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Safety Alignment

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Showing 151–175 of 288 papers

TitleStatusHype
X-Teaming: Multi-Turn Jailbreaks and Defenses with Adaptive Multi-Agents—0
LLM Can be a Dangerous Persuader: Empirical Study of Persuasion Safety in Large Language Models—0
RealSafe-R1: Safety-Aligned DeepSeek-R1 without Compromising Reasoning Capability—0
Do We Really Need Curated Malicious Data for Safety Alignment in Multi-modal Large Language Models?—0
SafeMLRM: Demystifying Safety in Multi-modal Large Reasoning Models—0
ERPO: Advancing Safety Alignment via Ex-Ante Reasoning Preference Optimization—0
More is Less: The Pitfalls of Multi-Model Synthetic Preference Data in DPO Safety Alignment—0
STAR-1: Safer Alignment of Reasoning LLMs with 1K Data—0
Effectively Controlling Reasoning Models through Thinking Intervention—0
Safe RLHF-V: Safe Reinforcement Learning from Human Feedback in Multimodal Large Language Models—0
Align in Depth: Defending Jailbreak Attacks via Progressive Answer Detoxification—0
Representation-based Reward Modeling for Efficient Safety Alignment of Large Language Model—0
JBFuzz: Jailbreaking LLMs Efficiently and Effectively Using Fuzzing—0
Backtracking for Safety—0
Utilizing Jailbreak Probability to Attack and Safeguard Multimodal LLMs—0
SafeArena: Evaluating the Safety of Autonomous Web Agents—0
Safety is Not Only About Refusal: Reasoning-Enhanced Fine-tuning for Interpretable LLM Safety—0
SafeVLA: Towards Safety Alignment of Vision-Language-Action Model via Constrained Learning—0
LLM-Safety Evaluations Lack Robustness—0
Llama-3.1-Sherkala-8B-Chat: An Open Large Language Model for Kazakh—0
FC-Attack: Jailbreaking Multimodal Large Language Models via Auto-Generated Flowcharts—0
The Geometry of Refusal in Large Language Models: Concept Cones and Representational Independence—0
Attention Eclipse: Manipulating Attention to Bypass LLM Safety-Alignment—0
C3AI: Crafting and Evaluating Constitutions for Constitutional AI—0
Exploiting Prefix-Tree in Structured Output Interfaces for Enhancing Jailbreak AttackingCode0
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