489 citations · 1.9k across the 37 of their papers we have counts for
9 papers · 1 filter
Fly-Swat or Cannon? Cost-Effective Language Model Choice via Meta-Modeling
Marija Šakota, Maxime Peyrard, Robert West
Generative language models (LMs) have become omnipresent across data science. For a wide variety of tasks, inputs can be phrased as natural language prompts for an LM, from whose o…
Long term variability of Jupiter's northern auroral 8-micron CH4 emissions
James A. Sinclair, Robert West, John M. Barbara +7
We present a study of the long term variability of Jupiter's mid-infrared auroral CH4 emissions. 7.7 - 7.9 micron images of Jupiter recorded by Earth-based telescopes over the last…
Flows: Building Blocks of Reasoning and Collaborating AI
Martin Josifoski, Lars Klein, Maxime Peyrard +8
Recent advances in artificial intelligence (AI) have produced highly capable and controllable systems. This creates unprecedented opportunities for structured reasoning as well as…
Artificial Artificial Artificial Intelligence: Crowd Workers Widely Use Large Language Models for Text Production Tasks
Veniamin Veselovsky, Manoel Horta Ribeiro, Robert West
Large language models (LLMs) are remarkable data annotators. They can be used to generate high-fidelity supervised training data, as well as survey and experimental data. With the…
Generating Faithful Synthetic Data with Large Language Models: A Case Study in Computational Social Science
Veniamin Veselovsky, Manoel Horta Ribeiro, Akhil Arora +3
Large Language Models (LLMs) have democratized synthetic data generation, which in turn has the potential to simplify and broaden a wide gamut of NLP tasks. Here, we tackle a perva…
Simulated recovery of LEO objects using sCMOS blind stacking
Benjamin F. Cooke, Paul Chote, Don Pollacco +5
We present the methodology and results of a simulation to determine the recoverability of LEO objects using a blind stacking technique. The method utilises sCMOS and GPU technology…