Expert Demonstrations

Ask about this topic

Momentum

10 papers in the last four weeks, up 150% on the four weeks before. 0.1% of all new papers.

Jul 13Week of Sep 28
View on map

Latest papers 67

All topics
CardsList

  1. DoGBench: Can Agents Meet Expert Standards for User-Facing Documentation?

    Sep 30, 2026Frances Liu, Manny Silva, Paige Calvert +2DocumentationReviewer

    PROMPTLESS · PROMPTLESS / DOC DETECTIVE

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

    Sep 30, 2026Zhong Li, Xin Huang, Jinhui Wan +6Optimization ModelingLarge Language Model Benchmarks

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

  3. KUPAS MASTER: Distilling the Tacit Expertise of Master Practitioners into Agent-Ready Experience Corpora

    Sep 29, 2026Changmian Wang, Yuchao Ma, Xuchao Lu +13Expert DemonstrationsText Corpora

    Shanghai Kupas Technology Co., Ltd. and Tongji University

  4. From Sharp Eyes to Expert Mind: Internalizing Expert Knowledge in MLLMs for Tampered Text Detection

    Sep 28, 2026Kaiqing Lin, Songze Li, Shen Chen +8Tamper LocalizationDigital Forensics

    Guangdong Provincial Key Laboratory of Intelligent Information Processing, Shenzhen Key Laboratory of Media Security, and SZU-AFS Joint Innovation Center for AI Technology, Shenzhen University, Shenzhen 518060, China · Tencent Youtu Lab, Shanghai, China

  5. SlimWise: Decoupling Expert Pruning Across Prefill and Decode for Efficient MoE Serving

    Sep 28, 2026Gunho Park, Kyoungho Jeun, Juntaek Oh +3Mixture-Of-ExpertsLLM Inference Optimization

    a2sys · KAIST

  6. RAZOR: Pruning Replaceable Experts in LLMs

    Sep 24, 2026Mingyang Song, Mao ZhengMixture-Of-Experts Large Language ModelsStructured Pruning

    Foundation Model Department, Tencent, China

  7. When Tomorrow Becomes Today: Self-Evolving Policies for Agentic Time-Series Forecasting

    Sep 21, 2026Yifan Hu, Xilin Dai, Zhiyuan Qu +4Time Series ForecastingData-Driven Forecasting

    Ant International · Tsinghua University · The Chinese University of Hong Kong

  8. Edustories: A Collection of Real-world Case Studies from Classroom Practices

    Sep 17, 2026Michal Štefánik, Jan Nehyba, Jirina Karasova +4ClassroomsCase Study

    Faculty of Education, Masaryk University, Czechia · R&D Center for Large Language Models, National Institute of Informatics, Japan

  9. Evidence-Aligned Local Composition of Discrete Experts for Sequence Restoration

    Sep 14, 2026Mohammad Panahazari, Usman A. Khan, Shuchin AeronRestorationExpert Demonstrations

    Department of Electrical and Computer Engineering, Tufts University, Medford, Massachusetts · Boston College, Chestnut Hill, Massachusetts

  10. Can We Triage LLM Translation Errors in Classical Texts Without Human References? Source Novelty, GEMBA Scoring, and Budgeted Review through Pali-to-English Translation

    Sep 14, 2026Máté MetzgerMachine Translation QualityTranslation Quality

    Independent Researcher, Hungary

  11. Does Imitation Learning Preserve Temporal Robustness in Dexterous Manipulation? An Expert-Learner Comparison Across Task Execution Speeds

    Sep 1, 2026Clinton Enwerem, John S. Baras, Calin BeltaImitation LearningRobotic Manipulation Policies

    Institute for Systems Research University of Maryland College Park, MD, U.S.A.

