{"total":58,"rows":[{"id":"2305.13172","title":"Editing Large Language Models: Problems, Methods, and Opportunities","created":"2023-05-22","cited_by_count":372,"area":null},{"id":"2209.02299","title":"A Survey of Machine Unlearning","created":"2022-09-06","cited_by_count":312,"area":"safety"},{"id":"2401.01286","title":"A Comprehensive Study of Knowledge Editing for Large Language Models","created":"2024-01-02","cited_by_count":163,"area":null},{"id":"2308.07061","title":"Machine Unlearning: Solutions and Challenges","created":"2023-08-14","cited_by_count":93,"area":"safety"},{"id":"2410.11143","title":"LLM Unlearning via Loss Adjustment with Only Forget Data","created":"2024-10-14","cited_by_count":75,"area":"safety"},{"id":"2307.09218","title":"A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual Learning","created":"2023-07-16","cited_by_count":69,"area":null},{"id":"2307.14192","title":"Unveiling Security, Privacy, and Ethical Concerns of ChatGPT","created":"2023-07-26","cited_by_count":53,"area":null},{"id":"2405.07406","title":"Machine Unlearning: A Comprehensive Survey","created":"2024-05-13","cited_by_count":35,"area":"safety"},{"id":"2203.11491","title":"Making Recommender Systems Forget: Learning and Unlearning for Erasable Recommendation","created":"2022-03-22","cited_by_count":29,"area":"safety"},{"id":"2312.10336","title":"Certified Minimax Unlearning with Generalization Rates and Deletion Capacity","created":"2023-12-16","cited_by_count":29,"area":"safety"},{"id":"2307.14754","title":"Fair Machine Unlearning: Data Removal while Mitigating Disparities","created":"2023-07-27","cited_by_count":26,"area":"safety"},{"id":"2302.08990","title":"Efficiently Forgetting What You Have Learned in Graph Representation Learning via Projection","created":"2023-02-17","cited_by_count":20,"area":"safety"},{"id":"2306.03558","title":"Machine Unlearning: A Survey","created":"2023-06-06","cited_by_count":19,"area":"safety"},{"id":"2404.12922","title":"Is Retain Set All You Need in Machine Unlearning? Restoring Performance of Unlearned Models with Out-Of-Distribution Images","created":"2024-04-19","cited_by_count":18,"area":"safety"},{"id":"2411.15537","title":"MUNBa: Machine Unlearning via Nash Bargaining","created":"2024-11-23","cited_by_count":17,"area":"safety"},{"id":"2209.00939","title":"An Introduction to Machine Unlearning","created":"2022-09-02","cited_by_count":13,"area":"safety"},{"id":"2312.02052","title":"DUCK: Distance-based Unlearning via Centroid Kinematics","created":"2023-12-04","cited_by_count":13,"area":"safety"},{"id":"2402.15109","title":"Remaining-data-free Machine Unlearning by Suppressing Sample Contribution","created":"2024-02-23","cited_by_count":13,"area":"safety"},{"id":"2309.14054","title":"Adapt then Unlearn: Exploring Parameter Space Semantics for Unlearning in Generative Adversarial Networks","created":"2023-09-25","cited_by_count":11,"area":"safety"},{"id":"2405.15495","title":"Towards Natural Machine Unlearning","created":"2024-05-24","cited_by_count":11,"area":"safety"},{"id":"2603.26569","title":"Machine Unlearning under Retain-Forget Entanglement","created":"2026-03-27","cited_by_count":11,"area":"safety"},{"id":"2412.00782","title":"Memories of Forgotten Concepts","created":"2024-12-01","cited_by_count":10,"area":"diffusion"},{"id":"2505.23760","title":"Model Immunization from a Condition Number Perspective","created":"2025-05-29","cited_by_count":8,"area":null},{"id":"2511.06793","title":"Cross-Modal Unlearning via Influential Neuron Path Editing in Multimodal Large Language Models","created":"2025-11-10","cited_by_count":8,"area":"mllm"},{"id":"2312.05586","title":"Deeper Understanding of Black-box Predictions via Generalized Influence Functions","created":"2023-12-09","cited_by_count":7,"area":null},{"id":"2405.05455","title":"Automated Program Repair: Emerging trends pose and expose problems for benchmarks","created":"2024-05-08","cited_by_count":7,"area":null},{"id":"2503.02312","title":"Go Beyond Your Means: Unlearning with Per-Sample Gradient Orthogonalization","created":"2025-03-04","cited_by_count":7,"area":"safety"},{"id":"2307.03363","title":"Class-wise Federated Unlearning: Harnessing Active Forgetting with Teacher-Student Memory Generation","created":"2023-07-07","cited_by_count":6,"area":"safety"},{"id":"2307.15960","title":"Recommendation Unlearning via Matrix Correction","created":"2023-07-29","cited_by_count":6,"area":null},{"id":"2408.14393","title":"CURE4Rec: A Benchmark for Recommendation