We study neural network loss landscapes through the lens of mode connectivity, the observation
that minimizers of neural networks retrieved via training on a dataset are connected via …

We examine non-commitment in the imagination. Across 5 studies (N > 1, 800), we find that
most people are non-committal about basic aspects of their mental images, including …

This work identifies 18 foundational challenges in assuring the alignment and safety of large
language models (LLMs). These challenges are organized into three different categories: …

Lifestyles are a valuable model for understanding individuals' physical and mental lives,
comparing social groups, and making recommendations for improving people's lives. In this …

Large language models (LLMs) trained on huge corpora of text datasets demonstrate
complex, emergent capabilities, achieving state-of-the-art performance on tasks they were not …

Use of abdominal computed tomography in blunt trauma: Do we scan too much? - PMC Back to
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There is ample evidence that human understanding of ordinary language relies in part on a
rich capacity for imagistic mental modeling. We argue that genuine language understanding …

With the rise of pretrained models, fine-tuning has become increasingly important. However,
naive fine-tuning often does not eliminate a model's sensitivity to spurious cues. To …

… All carpal tunnel releases were done by Dr Bigelow with the assistance of a surgical
resident or intern. The flexor retinaculum was completely transected longitudinally under direct …

A high vacuum extraction line and a computer-controlled quadrupole mass spectrometer
were used to extract, identify and measure volat i les in volcanic glass. Matrix and inclusion …