Training Data Curation

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9 papers in the last four weeks, up 80% on the four weeks before. 0.1% of all new papers.

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  1. A Study on Improving Multi-class Audio Source Separation Via Decoupled CLAP Query Optimization and an Automated Data Engine

    Oct 7, 2026Amirhossein Hajavi, Hanhee Lee, Pushya Jain +4Audio Source SeparationPrompt Optimization

    Noah’s Ark Lab, Huawei Technologies Canada co.

  2. Hard, Yet Reducible: Controlled Forward Transfer for Synthetic Degradation Curation

    Oct 7, 2026Chunming He, Kailai Zhou, Jiaming Zuo +6Training Data CurationSynthetic Data Selection

    Tsinghua University, China · X3000 Inspection Co., Ltd · AI4X Team, Nanyang Technological University, Singapore +1

  3. Kuration SDK: Addressing the Virtual2Real Gap via Data Curation

    Oct 7, 2026Nirmit Desai, Eric Song, Mayank Sengupta +4Training Data CurationAction-Conditioned World Models

    AIntropy AI

  4. LeCuration: A Tiny World Model as a Data Curation Multi-Tool

    Oct 7, 2026Mayank Sengupta, Nirmit Desai, Eric Song +1Training Data CurationWorld Models

    AIntropy AI

  5. Beyond the Model: The Critical Role of Data Filtering in Clinical Machine Learning

    Oct 5, 2026Noah Subedar, Colin Campbell, Wenjing Zhang +3Training Data CurationML Reproducibility

    School of Computer Science, University of Guelph, Ontario, Canada · St. Joseph’s Healthcare Hamilton, Hamilton, Ontario, Canada · The Research Institute of St. Joe’s Hamilton, Hamilton, Ontario, Canada +1

  6. CCQ: A Multi-State Child Care Quality Dataset to Support AI for Children's Health Research

    Oct 5, 2026Victor Li, Yuzhang Xie, Ziwei Dong +6HealthcareTraining Data Curation

    Emory University, Atlanta, GA, USA

  7. Effective Synthetic Data Curation Requires Group-Level Signals

    Sep 30, 2026Cathy Jiao, Chenyan XiongSynthetic Data PretrainingTraining Data Curation

    Language Technologies Institute, Carnegie Mellon University

  8. Curating Synthetic Data for Task-Specific Visual Perception

    Sep 29, 2026Saptarshi Neil Sinha, Paul Julius Kühn, Michael WeinmannSynthetic-to-Real Domain AdaptationSynthetic Data Generation

    Fraunhofer IGD, 64283 Darmstadt, Germany · Delft University of Technology, 2628 CD Delft, Netherlands

  9. Reference-Grounded Data Curation for Instruction-Following Thai-English Machine Translation

    Sep 28, 2026Thodsaporn Chay-intr, Krittapad Harnchang, Mahannop Thabua +2Training Data CurationMachine Translation

    iApp Technology, Thailand · Intelligent Informatics and Service Innovation Research Center, Thailand · Artificial Intelligence Entrepreneur Association of Thailand (AIEAT), Thailand +1

  10. mbariml: a curation pipeline for turning deep-sea imagery and video into object-detection training data

    Sep 21, 2026Lonny Lundsten, Kevin Barnard, Dave CaressTraining Data CurationHuman-in-the-Loop Annotation

    Monterey Bay Aquarium Research Institute

  11. Towards participatory speech dataset curation: A queer case study and conceptual framework

    Sep 21, 2026Brooklyn Sheppard, Anaelia Ovalle, Adina Williams +1Training Data Curation

    University of Calgary · Meta FAIR

  12. Can Data Attribution Filter Out Subliminal Learning? Not Reliably

    Sep 17, 2026Moritz Weckbecker, Sweta Jena, Jonas Müller +5Gradient-Based AttributionTraining Data Curation

    Department of Artificial Intelligence, Fraunhofer Heinrich Hertz Institute · International Institute of Information Technology Hyderabad · Department of Electrical Engineering and Computer Science, Technische Universität Berlin +4

  13. SynthSentry: Detecting Synthetic Data Contamination in Language Model Training Data

    Sep 14, 2026Praveen Kumar Myakala, Ravichandra Namburi, Sowmya Keragodu Jayaramu +1AI-Generated Text DetectionTraining Data Curation

    Independent AI Researcher Melissa, USA · Independent Researcher Frisco, USA · Independent Researcher Austin, USA

  14. Feyospace-v1: How the Cyber Mercury Seven Trained Frontier Cyber Models

    Sep 8, 2026Zongjie Li, Alan Z. W, John Nicolas J +4Training Data CurationCybersecurity

    Vera Praxis Lab

  15. Stabilizing Instruction Supervision for Instruct-TTS via Controllable Diversification and Drift Filtering

    Sep 8, 2026Yizhong Geng, Kecan Mao, Qifei Li +6TTS EvaluationTraining Data Curation

