Data Quality

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4 papers in the last four weeks, up 33% on the four weeks before. 0.0% of all new papers.

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CCQ: A Multi-State Child Care Quality Dataset to Support AI for Children's Health Research
Oct 5, 2026Victor Li, Yuzhang Xie, Ziwei Dong +6Data Quality
Emory University, Atlanta, GA, USA
Zero-Compute Cross-Lingual Transferability Estimation Using Typological Feature Proxies
Sep 30, 2026Dalton Raphael Harmsen, Swier Garst, Thomas van Osch +2Cross-Lingual Transfer Typology
AMOR/e Lab, Eindhoven University of Technology, Eindhoven, The Netherlands · SURF, Amsterdam, The Netherlands
ARGOS: Reinforcement Learning-Driven Multidimensional Elasticity for Service Orchestration in the Computing Continuum
Sep 29, 2026Javier Mateos-Bravo, Sergio Laso, Juan Luis Herrera +3Rate Scaling Orchestration
Department of Computer Science and Telematics Engineering, University of Extremadura, Spain · Global Process and Product Improvement S.L., Spain · Department of Mechatronics, University of Prishtina, Kosova +2
SleuthBench: Benchmarking Statistical LLM Evaluation Using Tabular Hidden Signals
Sep 28, 2026Jingyun Jia, Antoine Remond-Tiedrez, Aaron Alvarez +3Large Language Model Evaluation Model Discovery
University of Wisconsin–Madison, Intelligible · Intelligible · University of Cincinnati
From Queries to Narratives: Cultural Heritage Data Stories for Knowledge Graph Exploration and Quality Assessment
Sep 12, 2026Tabea Tietz, Torsten Schrade, Etienne Posthumus +4Cultural Heritage Sparql
FIZ Karlsruhe – Leibniz Institute for Information Infrastructure, Eggenstein-Leopoldshafen, Germany · Institute of Applied Informatics and Formal Description Methods (AIFB) of KIT, Karlsruhe, Germany · Academy of Sciences and Literature Mainz, Geschwister-Scholl-Straße 2, 55131 Mainz, Germany
How Output Format Confounds Data Quality and Capability in Instruction Tuning
Sep 2, 2026Chengguang Gan, Hanjun Wei, Yunhao Liang +3Instruction Tuning Data Quality
1Independent Researcher · University of Chinese Academy of Sciences · 3Pusan National University +2
Unsupervised Anomaly Detection for Image Dataset Quality Assurance in Multi-Center Breast MRI
Aug 17, 2026Chiara Tappermann, Steffen Renisch, Lars Ole Schwen +3Graph Anomaly Detection Detection Performance
Fraunhofer Institute for Digital Medicine MEVIS, Max-Von-Laue-Straße 2, Bremen, 28359, Bremen, Germany · University of Bremen, Bibliothekstraße 1, Bremen, 28359, Bremen, Germany · Institute of Diagnostic and Interventional Radiology, Hannover Medical School, Carl-Neuberg-Str. 1, Hannover, 28359, Lower Saxony, Germany
FedTVD: Balancing Data Quality and Quantity for Robust Federated Learning
Aug 10, 2026Radwan Selo, Majid Kundroo, Taehong KimFederated Learning Fedavg
School of Information and Communication Engineering, Chungbuk National University, Cheongju, 28644, Republic of Korea
SARC-DQ: Runtime Data-Quality Gating for Agentic AI: Silent Evidence Defects, the Incompetence Shield, and Downstream-Only Remediation
Jul 28, 2026Gaston BesansonData Quality Remediation
Universidad Torcuato Di Tella
Data Quality Profiling at Scale with Progressive Sampling: A Benchmark for Data-Centric AI Pipelines
Jul 28, 2026Laure Berti-EquilleData Quality
IRD, ESPACE-DEV, 500, rue Jean-François Breton, 34093 Montpellier, France
FIRMGrasp: A Friction-Informed Risk Margin for Robust Grasp Synthesis
Jul 27, 2026Clinton Enwerem, John S. Baras, Calin BeltaFriction Closure
Department of Electrical & Computer Engineering and Institute for Systems Research, University of Maryland, College Park, MD, USA
Data Quality over Capacity: Internalizing Documents into LoRA Adapters for Closed-Book QA
Jul 23, 2026Joan Figuerola HurtadoLarge Language Model Adaptation Low-Rank Adaptation Adapters
