{"total":17,"rows":[{"id":"2506.12618","title":"OpenUnlearning: Accelerating LLM Unlearning via Unified Benchmarking of Methods and Metrics","created":"2025-06-14","cited_by_count":83,"area":"safety"},{"id":"2505.16831","title":"Unlearning Isn't Deletion: Investigating Reversibility of Machine Unlearning in LLMs","created":"2025-05-22","cited_by_count":42,"area":"safety"},{"id":"2502.11190","title":"ReLearn: Unlearning via Learning for Large Language Models","created":"2025-02-16","cited_by_count":22,"area":"safety"},{"id":"2508.13650","title":"CRISP: Persistent Concept Unlearning via Sparse Autoencoders","created":"2025-08-19","cited_by_count":11,"area":"safety"},{"id":"2505.04416","title":"OBLIVIATE: Robust and Practical Machine Unlearning for Large Language Models","created":"2025-05-07","cited_by_count":10,"area":"safety"},{"id":"2506.10236","title":"Prompt Attacks Reveal Superficial Knowledge Removal in Unlearning Methods","created":"2025-06-11","cited_by_count":5,"area":"safety"},{"id":"2508.06595","title":"LLM Unlearning Without an Expert Curated Dataset","created":"2025-08-08","cited_by_count":5,"area":"safety"},{"id":"2602.10568","title":"Gauss-Newton Unlearning for the LLM Era","created":"2026-02-11","cited_by_count":4,"area":"safety"},{"id":"2503.21088","title":"ZJUKLAB at SemEval-2025 Task 4: Unlearning via Model Merging","created":"2025-03-27","cited_by_count":2,"area":"safety"},{"id":"2510.07626","title":"LLM Unlearning Under the Microscope: A Full-Stack View on Methods and Metrics","created":"2025-10-08","cited_by_count":2,"area":"safety"},{"id":"2606.07688","title":"TRACER: Token ReAssignment for Concept ERasure in Generative Recommendation","created":"2026-06-05","cited_by_count":2,"area":"safety"},{"id":"2512.04144","title":"RippleBench: Capturing Ripple Effects Using Existing Knowledge Repositories","created":"2025-12-03","cited_by_count":1,"area":"safety"},{"id":"2511.04228","title":"REMIND: Input Loss Landscapes Reveal Residual Memorization in Post-Unlearning LLMs","created":"2025-11-06","cited_by_count":0,"area":"safety"},{"id":"2605.21539","title":"DualOptim+: Bridging Shared and Decoupled Optimizer States for Better Machine Unlearning in Large Language Models","created":"2026-05-20","cited_by_count":0,"area":"safety"},{"id":"2607.03932","title":"MPSelectTune: Prompt-type Selection for Fine-tuning improves Concept Unlearning in LLMs","created":"2026-07-04","cited_by_count":0,"area":"safety"},{"id":"2608.14855","title":"What to Forget in Unlearning? Forget Set Curation for Language Models","created":"2026-08-14","cited_by_count":0,"area":"safety"},{"id":"2608.15548","title":"Spectral Saliency for Machine Unlearning","created":"2026-08-16","cited_by_count":0,"area":"safety"}],"next_cursor":null}