Expert Demonstrations

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Period ending 2026-09-21

2 new papers

A weekly snapshot of new work published in Expert Demonstrations.

Period ending 2026-09-07

4 new papers

A weekly snapshot of new work published in Expert Demonstrations.

55 papers

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Edustories: A Collection of Real-world Case Studies from Classroom Practices
Sep 17, 2026Michal Štefánik, Jan Nehyba, Jirina Karasova +4Classrooms Case Study
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 MetzgerTranslation Quality Triage
MoEMB: Scaling Universal Multimodal Embeddings with Efficient Mixture-of-Experts Models
Sep 8, 2026Xuanming Cui, Shlok Kumar Mishra, Wentao Bao +6Multimodal Embeddings Mixture-of-Experts Models
Encoded Early, Used Late: Where Transformers Begin to Act on an Inferred Partner's Expertise
Sep 7, 2026Mika Okamoto, Gabriele SartiTransformer Encoder Expert Demonstrations
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 Learning Robotic Manipulation Policies
GazeRefine: Expert Gaze as a Test-Time Prompt for Training-Free Medical Image Segmentation
Sep 1, 2026Mohammed Oussama Benyahia, Marouane Tliba, Mohamed Amine Kerkouri +10Few-Shot Medical Image Segmentation Medical Image Segmentation
AnalysisBank: An Expert Analysis Pattern Library for Financial Report Generation
Sep 1, 2026Yajing Yang, Yunshan Ma, Kelvin J. L. Koa +1Report Finance Domain
mimeo: Compiling Public Expert Corpora into Agent Skills and Testing What Transfers
Aug 31, 2026Timothy KassisExpert Demonstrations Coding Agents
RoutePack: Expert Placement and Attention-Aware Data Packing for MoE Reinforcement Learning
Aug 12, 2026Yibo Shen, Xudong Han, Xiaowei Zhu +2Mixture-of-Experts Models Expert Demonstrations
Beyond Routing: Decoupling Expert Dispatch and Aggregation in Sparse Mixture-of-Experts
Aug 9, 2026Zongfei LiMixture-of-Experts Models Experts
The Evolution of Mixture-of-Experts Architectures in Large Language Models: Routing, Topology, Load Balancing, and Expert Parallelism
Aug 9, 2026Jiguo LiMixture-of-Experts Models Expert Demonstrations
EasyBalance: Cross-Layer Load Balancing in Distributed MoE Inference
Aug 8, 2026Yize Wu, Ke Gao, Ling Li +1Load Balancing Mixture-Of-Expert Inference
Shape Mutating Expert Compression:LorExperts and BTExperts
Aug 7, 2026Inesh Chakrabarti, Sourjya Roy, Bowen Bao +3Mixture-Of-Expert Language Models Experts
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 +3Musculoskeletal Care Key Vertebral Morphometry Variables
AIDE: Automated Instruction via Distilled Expertise for Reference-Free Motor Skill Coaching
Aug 4, 2026Yoshiki ItoMotor Skills Instruction
AutoCause: A Python framework that automates expert decisions in environmental time-series causal discovery
Jul 31, 2026Marco Ruiz, Miguel Arana-Catania, David R. Ardila +1Causal Foundation Models Causal Reasoning
When Does On-Policy Interaction Help? Representational Tradeoffs in Value-Based Imitation Learning
Jul 31, 2026Luca Viano, Antoine Moulin, Audrey Huang +3Imitation Learning On-Policy
From Expert Reduction to Behavioral Divergence: Tracing Numerical State through Sparse MoE Inference
Jul 30, 2026Tianyang ZhuMixture-Of-Expert Inference Mixture-of-Experts Models
Route by Kinematics, Act by Observation: Kinematics-Supervised Expert Routing in MoE-Augmented VLA
Jul 29, 2026Tianhang Yang, Yanze Zheng, Junjie Wang +3Kinematics Robot Systems
DraftExpert: Expansion-Aware Self-Speculative Decoding for End-Device MoE Inference
Jul 27, 2026Dengke HanMixture-Of-Expert Inference Mixture-of-Experts Models
Decentralised Consensus Learning Networks: SME Rotation Without Centralised Reward
Jul 27, 2026Florin NeaguBelief Expert Demonstrations