Independent Researcher
Enhancing the KidSat Model: Integrating Geographical Encoding and Data Quality Assessment for Childhood Poverty Prediction
Jul 9, 2026Hou Hin Ip, Ka Nam Lam, Joshua Man Yu Ng +4Satellite Imagery Image Quality Assessment
School of Mathematics University of Bristol · Department of Computer Science University of Oxford
Fidelity-Diversity Metrics for Text
Jul 6, 2026Amanda Wang, Tudor Manole, Florentina Bunea +1Diversity Data Quality
Department of Computer Science, Cornell University · Statistics and Data Science Center, Massachusetts Institute of Technology · Department of Statistics, Cornell University
IonSense-QKG: A Quantum-Readiness Metadata Framework for Lithium-Ion Battery Dataset Discovery
Jul 1, 2026Sakthi Prabhu Gunasekar, Prasanna Kumar RangarajanLithium-Ion Batteries Benchmark Datasets
Amrita School of Computing, Amrita Vishwa Vidyapeetham Coimbatore, India
Benchmarking the Alignment of Data-Quality Metrics, Human Judgment and Land-Cover Segmentation Performance for Earth Observation
Jun 23, 2026Ümit Mert Çağlar, Alptekin TemizelSynthetic Data Data Quality
Graduate School of Informatics, Middle East Technical University, Ankara, Turkey
Training Dynamics of Neural Software Defect Predictors under Coupled Data-Quality Issues
Jun 23, 2026Emmanuel Charleson Dapaah, Philip Makedonski, Jens GrabowskiData Quality Training Data
Institute of Computer Science University of Goettingen Goettingen, Germany
Data Pruning: Redundant, Problematic, and Interdependent Samples
Jun 20, 2026Leon Freese, Marthinus W. TheunissenNoisy Labels Data Quality
Faculty of Engineering, North-West University, South Africa · Centre for Artificial Intelligence Research (CAIR), South Africa · National Institute for Theoretical and Computational Sciences (NITheCS), South Africa
LIMMT: Less is More for Motion Tracking
Jun 5, 2026Yu Guan, Zekun Qi, Chenghuai Lin +7Human Motion Motion
1Tsinghua University · 2GalBot · 3Shanghai Jiao Tong University +2
TSQAgent: Rating Time Series Data Quality via Dedicated Agentic Reasoning
Jun 2, 2026Shunyu Wu, Dan Li, Haozheng Ye +6Data Quality Agentic Reasoning
Sun Yat-sen University · China University of Mining Technology · University of Science and Technology of China +2
Closing the Loop in Teleoperation: Episode-Level Data Quality Assessment and Feedback for High-Quality Demonstration Collection
May 25, 2026Gokul Narayanan, Yash Shahapurkar, Melih Erdogan +2Teleoperation Robotic Data Acquisition
are with Siemens Corporation.
How Should LLMs Consume High-Quality Data? Optimal Data Scheduling via Quality-Aware Functional Scaling Laws
May 25, 2026Zhitao Zhu, Xili Wang, Shizhe Wu +2Large Language Model Training Batch
Peking University · Meituan
An Agentic Retrieval Framework for Autonomous Context-Aware Data Quality Assessment
May 15, 2026Hadi Fadlallah, Ibrahim Dhaini, Fatima Mubarak +1Data Quality Enterprise Analytics
University of Sciences and Arts in Lebanon, Beirut, Lebanon · Saint-Joseph University of Beirut2026, Beirut, Lebanon
Position: Early-Stage Quality Assurance in Annotation Pipelines Is More Cost-Effective Than Late-Stage Validation
May 15, 2026Sunil Kothari, Sumukha Sharma Thoppanahalli Chandramouli, Naman Khandelwal +8Data Quality Annotations
Centific AI Research, Redmond, WA, USA · Centific AI Research, Hyderabad, India · Centific AI Research, Chennai, India
Automated Big Data Quality Assessment using Knowledge Graph Embeddings
May 12, 2026Hadi Fadlallah, Rima Kilany, Mitri Haber +1Data Quality Data Lakes
Saint-Joseph University, Beirut, Lebanon · Lebanese University, Beirut, Lebanon
Is Data Shapley Not Better than Random in Data Selection? Ask NASH
May 11, 2026Xiao Tian, Jue Fan, Rachael Hwee Ling Sim +3Alignment-Aware Selection Shapley Value
