Data as of Jul 25, 2026 · Based on 2,718,867 AI responses across 9,511 prompts · See how Parse measures this
IntelliExplainhyan5.github.io · Low evidenceHyan5 is a Ph.D. student at George Mason University researching human-AI interaction through natural language, focusing on interactive conversational code generation and LLM safety. Their work aims to develop methods for humans to communicate coding intentions to large language models, ensuring accurate, efficient, and secure code generation.
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