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Roleplay scenarios can trick language models into complying with harmful requests, revealing a critical vulnerability in their refusal mechanisms.
On-device LLMs can achieve state-of-the-art performance with significantly reduced computational cost by leveraging a carefully designed Mixture-of-Experts architecture, challenging the assumption that dense models are always superior for mobile deployment.
