Task Instruction Tuning via Data Scheduling for Low-Resource Arabic SpeechLLMs

    Jan 18, 2026Hunzalah Hassan Bhatti, Firoj Alam, Shammur Absar ChowdhuryArabic Natural Language ProcessingArabic

    Qatar Computing Research Institute, Qatar

  40. PEARL: Self-Evolving Assistant for Time Management with Reinforcement Learning

    Jan 17, 2026Bingxuan Li, Jeonghwan Kim, Cheng Qian +4ScheduleAssistant

    University of Illinois at Urbana-Champaign · Viven

  41. Learning to Schedule in Parallel-Server Queues with Stochastic Bilinear Rewards

    Dec 13, 2021Jung-hun Kim, Milan VojnovicSchedulersSchedule

    CREST, ENSAE Paris, France · London School of Economics, United Kingdom