Data as of Aug 16, 2026 · Based on 3,131,739 AI responses across 10,525 prompts · See how Parse measures this
XMDinklab.usc.edu · Low evidenceThe Intelligence and Knowledge Discovery (INK) Lab at USC develops next-generation machine intelligence techniques for label-efficient learning, knowledge-guided natural language processing, and knowledge reasoning. The lab focuses on weak supervision methods for modeling natural language text and graph-structured data, led by Professor Xiang Ren.
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