papers

Publications (16)

astro-ph.GA2026

I can see your halo: Constraining the Milky Way halo DM with FRB population studies

Jordan Hoffmann, Clancy James, Jason Xavier Prochaska +1

Fast radio bursts (FRBs) probe the electron column density along the line of sight and hence can be used to probe foreground structures. One such structure is the Galactic halo. In…

cs.CL2022

Improving language models by retrieving from trillions of tokens

Sebastian Borgeaud, Arthur Mensch, Jordan Hoffmann +25

We enhance auto-regressive language models by conditioning on document chunks retrieved from a large corpus, based on local similarity with preceding tokens. With a trillion to…

cs.CL2022

Scaling Language Models: Methods, Analysis & Insights from Training Gopher

Jack W. Rae, Sebastian Borgeaud, Trevor Cai +77

Language modelling provides a step towards intelligent communication systems by harnessing large repositories of written human knowledge to better predict and understand the world.…

cs.SI2019

vGraph: A Generative Model for Joint Community Detection and Node Representation Learning

Fan-Yun Sun, Meng Qu, Jordan Hoffmann +2

This paper focuses on two fundamental tasks of graph analysis: community detection and node representation learning, which capture the global and local structures of graphs, respec…

cs.LG2020

Recurrent Independent Mechanisms

Anirudh Goyal, Alex Lamb, Jordan Hoffmann +4

Learning modular structures which reflect the dynamics of the environment can lead to better generalization and robustness to changes which only affect a few of the underlying caus…

astro-ph.HE2025

A fast radio burst from the first 3 billion years of the Universe

Manisha Caleb, Themiya Nanayakkara, Benjamin Stappers +25

Fast radio bursts (FRBs) are enigmatic millisecond-duration signals which encode otherwise unattainable information on the plasma which permeates our Universe, providing insights i…