Posters

If you are following the conference remotely, you can find some posters as PDFs below:

• Jared Moore (Washington), Language Models Understand Us, Poorly
• Nedah Nemati (Columbia), Exploiting LLMs to Better Understand Assumptions in Social Science Methodologies
• Emin Orhan (NYU), How Much Human-Like Visual Experience Do Current Self-Supervised Learning Algorithms Need in Order to Achieve Human-Level Object Recognition?
• Justin Tiehen (Puget Sound), Passing Pearl’s Mini-Turing Test