Hierarchical Copula-Gumbel-Top-\texorpdfstring{ $K$ }{K} Routing: Two-Sided Dependence Control for Frozen Mixture-of-Experts at Fixed Per-Token Routing Laws
Jul 25, 2026Richard Yi Da XuMixture-of-Experts Models Gaussian Copula
Emergent Compositional Skills in Mixture-of-Experts VLAs
Jul 22, 2026Shlok Shah, Rhiaan Jhaveri, Tharun Kumar Tiruppali Kalidoss +3Robot Policies Mixture-of-Experts Models
Plausibility-Driven Prioritization of Candidate Biomedical Annotations
Jul 22, 2026Emanuele Cavalleri, Miad Alavinezhad, Dario Malchiodi +1Biomedical Knowledge Graph Medical Ontology
From Global to Factor-Wise Expert Composition in Discrete Diffusion Models
Jul 13, 2026Haozhe Huang, Yudong Xu, Abhijoy Mandal +1Discrete Diffusion Model Factor
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 Learning Large Language Model Post-Training
DeepTrans Studio: Turning Expert Interventions into Shared Team Knowledge in Agentic Translation Workflows
Jun 29, 2026Ziyang Lian, Qingya Zhang, Hao Wang +5Agentic Workflows Machine Translation
Do LLM Embedding Spaces Recover Expert Structure?
Jun 22, 2026Yixuan Zhu, Zhenke Duan, Fanghen LiMental Health Expert Demonstrations
Expert Consensus on Criteria for the Automated Assessment of Laparoscopic Camera Navigation
Jun 22, 2026Amir Ebrahimzadeh, Nazila Esmaeili, Michael Ghadimi +1Robot-Assisted Minimally Invasive Surgery Computer Vision
Toward Calibrated Mixture-of-Experts Under Distribution Shift
Jun 18, 2026Gina Wong, Drew Prinster, Suchi Saria +2Mixture-of-Experts Models Distribution Shifts
MawForge: Memory-Bounded Expert Materialization for Local Mixture-of-Experts Inference
Jun 17, 2026Craig OpieMixture-Of-Expert Inference Expert Demonstrations
Visual Verification Enables Inference-time Steering and Autonomous Policy Improvement
Jun 16, 2026Mingtong Zhang, Dhruv ShahRobot Policies Inference-Time Control
TerraTransfer: Learning End-to-End Driving Policies Without Expert Demonstrations
Jun 16, 2026Zikang Xiong, Weixin Li, Zhouchonghao Wu +6Autonomous Driving Imitation Learning
Tying the Loop -- Tied Expert Layers in Mixture-of-Experts Language Models
Jun 15, 2026Martin JaggiMixture-Of-Expert Language Models Experts
Redesign Mixture-of-Experts Routers with Manifold Power Iteration
Jun 10, 2026Songhao Wu, Ang Lv, Ruobing Xie +1Mixture-of-Experts Models Expert Demonstrations
Profy: Interpretable Visualization of Expertise-Dependent Motor Skills Toward Supporting Piano Practice
Jun 9, 2026Kazuki Kawamura, Fujiki Nakamura, Hayato Nishioka +3Piano Expert Demonstrations
Automating the Expert Eye: A System-Agnostic Deep Learning Framework for Rare Event Discovery in Imbalanced Force Spectroscopy
Jun 8, 2026Jorge Rodriguez-RamosMicroscopy Deep Learning Framework
Bridging Expert Knowledge and Automated Feature Engineering via Self-Evolution
Jun 7, 2026Varun Khurana, Vijval Ekbote, Vashu Chauhan +3Feature Engineering Human Annotations
SHAPE: Coalition-Aware Expert Pruning for Sparse Mixture-of-Experts LLMs
Jun 3, 2026Yuhao ZhangMixture-of-Experts Models Mixture-Of-Expert Inference
MoG: Mixture of Experts for Graph-based Retrieval-Augmented Generation
May 29, 2026Zheng Yuan, Chuang Zhou, Linhao Luo +4Graph-Based Retrieval Augmented Generation Experts
Uncertainty-Aware and Temporally Regulated Expert Advice in Reinforcement Learning for Autonomous Driving
May 28, 2026Ahmed Abouelazm, Felix Klingebiel, Philip Schörner +1Autonomous Driving Control System Operator Learning
Feedback-to-Rubrics: Can We Learn Expert Criteria from Inline Comments?
May 28, 2026Kotaro Yoshida, So Kuroki, Yuki Imajuku +4Reddit Feedback Learning
Motion-guided sparse correction enables expert-quality point tracking across diverse microscopy regimes