Department of Computer Science, National University of Singapore, Singapore · Agency for Science, Technology and Research (A*STAR), Singapore
An Efficient Metric for Data Quality Measurement in Imitation Learning
May 2, 2026Noushad Sojib, Momotaz BegumImitation Learning Imitation
Authors are with the Department of Computer Science, University of New Hampshire, USA
Probabilistic data quality assessment for structural monitoring data via outlier-resistant conditional diffusion model
Apr 29, 2026Qi Li, Yong Huang, Hui LiData Quality Outliers
Key Lab of Smart Prevention and Mitigation of Civil Engineering Disasters of the Ministry of Industry and Information Technology, School of Civil Engineering, Harbin Institute of Technology, Harbin, 150090, China · Key Lab of Structures Dynamic Behavior and Control of the Ministry of Education, Harbin Institute of Technology, Harbin, 150090, China
Learning from the Best: Smoothness-Driven Metrics for Data Quality in Imitation Learning
Apr 24, 2026Soham Kulkarni, Raayan Dhar, Yuchen CuiImitation Learning Behavior Cloning
Department of Computer Science, University of California, Los Angeles, CA 90095, USA
Evian: Towards Explainable Visual Instruction-tuning Data Auditing
Apr 22, 2026Zimu Jia, Mingjie Xu, Andrew Estornell +1Recent Vision-Language Models Data Quality
1The Hong Kong University of Science and Technology (Guangzhou) · 2ByteDance Seed
QAQ: Bidirectional Semantic Coherence for Selecting High-Quality Synthetic Code Instructions
Mar 12, 2026Jiayin Lei, Ming Ma, Yunxi Duan +2Synthetic Data Data Quality
Beijing University of Technology, Beijing, 100124, China · Institute of Neuroscience, State Key Laboratory of Brain Cognition and Brain-inspired Intelligence Technology, Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, 200031, China · University of Chinese Academy of Sciences, Beijing, 100049, China +1
PQMass: Probabilistic Assessment of the Quality of Generative Models using Probability Mass Estimation
Feb 6, 2024Pablo Lemos, Sammy Sharief, Esmeralda S. Whitammer +4Generative Models Distributional Fidelity
1Mila – Québec Artificial Intelligence Institute · 2Ciela Institute · 3Université de Montréal +3

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

Victor Li, Yuzhang Xie, Ziwei Dong, Qingyang Zhu+5

Emory University, Atlanta, GA, USA

Data Quality

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High-quality child care in early life is a critical determinant of children's growth and development. Research on child care quality has been constrained by fragmented, non-research-friendly, and privacy-bound datasets. We present CCQ (Child Care Quality), a large-scale, de-identified dataset for applied data science research at the intersection of AI and early childhood health. CCQ integrates 59,372 child care provider records across 12 U.S. states, covering diverse provider types as well as data schemas. To ensure research utility while protecting privacy, we implement an automated, LLM-based curation pipeline that anonymizes, cleans, and standardizes raw state records into two complementary releases: a cleaned textual release and a fully preprocessed tabular release. We also benchmark traditional machine learning models, tabular foundation models, and language models on quality rating prediction and important features analytics. Within a state, tabular classifiers on the preprocessed tables perform best. Across states, zero-shot transfer is near chance, but modest target-state supervision recovers most of the within-state performance, and pretraining on other states benefits finetuned language models. We release both datasets with all code to accelerate AI-driven research on child care quality and ultimately improve children's health and development.

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Latest papers 32