safety evaluation

Arabic Dataset for LLM Safeguard Evaluation NAACL 2025 Are Bias Evaluation Methods Biased ? ACL 2025 Are Vision-Language Models Safe in the Wild? A Meme-Based Benchmark Study EMNLP 2025 AutoBencher: Towards Declarative Benchmark Construction ICLR 2025 Better Red Teaming via Searching with Large Language Model ACL 2025 Breach By A Thousand Leaks: Unsafe Information Leakage in 'Safe' AI Responses ICLR 2025 Chain-of-Jailbreak Attack for Image Generation Models via Step by Step Editing ACL 2025 CoBia: Constructed Conversations Can Trigger Otherwise Concealed Societal Biases in LLMs EMNLP 2025 Code-Switching Red-Teaming: LLM Evaluation for Safety and Multilingual Understanding ACL 2025 DiveR-CT: Diversity-enhanced Red Teaming Large Language Model Assistants with Relaxing Constraints AAAI 2025 Dynamic Evaluation with Cognitive Reasoning for Multi-turn Safety of Large Language Models ACL 2025 ELAB: Extensive LLM Alignment Benchmark in Persian Language ACL 2025 Exploring Safety-Utility Trade-Offs in Personalized Language Models NAACL 2025 Fine-Tuning Lowers Safety and Disrupts Evaluation Consistency ACL 2025 Forewarned is Forearmed: Harnessing LLMs for Data Synthesis via Failure-induced Exploration ICLR 2025 GeoSAFE - A Novel Geospatial Artificial Intelligence Safety Assurance Framework and Evaluation for LLM Moderation IJCNLP 2025 IHEval: Evaluating Language Models on Following the Instruction Hierarchy NAACL 2025 IndoSafety: Culturally Grounded Safety for LLMs in Indonesian Languages EMNLP 2025 JailbreakDiffBench: A Comprehensive Benchmark for Jailbreaking Diffusion Models ICCV 2025 JailbreakRadar: Comprehensive Assessment of Jailbreak Attacks Against LLMs ACL 2025 LLM Safety for Children NAACL 2025 LLMs as Medical Safety Judges: Evaluating Alignment with Human Annotation in Patient-Facing QA ACL 2025 LongSafety: Evaluating Long-Context Safety of Large Language Models ACL 2025 MMDT: Decoding the Trustworthiness and Safety of Multimodal Foundation Models ICLR 2025 MOCHA: Are Code Language Models Robust Against Multi-Turn Malicious Coding Prompts? EMNLP 2025