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0xSnow

0xSnow
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0xSnow is a cybersecurity researcher with a focus on both offensive and defensive security. Working with ethical hacking, threat detection, Linux tools, and adversary simulation, 0xSnow explores vulnerabilities, attack chains, and mitigation strategies. Passionate about OSINT, malware analysis, and red/blue team tactics, 0xSnow shares detailed research, technical walkthroughs, and security tool insights to support the infosec community.

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Arena-Hard-Auto : Advancing LLM Evaluation With Style Control Integration

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Arena-Hard-Auto-v0.1 (See Paper) is an automatic evaluation tool for instruction-tuned LLMs. It contains 500 challenging user queries sourced from Chatbot Arena. We prompt GPT-4-Turbo...