{"total":18,"rows":[{"id":"2110.10234","title":"Collaboration Challenges in Building ML-Enabled Systems: Communication, Documentation, Engineering, and Process","created":"2021-10-19","cited_by_count":56,"area":null},{"id":"2312.13382","title":"DSPy Assertions: Computational Constraints for Self-Refining Language Model Pipelines","created":"2023-12-20","cited_by_count":27,"area":null},{"id":"2110.01232","title":"Benchmarking Safety Monitors for Image Classifiers with Machine Learning","created":"2021-10-04","cited_by_count":14,"area":null},{"id":"2107.14203","title":"Did the Model Change? Efficiently Assessing Machine Learning API Shifts","created":"2021-07-29","cited_by_count":13,"area":null},{"id":"2202.05302","title":"Trust in AI: Interpretability is not necessary or sufficient, while black-box interaction is necessary and sufficient","created":"2022-02-10","cited_by_count":13,"area":null},{"id":"2108.11884","title":"Enabling SQL-based Training Data Debugging for Federated Learning","created":"2021-08-26","cited_by_count":8,"area":null},{"id":"2101.09449","title":"Reproducibility, Replicability and Beyond: Assessing Production Readiness of Aspect Based Sentiment Analysis in the Wild","created":"2021-01-23","cited_by_count":7,"area":null},{"id":"2209.08443","title":"HAPI: A Large-scale Longitudinal Dataset of Commercial ML API Predictions","created":"2022-09-18","cited_by_count":6,"area":null},{"id":"2301.13476","title":"An investigation of challenges encountered when specifying training data and runtime monitors for safety critical ML applications","created":"2023-01-31","cited_by_count":4,"area":null},{"id":"2302.11049","title":"Framework for Certification of AI-Based Systems","created":"2023-02-21","cited_by_count":4,"area":null},{"id":"2412.06869","title":"Safety Monitoring of Machine Learning Perception Functions: a Survey","created":"2024-12-09","cited_by_count":3,"area":null},{"id":"2104.01742","title":"Explainability-aided Domain Generalization for Image Classification","created":"2021-04-05","cited_by_count":1,"area":null},{"id":"2411.10692","title":"DEBUG-HD: Debugging TinyML models on-device using Hyper-Dimensional computing","created":"2024-11-16","cited_by_count":1,"area":null},{"id":"2602.18394","title":"Self-Aware Object Detection via Degradation Manifolds","created":"2026-02-20","cited_by_count":1,"area":null},{"id":"2307.07507","title":"MGit: A Model Versioning and Management System","created":"2023-07-14","cited_by_count":0,"area":null},{"id":"2508.00197","title":"Graph Lineages and Skeletal Graph Products","created":"2025-07-31","cited_by_count":0,"area":null},{"id":"2601.01839","title":"The Machine Learning Canvas: Empirical Findings on Why Strategy Matters More Than AI Code Generation","created":"2026-01-05","cited_by_count":0,"area":null},{"id":"2603.25499","title":"Knowledge-Guided Failure Prediction: Detecting When Object Detectors Miss Safety-Critical Objects","created":"2026-03-26","cited_by_count":0,"area":null}],"next_cursor":null}