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20132024
most citedFeature Selection: A Data Perspective

2.4k citations · 2.7k across the 42 of their papers we have counts for

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Showing 2023Show all

9 papers · 1 filter

cs.CL2023★ 1 cited

Capturing Perspectives of Crowdsourced Annotators in Subjective Learning Tasks

Negar Mokhberian, Myrl G. Marmarelis, Frederic R. Hopp +3

Supervised classification heavily depends on datasets annotated by humans. However, in subjective tasks such as toxicity classification, these annotations often exhibit low agreeme…

cs.CL2023★ 37 cited

The Unequal Opportunities of Large Language Models: Revealing Demographic Bias through Job Recommendations

Abel Salinas, Parth Vipul Shah, Yuzhong Huang +2

Large Language Models (LLMs) have seen widespread deployment in various real-world applications. Understanding these biases is crucial to comprehend the potential downstream conseq…

cs.CL2023★ 1 cited

Modeling Cross-Cultural Pragmatic Inference with Codenames Duet

Omar Shaikh, Caleb Ziems, William Held +3

Pragmatic reference enables efficient interpersonal communication. Prior work uses simple reference games to test models of pragmatic reasoning, often with unidentified speakers an…

cs.LG2023

Ensembled Prediction Intervals for Causal Outcomes Under Hidden Confounding

Myrl G. Marmarelis, Greg Ver Steeg, Aram Galstyan +1

Causal inference of exact individual treatment outcomes in the presence of hidden confounders is rarely possible. Recent work has extended prediction intervals with finite-sample g…

cs.SI2023★ 2 cited

Pandemic Culture Wars: Partisan Differences in the Moral Language of COVID-19 Discussions

Ashwin Rao, Siyi Guo, Sze-Yuh Nina Wang +2

Effective response to pandemics requires coordinated adoption of mitigation measures, like masking and quarantines, to curb a virus's spread. However, as the COVID-19 pandemic demo…

cs.CL2023

Contextualizing Argument Quality Assessment with Relevant Knowledge

Darshan Deshpande, Zhivar Sourati, Filip Ilievski +1

Automatic assessment of the quality of arguments has been recognized as a challenging task with significant implications for misinformation and targeted speech. While real-world ar…