  12. GazeRefine: Expert Gaze as a Test-Time Prompt for Training-Free Medical Image Segmentation

    Sep 1, 2026Mohammed Oussama Benyahia, Marouane Tliba, Mohamed Amine Kerkouri +10Semi-Supervised Medical Image SegmentationPolyp Segmentation

    Université Sorbonne Paris Nord · Northwestern University · VSB-Technical University of Ostrava

  13. AnalysisBank: An Expert Analysis Pattern Library for Financial Report Generation

    Sep 1, 2026Yajing Yang, Yunshan Ma, Kelvin J. L. Koa +1ReportInsights

    National University of Singapore · Singapore Management University · Asian Institute of Digital Finance

  14. mimeo: Compiling Public Expert Corpora into Agent Skills and Testing What Transfers

    Aug 31, 2026Timothy KassisExpert DemonstrationsCoding Agents

    K-Dense, Inc.

  15. Beyond Routing: Decoupling Expert Dispatch and Aggregation in Sparse Mixture-of-Experts

    Aug 9, 2026Zongfei LiExpertsExpert Demonstrations

  16. The Evolution of Mixture-of-Experts Architectures in Large Language Models: Routing, Topology, Load Balancing, and Expert Parallelism

    Aug 9, 2026Jiguo LiMixture-Of-Experts ArchitecturesMixture-Of-Experts

    This report was completed with the assistance of Codex.

  17. Shape Mutating Expert Compression:LorExperts and BTExperts

    Aug 7, 2026Inesh Chakrabarti, Sourjya Roy, Bowen Bao +3Mixture-Of-Experts Large Language ModelsExperts

    Advanced Micro Devices

  18. Uncovering expert objectives in production planning via inverse optimization: An industrial case study

    Aug 7, 2026Shivi Dixit, Rishabh Gupta, Adam Kelloway +2Objective FunctionsIndustrial

    Department of Chemical Engineering and Materials Science, University of Minnesota, Minneapolis, MN 55455, USA · The Dow Chemical Company, Midland, MI 48642, USA · Department of Chemical Engineering, Carnegie Mellon University, Pittsburgh, PA 15213, USA

  19. Measurements Automatically Extracted from Zero Echo Time MRI Using Deep Learning Image Segmentation and Geometric Modeling Agree with Expert Manual Readings

    Aug 7, 2026Jack Consolini, Eric A. Bogner, Meghan Sahr +3Morphometric AnalysisMagnetic Resonance Imaging

    Department of Radiology and Imaging, Hospital for Special Surgery, New York, NY, USA

  20. EuroExec: Frontier Language Models Fall Short of Expert Judgment on European Executive Decision Tasks

    Aug 5, 2026Pau Arnal, Khaled Denfir, Danylo Smahliuk +2Expert DemonstrationsHuman-Annotated Benchmark

    Sovrano AI

  21. AIDE: Automated Instruction via Distilled Expertise for Reference-Free Motor Skill Coaching

    Aug 4, 2026Yoshiki ItoCoaching SystemsHuman-To-Robot Transfer

    Research & Development Group Hitachi, Ltd. Tokyo, Japan

  22. AI-Based Thesis Assessment: An Empirical Study of Human Evaluation Priorities and Their Impact on Automated Assessment

    Aug 1, 2026Garv Vikram Gursahaney, Baskhad Idrisov, Thorsten Fröhlich +1Peer ReviewArtificial Intelligence Evaluation

    IU International University of Applied Sciences, Germany.

  23. Beyond Routing Weights: Faithful Response-Level Interpretation of Mixture-of-Experts Reward Models via Contribution Contrast

    Jul 31, 2026Yifan Wang, Jinyi Mu, Mayank Jobanputra +4Progress Reward ModelingExpert Demonstrations

    Saarland University · University of California San Diego · Bielefeld University +2

  24. DraftExpert: Expansion-Aware Self-Speculative Decoding for End-Device MoE Inference

    Jul 27, 2026Dengke HanMixture-Of-Expert InferenceMixture-Of-Experts

  25. Decentralised Consensus Learning Networks: SME Rotation Without Centralised Reward

    Jul 27, 2026Florin NeaguDecentralized LearningResponse-Level Rewards

  26. Hierarchical Copula-Gumbel-Top-\texorpdfstring{KK}{K} Routing: Two-Sided Dependence Control for Frozen Mixture-of-Experts at Fixed Per-Token Routing Laws

