6 citations · 6 across the 16 of their papers we have counts for
5 papers · 1 filter
Firefly swarms: What models for what physics?
Raphael Sarfati
What constitutes a "physics of firefly swarms"? In response to a Comment in Nature Reviews Physics, I offer a brief scientific perspective.
Tracking and triangulating firefly flashes in field recordings
Raphael Sarfati
Identifying firefly flashes from other bright features in nature images is complicated. I provide a training dataset and trained neural networks for reliable flash classification.…
Density estimation with LLMs: a geometric investigation of in-context learning trajectories
Toni J. B. Liu, Nicolas Boullé, Raphaël Sarfati +1
Large language models (LLMs) demonstrate remarkable emergent abilities to perform in-context learning across various tasks, including time series forecasting. This work investigate…
Lines of Thought in Large Language Models
Raphaël Sarfati, Toni J. B. Liu, Nicolas Boullé +1
Large Language Models achieve next-token prediction by transporting a vectorized piece of text (prompt) across an accompanying embedding space under the action of successive transf…
LLMs learn governing principles of dynamical systems, revealing an in-context neural scaling law
Toni J. B. Liu, Nicolas Boullé, Raphaël Sarfati +1
Pretrained large language models (LLMs) are surprisingly effective at performing zero-shot tasks, including time-series forecasting. However, understanding the mechanisms behind su…