    Beijing University of Posts and Telecommunications, China · Li Auto, China

  16. VidaForge: Open Research Infrastructure for Video Pretraining Data Recipes

    Sep 6, 2026Yan Ma, Jiadi Su, Zhulin Hu +4Vision Foundation ModelsTraining Data Curation

    Fudan University · Generative Artificial Intelligence Research Lab (GAIR) · Shanghai Jiao Tong University +2

  17. Closing Cost-Quality Gap in Document VLMs: Difficulty-Aware Data Curation and Quality-Adjusted Deployment Economics

    Sep 1, 2026Maksim Evdokimov, Matvey Ivanov, Dmitrii Tsiupin +3Training Data CurationDocument Information Extraction

    T-Tech

  18. LLM Post-Training as Brownfield Maintenance: An Industrial Perspective on Dataware Engineering

    Aug 31, 2026Gopi Krishnan Rajbahadur, Amir M. Ebrahimi, Boyuan Chen +1Training Data CurationLLM Post-Training

    Queen’s University, Canada · Centre for Software Excellence, Huawei Technologies, Canada

  19. DataFoundry: Evolving Data Preparators via Recursive Self-Improvement

    Aug 30, 2026Cehao Yang, Xiaojun Wu, Xueyuan Lin +4Training Data CurationDomain Adaptation for LLMs

    1IDEA Research, International Digital Economy Academy · 2Hong Kong University of Science and Technology (Guangzhou) · 3DataArc Tech Ltd.

  20. Agentic Instruction Data Selection: Let DataMaster Interpret Your Intent

    Aug 11, 2026Fanqi Zhou, Qiaosheng Chen, Zixian Huang +1Training Data CurationInstruction-Tuning Data Selection

    State Key Laboratory of Novel Software Technology, Nanjing University · Shanghai Artificial Intelligence Laboratory

  21. Unmasking Removal-Budget Confounding: A Matched Operating-Point Evaluation Framework for Adaptive Data Cleaning

    Aug 6, 2026Wei-Hsiang Chen, Pin-Hsuan Yu, Chen-Hsuan Fang +1Training Data CurationLearning with Noisy Labels

    Department of Electrical Engineering, National Taiwan Ocean Univ., Keelung City, Taiwan · AI Research Center, National Taiwan Ocean Univ., Keelung City, Taiwan.

  22. A GitOps-Driven Annotation Catalog for Fully Automatic Railway Operations

    Aug 5, 2026Martin Köppel, Tobias Cronauer, Zekiye Ilknur-Öz +3Data ProvenanceIntelligent Transportation Systems

    SIGNON Deutschland GmbH Berlin, Germany · DB Systel GmbH Frankfurt, Germany · DB InfraGO AG Berlin, Germany +1

  23. Scalable Frequency- and Length-Aware Subdocument Deduplication for Large Language Model Pretraining

    Aug 4, 2026Hai Wang, Chenhao Wang, Qifeng Cai +6Language Model PretrainingTraining Data Curation

    Hunyuan Team, Tencent

  24. RTLCurator: Label-Efficient Data Curation for RTL Generation

    Jul 31, 2026Siyang Cai, Cangyuan Li, Wenjing Chang +4Training Data CurationTraining Data Selection

    School of Advanced Interdisciplinary Sciences, University of Chinese Academy of Sciences, Beijing, China · CICS, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China · Computer Network Information Center, Chinese Academy of Sciences, Beijing, China +1

  25. SDO: Structure-Aware Data Organization for Efficient LLM Post-Training

    Jul 29, 2026Jinliang Gao, Ning Yang, Hai Wang +2Training Data CurationEfficient Language Model Training

    Institute of Automation, Chinese Academy of Sciences · National University of Defense Technology

  26. DataOrchestra: Learning to Orchestrate Per-Example Curation of Pretraining Data

    Jul 27, 2026Zhen Huang, Yikun Wang, Shijie Xia +1Language Model PretrainingTraining Data Curation

    1Fudan University · 3SII · 4GAIR +1

  27. From Data to Device: ELMOD An Efficient German-First 2.7B Language Model for Mobile Inference

    Jul 27, 2026Darina Gold, Alexander Schwirjow, Viktor Haag +4On-Device Language Model InferenceTraining Data Curation

    IIS Fraunhofer

  28. DecoupleMix: Decoupled Ratio Search and Convex Allocation for Scalable VLM Data Recipes

    Jul 27, 2026Jiahao Xie, Zhongbin Guo, Qianle Wang +4Training Data CurationData Mixture Optimization

    ByteDance · ByteDance Commercial AI Team

  29. Statistically Supported LLM Ingredient and Recipe Data Collection in Computational Nutrition

    Jul 25, 2026James Izzard, Hassan Eshkiki, Fabio CaraffiniLLM GroundingTraining Data Curation

    Swansea University, Department of Computer Science, Bay Campus, Swansea, SA1 8EN, Wales, UK

  30. Test-Time Coverage: Test-Conditioned Data Curation for Deployment-Aware Learning

    Jul 18, 2026Nadine Chang, Maying Shen, Shizhe Diao +6Training Data Curation

    NVIDIA · NVIDIA & University of Ottawa