Tag: large reasoning models
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Energy-Aware Routing for Efficient Large Reasoning Models
Optimize AI with energy-aware routing to large reasoning models, reducing costs and boosting performance through intelligent energy management.
Mitigating Self-Jailbreak in Large Reasoning Models Safely
Discover how Chain-of-Guardrail (CoG) improves safety in large reasoning models by preventing self-jailbreak without sacrificing reasoning power.
Jailbreak Attacks on Large Reasoning Models Using Semantic Triggers
Explore novel jailbreak attacks on large reasoning models via semantic triggers and psychological framing, revealing key vulnerabilities and defense needs.
Efficient Pruning of Long Chain-of-Thought in LRMs
Optimize Large Reasoning Models by pruning long chain-of-thought outputs to reduce computation without losing reasoning quality.
Quantifying Uncertainty in Large Reasoning Models
Discover robust methods to quantify and understand uncertainty in large reasoning models with theoretical guarantees and improved reliability.