Unlearning with Deeper Influence","created":"2024-08-26","cited_by_count":6,"area":"safety"},{"id":"2505.08576","title":"MUBox: A Critical Evaluation Framework of Deep Machine Unlearning","created":"2025-05-13","cited_by_count":6,"area":"safety"},{"id":"2508.15127","title":"Towards Source-Free Machine Unlearning","created":"2025-08-20","cited_by_count":6,"area":"safety"},{"id":"2308.14412","title":"Task-Aware Machine Unlearning and Its Application in Load Forecasting","created":"2023-08-28","cited_by_count":5,"area":null},{"id":"2404.03693","title":"Improve Knowledge Distillation via Label Revision and Data Selection","created":"2024-04-03","cited_by_count":5,"area":"distill"},{"id":"2502.15010","title":"Obliviate: Efficient Unmemorization for Protecting Intellectual Property in Large Language Models","created":"2025-02-20","cited_by_count":5,"area":"safety"},{"id":"2211.16488","title":"Taming Normalizing Flows","created":"2022-11-29","cited_by_count":3,"area":null},{"id":"2403.16246","title":"Partially Blinded Unlearning: Class Unlearning for Deep Networks a Bayesian Perspective","created":"2024-03-24","cited_by_count":3,"area":"safety"},{"id":"2404.15760","title":"Debiasing Machine Unlearning with Counterfactual Examples","created":"2024-04-24","cited_by_count":3,"area":"safety"},{"id":"2410.08557","title":"MUSO: Achieving Exact Machine Unlearning in Over-Parameterized Regimes","created":"2024-10-11","cited_by_count":3,"area":"safety"},{"id":"2503.00062","title":"CRFU: Compressive Representation Forgetting Against Privacy Leakage on Machine Unlearning","created":"2025-02-27","cited_by_count":3,"area":"safety"},{"id":"2404.11056","title":"LMEraser: Large Model Unlearning through Adaptive Prompt Tuning","created":"2024-04-17","cited_by_count":2,"area":"safety"},{"id":"2405.20620","title":"\"Forgetting\" in Machine Learning and Beyond: A Survey","created":"2024-05-31","cited_by_count":2,"area":null},{"id":"2409.05208","title":"Influence-based Attributions can be Manipulated","created":"2024-09-08","cited_by_count":2,"area":null},{"id":"2405.07317","title":"Machine Unlearning in Contrastive Learning","created":"2024-05-12","cited_by_count":1,"area":"safety"},{"id":"2504.08364","title":"DRIP: DRop unImportant data Points -- Enhancing Machine Learning Efficiency with Grad-CAM-Based Real-Time Data Prioritization for On-Device Training","created":"2025-04-11","cited_by_count":1,"area":null},{"id":"2507.23257","title":"Efficient Machine Unlearning via Influence Approximation","created":"2025-07-31","cited_by_count":1,"area":"safety"},{"id":"2508.01620","title":"IMU: Influence-guided Machine Unlearning","created":"2025-08-03","cited_by_count":1,"area":"safety"},{"id":"2603.22870","title":"Designing to Forget: Deep Semi-parametric Models for Unlearning","created":"2026-03-24","cited_by_count":1,"area":"safety"},{"id":"2505.06520","title":"PRUNE: A Patching Based Repair Framework for Certifiable Unlearning of Neural Networks","created":"2025-05-10","cited_by_count":0,"area":"safety"},{"id":"2507.20566","title":"Unlearning of Knowledge Graph Embedding via Preference Optimization","created":"2025-07-28","cited_by_count":0,"area":"alignment"},{"id":"2509.04785","title":"Graph Unlearning: Efficient Node Removal in Graph Neural Networks","created":"2025-09-05","cited_by_count":0,"area":null},{"id":"2509.23443","title":"Factor Decorrelation Enhanced Data Removal from Deep Predictive Models","created":"2025-09-27","cited_by_count":0,"area":null},{"id":"2509.23895","title":"Preserving Cross-Modal Stability for Visual Unlearning in Multimodal Scenarios","created":"2025-09-28","cited_by_count":0,"area":"safety"},{"id":"2602.17088","title":"MeGU: Machine-Guided Unlearning with Target Feature Disentanglement","created":"2026-02-19","cited_by_count":0,"area":"safety"},{"id":"2604.07386","title":"Label Leakage Attacks in Machine Unlearning: A Parameter and Inversion-Based Approach","created":"2026-04-08","cited_by_count":0,"area":"safety"},{"id":"2605.08730","title":"Classification-Head Bias in Class-Level Machine Unlearning: Diagnosis, Mitigation, and Evaluation","created":"2026-05-09","cited_by_count":0,"area":"safety"},{"id":"2608.16700","title":"Learning to Unlearn: Machine Unlearning via Learning the Unlearning Behaviors","created":"2026-08-17","cited_by_count":0,"area":"safety"},{"id":"2609.03972","title":"OSR: Output Space Redistribution for Adaptive Label Removal in Classification Models","created":"2026-09-03","cited_by_count":0,"area":null}],"next_cursor":null}