May 28, 2026Leonidas Zimianitis, Pasindu Thenahandi, Kai Buckhalter +10Microscopy Annotations
GlobalDentBench: A Multinational Benchmark for Evaluating LLM Clinical Reasoning in Dentistry with Expert Calibration
May 23, 2026Junjie Zhao, Jingyi Liang, Zhenyang Cai +22Clinical Reasoning Benchmarking Large Language Models
Evaluating Deep Research Agents on Expert Consulting Work: A Benchmark with Verifiers, Rubrics, and Cognitive Traps
May 17, 2026Tanmay Asthana, Aman Saksena, Divyansh SahuDeep Research Verifier
Children's English Reading Story Generation via Supervised Fine-Tuning of Compact LLMs with Controllable Difficulty and Safety
May 13, 2026Qian Shen, Fanghua Cao, Min Yao +3Llm-Generated Stories Large Language
Online Learning-to-Defer with Varying Experts
May 12, 2026Dang Hoang Duy, Yannis Montreuil, Maxime Meyer +3Learning-Augmented Algorithms Experts
Fast MoE Inference via Predictive Prefetching and Expert Replication
May 12, 2026Ankit Jyothish, Ali Jannesari, Aishwarya Sarkar +1Mixture-Of-Expert Inference LLM Inference Efficiency
Agentic clinical reasoning over longitudinal myeloma records: a retrospective evaluation against expert consensus
Apr 27, 2026Johannes Moll, Jannik Lübberstedt, Christoph Nuernbergk +21Clinical Reasoning Longitudinal Patient Records
ELMoE-3D: Leveraging Intrinsic Elasticity of MoE for Hybrid-Bonding-Enabled Self-Speculative Decoding in On-Premises Serving
Apr 16, 2026Yuseon Choi, Jingu Lee, Jungjun Oh +5Mixture-of-Experts Models Speculative Decoding
ButterflyMoE: Compression-Scalable Ternary Experts via Structured Butterfly Orbits
Jan 20, 2026Aryan KarmoreExperts Expert Demonstrations
CXRAgent: Director-Orchestrated Multi-Stage Reasoning for Chest X-Ray Interpretation
Oct 24, 2025Jinhui Lou, Yan Yang, Zhou Yu +4Chest X-Ray Xai
Good Enough? An Investigation on the Impact of Label Quality in Large-Scale Medical Datasets
May 27, 2025Alexander Jaus, Zdravko Marinov, Constantin Seibold +4Medical Imaging Datasets Pseudo-Labeling
Dynamic Expert Quantization for Scalable Mixture-of-Experts Inference
Date pendingKexin Chu, Dawei Xiang, Zixu Shen +3Mixture-Of-Expert Inference Mixed-Precision Quantization
DeepResearch Bench II: Diagnosing Deep Research Agents via Rubrics from Expert Reports
Date pendingRuizhe Li, Mingxuan Du, Benfeng Xu +3Deep Research Agentic Benchmarks

Sep 17, 2026 · cs.CLJ/K move · Enter open · S save

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

Michal Štefánik, Jan Nehyba, Jirina Karasova, Martin Fico+3

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

Despite the widely recognized potential of AI in education, most prior work has focused on individualized student assistance. In contrast, the majority of educational practice worldwide still takes place in collective classroom settings. To enable researchers to study AI assistance in collective teaching, we introduce Edustories, a dataset of 1,492 teacher-written case studies describing real elementary and high-school classroom situations involving challenging student behavior, pedagogical interventions, and their outcomes. Among many other applications, Edustories enables evaluating LLMs' ability to predict the success of teacher interventions, crucial for providing practicing teachers with useful feedback. Comparing the latest models from four language-model families against expert assessments, we find that current models fall short of human expertise in predicting classroom outcomes; the strongest models reach 58% accuracy compared to 64% of human experts. This gap highlights both the limitations and the emerging potential of AI as assistants for practicing teachers.

Classrooms Case Study Large Language Model Output Expert Demonstrations

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