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Safety Alignment

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Showing 101–125 of 288 papers

TitleStatusHype
AI Awareness—0
AI Alignment at Your Discretion—0
Jailbreak Attacks and Defenses Against Large Language Models: A Survey—0
Jailbreak and Guard Aligned Language Models with Only Few In-Context Demonstrations—0
Internal Activation as the Polar Star for Steering Unsafe LLM Behavior—0
Cross-Modal Safety Alignment: Is textual unlearning all you need?—0
Jais and Jais-chat: Arabic-Centric Foundation and Instruction-Tuned Open Generative Large Language Models—0
JBFuzz: Jailbreaking LLMs Efficiently and Effectively Using Fuzzing—0
JULI: Jailbreak Large Language Models by Self-Introspection—0
Just Enough Shifts: Mitigating Over-Refusal in Aligned Language Models with Targeted Representation Fine-Tuning—0
CARES: Comprehensive Evaluation of Safety and Adversarial Robustness in Medical LLMs—0
Controllable Safety Alignment: Inference-Time Adaptation to Diverse Safety Requirements—0
Attention Eclipse: Manipulating Attention to Bypass LLM Safety-Alignment—0
Assessing the Brittleness of Safety Alignment via Pruning and Low-Rank Modifications—0
"Haet Bhasha aur Diskrimineshun": Phonetic Perturbations in Code-Mixed Hinglish to Red-Team LLMs—0
Cognitive Overload: Jailbreaking Large Language Models with Overloaded Logical Thinking—0
From Judgment to Interference: Early Stopping LLM Harmful Outputs via Streaming Content Monitoring—0
Llama-3.1-Sherkala-8B-Chat: An Open Large Language Model for Kazakh—0
Code-Switching Curriculum Learning for Multilingual Transfer in LLMs—0
Multilingual Blending: LLM Safety Alignment Evaluation with Language Mixture—0
Na'vi or Knave: Jailbreaking Language Models via Metaphorical Avatars—0
LLMs Can Defend Themselves Against Jailbreaking in a Practical Manner: A Vision Paper—0
Off-Policy Risk Assessment in Markov Decision Processes—0
From Evaluation to Defense: Advancing Safety in Video Large Language Models—0
Finding Safety Neurons in Large Language Models—0
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