7 citations · 14 across the 5 of their papers we have counts for
5 papers
Data Contamination Report from the 2024 CONDA Shared Task
Oscar Sainz, Iker García-Ferrero, Alon Jacovi +25
The 1st Workshop on Data Contamination (CONDA 2024) focuses on all relevant aspects of data contamination in natural language processing, where data contamination is understood as…
Newswire: A Large-Scale Structured Database of a Century of Historical News
Emily Silcock, Abhishek Arora, Luca D'Amico-Wong +1
In the U.S. historically, local newspapers drew their content largely from newswires like the Associated Press. Historians argue that newswires played a pivotal role in creating a…
American Stories: A Large-Scale Structured Text Dataset of Historical U.S. Newspapers
Melissa Dell, Jacob Carlson, Tom Bryan +7
Existing full text datasets of U.S. public domain newspapers do not recognize the often complex layouts of newspaper scans, and as a result the digitized content scrambles texts fr…
Understanding and Mitigating Extrapolation Failures in Physics-Informed Neural Networks
Lukas Fesser, Luca D'Amico-Wong, Richard Qiu
Physics-informed Neural Networks (PINNs) have recently gained popularity due to their effective approximation of partial differential equations (PDEs) using deep neural networks (D…
Noise-Robust De-Duplication at Scale
Emily Silcock, Luca D'Amico-Wong, Jinglin Yang +1
Identifying near duplicates within large, noisy text corpora has a myriad of applications that range from de-duplicating training datasets, reducing privacy risk, and evaluating te…