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safety evaluation

103 papers

Papers

Multimodal Pragmatic Jailbreak on Text-to-image Models ACL 2025 “Not Aligned” is Not “Malicious”: Being Careful about Hallucinations of Large Language Models’ Jailbreak COLING 2025 On Evaluating the Durability of Safeguards for Open-Weight LLMs ICLR 2025 PL-Guard: Benchmarking Language Model Safety for Polish ACL 2025 Qorǵau: Evaluating Safety in Kazakh-Russian Bilingual Contexts ACL 2025 RAG LLMs are Not Safer: A Safety Analysis of Retrieval-Augmented Generation for Large Language Models NAACL 2025 Rainbow-Teaming for the Polish Language: A Reproducibility Study NAACL 2025 RealSafe: Quantifying Safety Risks of Language Agents in Real-World COLING 2025 Refusal-Aware Red Teaming: Exposing Inconsistency in Safety Evaluations EMNLP 2025 REVEAL: Multi-turn Evaluation of Image-Input Harms for Vision LLMs IJCAI 2025 SafeChain: Safety of Language Models with Long Chain-of-Thought Reasoning Capabilities ACL 2025 SafeLawBench: Towards Safe Alignment of Large Language Models ACL 2025 Safer or Luckier? LLMs as Safety Evaluators Are Not Robust to Artifacts ACL 2025 SafetyQuizzer: Timely and Dynamic Evaluation on the Safety of LLMs NAACL 2025 SAGE: A Generic Framework for LLM Safety Evaluation EMNLP 2025 Self-adaptive Dataset Construction for Real-World Multimodal Safety Scenarios EMNLP 2025 Six-CD: Benchmarking Concept Removals for Text-to-image Diffusion Models CVPR 2025 SweEval: Do LLMs Really Swear? A Safety Benchmark for Testing Limits for Enterprise Use NAACL 2025 The State of Multilingual LLM Safety Research: From Measuring The Language Gap To Mitigating It EMNLP 2025 Think Like a Person Before Responding: A Multi-Faceted Evaluation of Persona-Guided LLMs for Countering Hate Speech. ACL 2025 Unintended Harms of Value-Aligned LLMs: Psychological and Empirical Insights ACL 2025 X-Guard: Multilingual Guard Agent for Content Moderation ACL 2025 A Chinese Dataset for Evaluating the Safeguards in Large Language Models ACL 2024 ART: Automatic Red-teaming for Text-to-Image Models to Protect Benign Users NeurIPS 2024 Attacks, Defenses and Evaluations for LLM Conversation Safety: A Survey NAACL 2024