SafeChain introduces a comprehensive safety framework for large reasoning models (LRMs) that use extended chain-of-thought reasoning processes.

• Identifies safety vulnerabilities in models with advanced reasoning capabilities
• Develops a specialized evaluation benchmark targeting long reasoning chains
• Proposes targeted safety techniques to mitigate harmful outputs
• Achieves better safety-capability balance compared to existing methods

This research addresses critical security concerns as AI systems with complex reasoning become widely deployed, helping prevent harmful outputs like security vulnerabilities or misinformation while preserving reasoning capabilities.

SafeChain: Safety of Language Models with Long Chain-of-Thought Reasoning Capabilities