    Jul 25, 2026Richard Yi Da XuMixture-Of-ExpertsGaussian Copula

    Hong Kong Baptist University and TadReamk Limited

  27. Emergent Compositional Skills in Mixture-of-Experts VLAs

    Jul 22, 2026Shlok Shah, Rhiaan Jhaveri, Tharun Kumar Tiruppali Kalidoss +3Robot PoliciesMixture-Of-Experts

    Department of Computer Science, Princeton University, Princeton, NJ, USA · Department of Electrical and Computer Engineering, Princeton University, Princeton, NJ, USA

  28. Plausibility-Driven Prioritization of Candidate Biomedical Annotations

    Jul 22, 2026Emanuele Cavalleri, Miad Alavinezhad, Dario Malchiodi +1Biomedical Knowledge GraphMedical Ontology

    Department of Computer Science, University of Milano, Milano, Italy

  29. Good Benchmarks

    Jul 13, 2026Ivan BercovichReal-World TasksExpert Demonstrations

  30. UMoE:Unlocking Every Expert in Domain-Specific Training

    Jul 13, 2026Xuefeng Li, Pengfei LiuExpertsExpert Demonstrations

    1SII · 2SJTU · 3GAIR

  31. Anomalous Frame Detection by Grouping Frame Similarities between Two Videos Computed by Vision-Language Model to Extract Expert Workers' Unique Actions

    Jul 12, 2026Ryo Sakai, Yongpeng Cao, Nobutaka KimuraExpert DemonstrationsAbnormality

    Robotics Research Department, Research and Development Group, Hitachi, Ltd., Ibaraki, Japan · School of Engineering, The University of Tokyo, Tokyo, Japan · Next Research Department, Research and Development Group, Hitachi, Ltd., Kokubunji, Japan

  32. When Does Online Imitation Learning Help in LLM Post-Training? The Role of (Non-)Realizability Beyond Horizon

    Jun 29, 2026Huaqing Zhang, Jingchu Gai, Juno Kim +2Imitation LearningReinforcement Learning Post-Training

    Tsinghua University · Carnegie Mellon University · UC Berkeley +1

  33. DeepTrans Studio: Turning Expert Interventions into Shared Team Knowledge in Agentic Translation Workflows

    Jun 29, 2026Ziyang Lian, Qingya Zhang, Hao Wang +5Human-Ai CollaborationMachine Translation

    School of Computer Engineering and Science, Shanghai University, China · School of Foreign Languages, East China Normal University, China · School of Foreign Studies, Shanghai University, China +1

  34. Do LLM Embedding Spaces Recover Expert Structure?

    Jun 22, 2026Yixuan Zhu, Zhenke Duan, Fanghen LiMental HealthExpert Demonstrations

    Zhongnan University of Economics and Law

  35. Expert Consensus on Criteria for the Automated Assessment of Laparoscopic Camera Navigation

    Jun 22, 2026Amir Ebrahimzadeh, Nazila Esmaeili, Michael Ghadimi +1Surgical RobotsComputer Vision

    Center for Digital Surgery, Department of General, Visceral and Pediatric Surgery, University Medical Center Göttingen, Robert-Koch-Straße 40, Göttingen, 37075, Germany · Fraunhofer Research Institution for Individualized and Cell-based Medical Engineering (IMTE), Mönkhofer Weg 239a, Lübeck, 23562, Germany

  36. The Model as One Rater Among Several: Measuring Political Positions in Data-Sparse Regions with a Language-Model Panel

    Jun 22, 2026Tarek GaraPolitical DiscourseRater

    *Independent researcher.

