{"total":25,"rows":[{"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":"2406.07057","title":"MultiTrust: A Comprehensive Benchmark Towards Trustworthy Multimodal Large Language Models","created":"2024-06-11","cited_by_count":53,"area":"mllm"},{"id":"2402.13220","title":"How Easy is It to Fool Your Multimodal LLMs? An Empirical Analysis on Deceptive Prompts","created":"2024-02-20","cited_by_count":47,"area":"mllm"},{"id":"2401.07764","title":"When Large Language Model Agents Meet 6G Networks: Perception, Grounding, and Alignment","created":"2024-01-15","cited_by_count":43,"area":"mllm"},{"id":"2403.17830","title":"Assessment of Multimodal Large Language Models in Alignment with Human Values","created":"2024-03-26","cited_by_count":36,"area":"mllm"},{"id":"2505.20862","title":"AVCD: Mitigating Hallucinations in Audio-Visual Large Language Models through Contrastive Decoding","created":"2025-05-27","cited_by_count":30,"area":"mllm"},{"id":"2502.18411","title":"OmniAlign-V: Towards Enhanced Alignment of MLLMs with Human Preference","created":"2025-02-25","cited_by_count":28,"area":"mllm"},{"id":"2410.15334","title":"Modality-Fair Preference Optimization for Trustworthy MLLM Alignment","created":"2024-10-20","cited_by_count":26,"area":"mllm"},{"id":"2310.01651","title":"Fool Your (Vision and) Language Model With Embarrassingly Simple Permutations","created":"2023-10-02","cited_by_count":25,"area":"mllm"},{"id":"2406.14859","title":"From LLMs to MLLMs: Exploring the Landscape of Multimodal Jailbreaking","created":"2024-06-21","cited_by_count":24,"area":"mllm"},{"id":"2406.19097","title":"Fairness and Bias in Multimodal AI: A Survey","created":"2024-06-27","cited_by_count":20,"area":"mllm"},{"id":"2409.18991","title":"Surveying the MLLM Landscape: A Meta-Review of Current Surveys","created":"2024-09-17","cited_by_count":20,"area":"mllm"},{"id":"2503.16632","title":"Benchmarking Visual Language Models on Standardized Visualization Literacy Tests","created":"2025-03-20","cited_by_count":20,"area":"mllm"},{"id":"2404.11207","title":"Exploring the Transferability of Visual Prompting for Multimodal Large Language Models","created":"2024-04-17","cited_by_count":15,"area":"mllm"},{"id":"2407.03000","title":"VIVA: A Benchmark for Vision-Grounded Decision-Making with Human Values","created":"2024-07-03","cited_by_count":12,"area":"mllm"},{"id":"2505.11926","title":"SafeVid: Toward Safety Aligned Video Large Multimodal Models","created":"2025-05-17","cited_by_count":9,"area":"mllm"},{"id":"2508.15370","title":"Unveiling Trust in Multimodal Large Language Models: Evaluation, Analysis, and Mitigation","created":"2025-08-21","cited_by_count":4,"area":"mllm"},{"id":"2606.19950","title":"Confidence Calibration for Multimodal LLMs: An Empirical Study through Medical VQA","created":"2026-06-18","cited_by_count":4,"area":"mllm"},{"id":"2501.19017","title":"Benchmarking Gaslighting Negation Attacks Against Multimodal Large Language Models","created":"2025-01-31","cited_by_count":3,"area":"mllm"},{"id":"2506.12958","title":"Domain Specific Benchmarks for Evaluating Multimodal Large Language Models","created":"2025-06-15","cited_by_count":3,"area":"mllm"},{"id":"2511.10287","title":"OutSafe-Bench: A Benchmark for Multimodal Offensive Content Detection in Large Language Models","created":"2025-11-13","cited_by_count":3,"area":"mllm"},{"id":"2511.21717","title":"CrossCheck-Bench: Diagnosing Compositional Failures in Multimodal Conflict Resolution","created":"2025-11-19","cited_by_count":3,"area":"mllm"},{"id":"2602.07013","title":"Steering to Say No: Configurable Refusal via Activation Steering in Vision Language Models","created":"2026-01-31","cited_by_count":3,"area":"mllm"},{"id":"2603.12149","title":"Linking Perception, Confidence and Accuracy in MLLMs","created":"2026-03-12","cited_by_count":2,"area":"mllm"},{"id":"2603.14219","title":"Safety-Potential Pruning for Enhancing Safety Prompts Against VLM Jailbreaking Without Retraining","created":"2026-03-15","cited_by_count":0,"area":"mllm"}],"next_cursor":null}