Nenad Tomašev

Large language models encode clinical knowledge

2023 · Nature

Abstract Large language models (LLMs) have demonstrated impressive capabilities, but the bar for clinical applications is high. Attempts to assess the clinical knowledge of models typically rely on automated evaluations based on limited benchmarks. Here, …

Pushing the limits of self-supervised ResNets: Can we outperform supervised learning without labels on ImageNet?

2022 · arXiv (Cornell University)

Despite recent progress made by self-supervised methods in representation learning with residual networks, they still underperform supervised learning on the ImageNet classification benchmark, limiting their applicability in performance-critical settings. Building on prior theoretical insights from …