7 citations · 7 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…
Disrupting Bipartite Trading Networks: Matching for Revenue Maximization
Luca D'Amico-Wong, Yannai A. Gonczarowski, Gary Qiurui Ma +1
We model the role of an online platform disrupting a market with unit-demand buyers and unit-supply sellers. Each seller can transact with a subset of the buyers whom she already k…
Easy as ABCs: Unifying Boltzmann Q-Learning and Counterfactual Regret Minimization
Luca D'Amico-Wong, Hugh Zhang, Marc Lanctot +1
We propose ABCs (Adaptive Branching through Child stationarity), a best-of-both-worlds algorithm combining Boltzmann Q-learning (BQL), a classic reinforcement learning algorithm fo…
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…