  37. Toward Calibrated Mixture-of-Experts Under Distribution Shift

    Jun 18, 2026Gina Wong, Drew Prinster, Suchi Saria +2Mixture-Of-ExpertsDistribution Shifts

    Johns Hopkins University, Baltimore, MD, USA.

  38. Visual Verification Enables Inference-time Steering and Autonomous Policy Improvement

    Jun 16, 2026Mingtong Zhang, Dhruv ShahRobot PoliciesInference-Time Steering

    Princeton University

  39. TerraTransfer: Learning End-to-End Driving Policies Without Expert Demonstrations

    Jun 16, 2026Zikang Xiong, Weixin Li, Zhouchonghao Wu +6Autonomous DrivingUnsupervised On-Policy Self-Distillation

    1Applied Intuition · 2UCLA · 3UC Berkeley

  40. Tying the Loop -- Tied Expert Layers in Mixture-of-Experts Language Models

    Jun 15, 2026Martin JaggiMixture-Of-Experts Large Language ModelsExperts

    EPFL

  41. Redesign Mixture-of-Experts Routers with Manifold Power Iteration

    Jun 10, 2026Songhao Wu, Ang Lv, Ruobing Xie +1Mixture-Of-ExpertsExpert Demonstrations

    Gaoling School of Artificial Intelligence, Renmin University of China · Large Language Model Department, Tencent

  42. Trace2Policy: From Expert Behavior Traces to Self-Evolving Decision Agents

    Jun 9, 2026Junli Zha, Jinbo Wang, Chao Zhou +1Large Language Model Policy OptimizationExpert Demonstrations

    SF Express

  43. Automating the Expert Eye: A System-Agnostic Deep Learning Framework for Rare Event Discovery in Imbalanced Force Spectroscopy

    Jun 8, 2026Jorge Rodriguez-RamosDeep Learning FrameworkMicroscopy

    Independent Researcher, Marseille, France

  44. Bridging Expert Knowledge and Automated Feature Engineering via Self-Evolution

    Jun 7, 2026Varun Khurana, Vijval Ekbote, Vashu Chauhan +3Feature EngineeringExpert Demonstrations

    Adobe Media and Data Science Research · IIIT-Delhi

  45. Reinforcement Learning from Rich Feedback with Distributional DAgger

    Jun 3, 2026Rishabh Agrawal, Jacob Fein-Ashley, Paria RashidinejadDistributional Reinforcement LearningReinforcement Learning With Verifiable Reward

    University of Southern California

  46. SHAPE: Coalition-Aware Expert Pruning for Sparse Mixture-of-Experts LLMs

    Jun 3, 2026Yuhao ZhangMixture-Of-ExpertsMixture-Of-Expert Inference

    Beihang University

  47. MoG: Mixture of Experts for Graph-based Retrieval-Augmented Generation

    May 29, 2026Zheng Yuan, Chuang Zhou, Linhao Luo +4Graph-Based Retrieval Augmented GenerationExperts

    The Hong Kong Polytechnic University · Monash University · Tencent Youtu Lab

  48. Uncertainty-Aware and Temporally Regulated Expert Advice in Reinforcement Learning for Autonomous Driving

    May 28, 2026Ahmed Abouelazm, Felix Klingebiel, Philip Schörner +1Autonomous DrivingEfficient Exploration

    FZI Research Center for Information Technology, Germany · Karlsruhe Institute of Technology, Germany

  49. Feedback-to-Rubrics: Can We Learn Expert Criteria from Inline Comments?

    May 28, 2026Kotaro Yoshida, So Kuroki, Yuki Imajuku +4Task-Specific RubricsFeedback

    Sakana AI · Institute of Science Tokyo

  50. Motion-guided sparse correction enables expert-quality point tracking across diverse microscopy regimes

    May 28, 2026Leonidas Zimianitis, Pasindu Thenahandi, Kai Buckhalter +10MicroscopyAnnotations

