{"total":29,"rows":[{"id":"2408.08632","title":"A Survey on Benchmarks of Multimodal Large Language Models","created":"2024-08-16","cited_by_count":82,"area":"mllm"},{"id":"2502.14881","title":"A Survey of Safety on Large Vision-Language Models: Attacks, Defenses and Evaluations","created":"2025-02-14","cited_by_count":67,"area":"mllm"},{"id":"2409.18142","title":"A Survey on Multimodal Benchmarks: In the Era of Large AI Models","created":"2024-09-21","cited_by_count":27,"area":"mllm"},{"id":"2503.14530","title":"SAUCE: Selective Concept Unlearning in Vision-Language Models with Sparse Autoencoders","created":"2025-03-16","cited_by_count":13,"area":"mllm"},{"id":"2505.01456","title":"Unlearning Sensitive Information in Multimodal LLMs: Benchmark and Attack-Defense Evaluation","created":"2025-05-01","cited_by_count":11,"area":"mllm"},{"id":"2510.04217","title":"MLLMEraser: Achieving Test-Time Unlearning in Multimodal Large Language Models through Activation Steering","created":"2025-10-05","cited_by_count":10,"area":"mllm"},{"id":"2503.01887","title":"When Continue Learning Meets Multimodal Large Language Model: A Survey","created":"2025-02-27","cited_by_count":9,"area":"mllm"},{"id":"2510.22535","title":"OFFSIDE: Benchmarking Unlearning Misinformation in Multimodal Large Language Models","created":"2025-10-26","cited_by_count":8,"area":"mllm"},{"id":"2503.12545","title":"PEBench: A Fictitious Dataset to Benchmark Machine Unlearning for Multimodal Large Language Models","created":"2025-03-16","cited_by_count":6,"area":"mllm"},{"id":"2507.01271","title":"PULSE: Practical Evaluation Scenarios for Large Multimodal Model Unlearning","created":"2025-07-02","cited_by_count":6,"area":"mllm"},{"id":"2511.20196","title":"Towards Benign Memory Forgetting for Selective Multimodal Large Language Model Unlearning","created":"2025-11-25","cited_by_count":6,"area":"mllm"},{"id":"2511.18444","title":"SineProject: Machine Unlearning for Stable Vision Language Alignment","created":"2025-11-23","cited_by_count":3,"area":"mllm"},{"id":"2601.22020","title":"Visual-Guided Key-Token Regularization for Multimodal Large Language Model Unlearning","created":"2026-01-29","cited_by_count":3,"area":"mllm"},{"id":"2605.08031","title":"Object Hallucination-Free Reinforcement Unlearning for Vision-Language Models","created":"2026-05-08","cited_by_count":3,"area":"mllm"},{"id":"2606.00105","title":"Visual-Noise Guided In-Context Distillation for Multimodal Large Language Model Unlearning","created":"2026-05-26","cited_by_count":3,"area":"mllm"},{"id":"2505.23065","title":"SNS-Bench-VL: Benchmarking Multimodal Large Language Models in Social Networking Services","created":"2025-05-29","cited_by_count":2,"area":"mllm"},{"id":"2605.18610","title":"CATA: Continual Machine Unlearning via Conflict-Averse Task Arithmetic","created":"2026-05-18","cited_by_count":2,"area":"mllm"},{"id":"2510.20223","title":"Beyond Text: Multimodal Jailbreaking of Vision-Language and Audio Models through Perceptually Simple Transformations","created":"2025-10-23","cited_by_count":1,"area":"mllm"},{"id":"2603.21484","title":"Which Concepts to Forget and How to Refuse? Decomposing Concepts for Continual Unlearning in Large Vision-Language Models","created":"2026-03-23","cited_by_count":1,"area":"mllm"},{"id":"2605.02206","title":"Metric Unreliability in Multimodal Machine Unlearning: A Systematic Analysis and Principled Unified Score","created":"2026-05-04","cited_by_count":1,"area":"mllm"},{"id":"2605.05938","title":"ICU-Bench:Benchmarking Continual Unlearning in Multimodal Large Language Models","created":"2026-05-07","cited_by_count":1,"area":"mllm"},{"id":"2605.08800","title":"PPU-Bench:Real World Benchmark for Personalized Partial Unlearning in Vision Language Models","created":"2026-05-09","cited_by_count":1,"area":"mllm"},{"id":"2606.12809","title":"MLUBench: A Benchmark for Lifelong Unlearning Evaluation in MLLMs","created":"2026-06-11","cited_by_count":1,"area":"mllm"},{"id":"2606.09868","title":"SPACE: Source-free Proxy Anchor Concept Erasure for MLLMs","created":"2026-06-01","cited_by_count":0,"area":"mllm"},{"id":"2607.06649","title":"POPS: Recovering Unlearned Multi-Modality Knowledge in MLLMs with Prompt-Optimized Parameter Shaking","created":"2026-07-07","cited_by_count":0,"area":"mllm"},{"id":"2607.18615","title":"Stochastic Meta-Unlearning: Bridging Language Backbone and Multimodal Unlearning","created":"2026-07-21","cited_by_count":0,"area":"mllm"},{"id":"2607.21300","title":"Unlearning Under Imbalance: Benchmarking Fairness in Multimodal LLM Unlearning","created":"2026-07-23","cited_by_count":0,"area":"mllm"},{"id":"2608.29996","title":"Partition-Aware Unlearning for Removing Spurious Correlations in Large Vision-Language Models","created":"2026-08-30","cited_by_count":0,"area":"mllm"},{"id":"2610.14763","title":"CUSE: Fine-Grained Multimodal Unlearning with Counterfactual Guidance and On-Policy Self-Distillation","created":"2026-10-10","cited_by_count":0,"area":"mllm"}],"next_cursor":null}