activity
20162024
most citedResolving nearby dust clouds

164 citations · 932 across the 24 of their papers we have counts for

collaborators

24 papers

cs.CL2024★ 164 cited

GPT-4o System Card

OpenAI, :, Aaron Hurst +416

GPT-4o is an autoregressive omni model that accepts as input any combination of text, audio, image, and video, and generates any combination of text, audio, and image outputs. It's…

cs.CR2024★ 8 cited

The Instruction Hierarchy: Training LLMs to Prioritize Privileged Instructions

Eric Wallace, Kai Xiao, Reimar Leike +3

Today's LLMs are susceptible to prompt injections, jailbreaks, and other attacks that allow adversaries to overwrite a model's original instructions with their own malicious prompt…

astro-ph.IM2024★ 26 cited

Re-Envisioning Numerical Information Field Theory (NIFTy.re): A Library for Gaussian Processes and Variational Inference

Gordian Edenhofer, Philipp Frank, Jakob Roth +7

Imaging is the process of transforming noisy, incomplete data into a space that humans can interpret. NIFTy is a Bayesian framework for imaging and has already successfully been ap…

astro-ph.GA2022★ 20 cited

A 3D View of Orion: I. Barnard's Loop

Michael M. Foley, Alyssa Goodman, Catherine Zucker +11

Barnard's Loop is a famous arc of H emission located in the Orion star-forming region. Here, we provide evidence of a possible formation mechanism for Barnard's Loop and compare…

quant-ph2022★ 1 cited

Correlation as a Resource in Unitary Quantum Measurements

Vishal Johnson, Ashmeet Singh, Reimar Leike +2

Quantum measurement is a physical process. What physical resources and constraints does quantum mechanics require for measurement to produce the classical world we observe? Treatin…

cs.LG2022★ 4 cited

Sparse Kernel Gaussian Processes through Iterative Charted Refinement (ICR)

Gordian Edenhofer, Reimar H. Leike, Philipp Frank +1

Gaussian Processes (GPs) are highly expressive, probabilistic models. A major limitation is their computational complexity. Naively, exact GP inference requires …