{"total":22,"rows":[{"id":"2403.09572","title":"Eyes Closed, Safety On: Protecting Multimodal LLMs via Image-to-Text Transformation","created":"2024-03-14","cited_by_count":124,"area":"lr"},{"id":"2411.18688","title":"Immune: Improving Safety Against Jailbreaks in Multi-modal LLMs via Inference-Time Alignment","created":"2024-11-27","cited_by_count":44,"area":"lr"},{"id":"2505.11049","title":"GuardReasoner-VL: Safeguarding VLMs via Reinforced Reasoning","created":"2025-05-16","cited_by_count":42,"area":"lr"},{"id":"2412.15206","title":"AutoTrust: Benchmarking Trustworthiness in Large Vision Language Models for Autonomous Driving","created":"2024-12-19","cited_by_count":35,"area":"lr"},{"id":"2501.18533","title":"Rethinking Bottlenecks in Safety Fine-Tuning of Vision Language Models","created":"2025-01-30","cited_by_count":21,"area":"lr"},{"id":"2410.11459","title":"Jigsaw Puzzles: Splitting Harmful Questions to Jailbreak Large Language Models","created":"2024-10-15","cited_by_count":19,"area":"lr"},{"id":"2505.06538","title":"Think in Safety: Unveiling and Mitigating Safety Alignment Collapse in Multimodal Large Reasoning Model","created":"2025-05-10","cited_by_count":19,"area":"lr"},{"id":"2511.12982","title":"SafeGRPO: Self-Rewarded Multimodal Safety Alignment via Rule-Governed Policy Optimization","created":"2025-11-17","cited_by_count":12,"area":"lr"},{"id":"2504.12661","title":"VLMGuard-R1: Proactive Safety Alignment for VLMs via Reasoning-Driven Prompt Optimization","created":"2025-04-17","cited_by_count":10,"area":"lr"},{"id":"2510.06871","title":"SaFeR-VLM: Toward Safety-aware Fine-grained Reasoning in Multimodal Models","created":"2025-10-08","cited_by_count":10,"area":"lr"},{"id":"2603.03975","title":"Phi-4-reasoning-vision-15B Technical Report","created":"2026-03-04","cited_by_count":10,"area":"lr"},{"id":"2606.22873","title":"SingGuard: A Policy-Adaptive Multimodal LLM Guardrail with Dynamic Reasoning","created":"2026-06-22","cited_by_count":6,"area":"lr"},{"id":"2511.11301","title":"EcoAlign: An Economically Rational Framework for Efficient LVLM Alignment","created":"2025-11-14","cited_by_count":5,"area":"lr"},{"id":"2603.15800","title":"Evolving Contextual Safety in Multi-Modal Large Language Models via Inference-Time Self-Reflective Memory","created":"2026-03-16","cited_by_count":5,"area":"lr"},{"id":"2508.18649","title":"PRISM: Robust VLM Alignment with Principled Reasoning for Integrated Safety in Multimodality","created":"2025-08-26","cited_by_count":2,"area":"lr"},{"id":"2601.22398","title":"Jailbreaks on Vision Language Model via Multimodal Reasoning","created":"2026-01-29","cited_by_count":2,"area":"lr"},{"id":"2602.03402","title":"Risk Awareness Injection: Calibrating Vision-Language Models for Safety without Compromising Utility","created":"2026-02-03","cited_by_count":2,"area":"lr"},{"id":"2512.07141","title":"Think-Reflect-Revise: A Policy-Guided Reflective Framework for Safety Alignment in Large Vision Language Models","created":"2025-12-08","cited_by_count":1,"area":"lr"},{"id":"2602.03665","title":"MM-SCALE: Grounded Multimodal Moral Reasoning via Scalar Judgment and Listwise Alignment","created":"2026-02-03","cited_by_count":0,"area":"lr"},{"id":"2603.02635","title":"SaFeR-ToolKit: Structured Reasoning via Virtual Tool Calling for Multimodal Safety","created":"2026-03-03","cited_by_count":0,"area":"lr"},{"id":"2609.36562","title":"ThinkingGuard: Decoding Implicit Hazards via Step-by-Step Risk Attribution in Multimodal Large Language Models","created":"2026-09-29","cited_by_count":0,"area":"lr"},{"id":"2610.03938","title":"MLLMs Fail to Refuse when Using Tools Agentically","created":"2026-10-02","cited_by_count":0,"area":"lr"}],"next_cursor":null}