    Department of Computer Science, Old Dominion University, Norfolk, VA 23529, USA · Department of Biology, Massachusetts Institute of Technology, Cambridge, MA 02139, USA · The Picower Institute for Learning and Memory, Massachusetts Institute of Technology, Cambridge, MA 02139, USA +4

  51. GlobalDentBench: A Multinational Benchmark for Evaluating LLM Clinical Reasoning in Dentistry with Expert Calibration

    May 23, 2026Junjie Zhao, Jingyi Liang, Zhenyang Cai +22Clinical Reasoning TrainingOcclusal Constraint

  52. ExpOS: Explainable Open-Surgery Skills Assessment Using 3D Hand Reconstruction

    May 22, 2026Roi Papo, Idan Smoller, Shlomi LauferSurgery3D Hand

    Faculty of Data and Decision Sciences, Technion - Israel Institute of Technology, Haifa, 3200003, Israel

  53. What Counts as AI Sycophancy? A Taxonomy and Expert Survey of a Fragmented Construct

    May 20, 2026Meryl Ye, Lujain Ibrahim, Jessica Y. Bo +5SycophancyTaxonomy

    Carnegie Mellon University · University of Oxford · University of Toronto +3

  54. Evaluating Deep Research Agents on Expert Consulting Work: A Benchmark with Verifiers, Rubrics, and Cognitive Traps

    May 17, 2026Tanmay Asthana, Aman Saksena, Divyansh SahuDeep ResearchExpert Demonstrations

    Deccan AI Research

  55. EMO: Frustratingly Easy Progressive Training of Extendable MoE

    May 13, 2026Linghao Jin, Chufan Shi, Huijuan Wang +4Mixture-Of-ExpertsExpert Demonstrations

    USC-ISI · MBZUAI-IFM

  56. UniPool: Learning Expert-to-Layer Ownership from Brief Global Access

    May 7, 2026Minbin Huang, Han Shi, Chuanyang Zheng +5Mixture-Of-ExpertsExperts

    The Chinese University of Hong Kong · Huawei Technologies · The University of Hong Kong

  57. Why Expert Alignment Is Hard: Evidence from Subjective Evaluation

    May 6, 2026Tzu-Mi Lin, Wataru Hirota, Tatsuya Ishigaki +2Expert DemonstrationsLarge Language Model Alignment

    National Yang Ming Chiao Tung University, Taiwan · Stockmark, Japan · National Institute of Advanced Industrial Science and Technology (AIST), Japan +1

  58. Agentic clinical reasoning over longitudinal myeloma records: a retrospective evaluation against expert consensus

    Apr 27, 2026Johannes Moll, Jannik Lübberstedt, Christoph Nuernbergk +21Clinical Reasoning TrainingLongitudinal Patient Records

    Chair for AI in Healthcare and Medicine, Technical University of Munich (TUM) and TUM University Hospital, Munich, Germany · Department of Diagnostic and Interventional Radiology, Klinikum rechts der Isar, TUM University Hospital, School of Medicine and Health, Technical University of Munich, Munich, Germany · Department of Cardiovascular Radiology and Nuclear Medicine, German Heart Center, TUM University Hospital, School of Medicine and Health, Technical University of Munich, Munich, Germany +11

  59. AI-Assisted Requirements Engineering: An Empirical Evaluation Relative to Expert Judgment

    Apr 16, 2026Oz Levy, Ilya Dikman, Natan Levy +1EngineeringEmpirical Study

    Faculty of Industrial Engineering and Technology Management, Holon Institute of Technology (HIT) Holon, Israel · School of Computer Science and Engineering Hebrew University Jerusalem (HUJI) Jerusalem, Israel

  60. ExpertGen: Scalable Sim-to-Real Expert Policy Learning from Imperfect Behavior Priors

    Mar 16, 2026Zifan Xu, Ran Gong, Maria Vittoria Minniti +10Sim-To-Real Reinforcement LearningBehavior Cloning

    Robotics and AI Institute · University of Texas at Austin · Sony AI