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PLOS Global Public Health|May 12, 2023
Using conditional inference to quantify interaction effects of socio-demographic covariates of US COVID-19 vaccine hesitancyKe Shen, Mayank KejriwalPlos One|September 21, 2023
Quantifying COVID-19 policy impacts on subjective well-being during the early phase of the pandemic: A cross-sectional analysis of United States survey data from March to August 2020Ke Shen, Mayank KejriwalPlos One|December 20, 2023
Quantifying confidence shifts in a BERT-based question answering system evaluated on perturbed instancesKe Shen, Mayank KejriwalData in Brief|September 19, 2024
The plausibility machine commonsense (PMC) dataset: A massively crowdsourced human-annotated dataset for studying plausibility in large language modelsNavapat Nananukul, Ke Shen, Mayank KejriwalScience (New York, N.Y.)|February 5, 2026
Turning the web against sex traffickers: Scalable artificial intelligence is harnessed for investigative searchMayank KejriwalGlobal Mental Health (Cambridge, England)|July 8, 2025
Alcohol consumption among university students in ASEAN countries: A systematic review and meta-analysisMayank KejriwalPlos One|March 25, 2021
On using centrality to understand importance of entities in the Panama PapersMayank KejriwalFrontiers in Big Data|December 17, 2021
Link Prediction Between Structured Geopolitical Events: Models and ExperimentsMayank KejriwalScientific Reports|April 13, 2024
A noise audit of human-labeled benchmarks for machine commonsense reasoningMayank Kejriwal, Henrique Santos, Ke Shen, et al.Data in Brief|October 25, 2023
TG-CSR: A human-labeled dataset grounded in nine formal commonsense categoriesHenrique Santos, Alice M Mulvehill, Ke Shen, et al.Pageof 24