{"total":21,"rows":[{"id":"2312.12112","title":"Curated LLM: Synergy of LLMs and Data Curation for tabular augmentation in low-data regimes","created":"2023-12-19","cited_by_count":52,"area":null},{"id":"2310.16524","title":"Can You Rely on Your Model Evaluation? Improving Model Evaluation with Synthetic Test Data","created":"2023-10-25","cited_by_count":32,"area":null},{"id":"2310.16981","title":"Reimagining Synthetic Tabular Data Generation through Data-Centric AI: A Comprehensive Benchmark","created":"2023-10-25","cited_by_count":23,"area":null},{"id":"2211.05764","title":"DC-Check: A Data-Centric AI checklist to guide the development of reliable machine learning systems","created":"2022-11-09","cited_by_count":14,"area":null},{"id":"2311.13028","title":"DMLR: Data-centric Machine Learning Research -- Past, Present and Future","created":"2023-11-21","cited_by_count":11,"area":null},{"id":"2403.04551","title":"Dissecting Sample Hardness: A Fine-Grained Analysis of Hardness Characterization Methods for Data-Centric AI","created":"2024-03-07","cited_by_count":11,"area":null},{"id":"2310.18970","title":"TRIAGE: Characterizing and auditing training data for improved regression","created":"2023-10-29","cited_by_count":6,"area":null},{"id":"2402.08384","title":"Selective Learning: Towards Robust Calibration with Dynamic Regularization","created":"2024-02-13","cited_by_count":5,"area":null},{"id":"2410.00759","title":"Targeted synthetic data generation for tabular data via hardness characterization","created":"2024-10-01","cited_by_count":4,"area":null},{"id":"2406.13733","title":"You can't handle the (dirty) truth: Data-centric insights improve pseudo-labeling","created":"2024-06-19","cited_by_count":3,"area":null},{"id":"2410.03736","title":"CliMB: An AI-enabled Partner for Clinical Predictive Modeling","created":"2024-09-30","cited_by_count":2,"area":null},{"id":"2410.15772","title":"Mislabeled examples detection viewed as probing machine learning models: concepts, survey and extensive benchmark","created":"2024-10-21","cited_by_count":1,"area":null},{"id":"2306.04663","title":"U-PASS: an Uncertainty-guided deep learning Pipeline for Automated Sleep Staging","created":"2023-06-07","cited_by_count":0,"area":null},{"id":"2403.05174","title":"VTruST: Controllable value function based subset selection for Data-Centric Trustworthy AI","created":"2024-03-08","cited_by_count":0,"area":null},{"id":"2506.00969","title":"Data Heterogeneity Modeling for Trustworthy Machine Learning","created":"2025-06-01","cited_by_count":0,"area":null},{"id":"2509.11800","title":"Pseudo-D: Informing Multi-View Uncertainty Estimation with Calibrated Neural Training Dynamics","created":"2025-09-15","cited_by_count":0,"area":null},{"id":"2509.12094","title":"Draw a Portrait of Your Graph Data: An Instance-Level Profiling Framework for Graph-Structured Data","created":"2025-09-15","cited_by_count":0,"area":null},{"id":"2509.20786","title":"LiLAW: Lightweight Learnable Adaptive Weighting to Learn Sample Difficulty & Improve Noisy Training","created":"2025-09-25","cited_by_count":0,"area":null},{"id":"2510.24368","title":"Filtering instances and rejecting predictions to obtain reliable models in healthcare","created":"2025-10-28","cited_by_count":0,"area":null},{"id":"2511.01015","title":"What's the next frontier for Data-centric AI? Data Savvy Agents","created":"2025-11-02","cited_by_count":0,"area":null},{"id":"2609.29959","title":"Not All Confusion Is Equal: A Source-Aware Uncertainty Diagnosis for Fine-Grained Aircraft Detection","created":"2026-09-24","cited_by_count":0,"area":null}],"next_cursor":null}