13 citations · 33 across the 7 of their papers we have counts for
7 papers
Controversy and Group Certainty Jointly Shape Everyday Moral Judgments
Ziyu Chen, Minjeong Shin, Tuan Dung Nguyen +6
Everyday moral life rarely resembles a trolley problem. It involves disputes about families, relationships, work, money, and care, situations in which people often encounter the ju…
Measuring Moral Dimensions in Social Media with Mformer
Tuan Dung Nguyen, Ziyu Chen, Nicholas George Carroll +3
The ever-growing textual records of contemporary social issues, often discussed online with moral rhetoric, present both an opportunity and a challenge for studying how moral conce…
Mapping Topics in 100,000 Real-life Moral Dilemmas
Tuan Dung Nguyen, Georgiana Lyall, Alasdair Tran +4
Moral dilemmas play an important role in theorizing both about ethical norms and moral psychology. Yet thought experiments borrowed from the philosophical literature often lack the…
Factorized Fourier Neural Operators
Alasdair Tran, Alexander Mathews, Lexing Xie +1
We propose the Factorized Fourier Neural Operator (F-FNO), a learning-based approach for simulating partial differential equations (PDEs). Starting from a recently proposed Fourier…
Radflow: A Recurrent, Aggregated, and Decomposable Model for Networks of Time Series
Alasdair Tran, Alexander Mathews, Cheng Soon Ong +1
We propose a new model for networks of time series that influence each other. Graph structures among time series are found in diverse domains, such as web traffic influenced by hyp…
AttentionFlow: Visualising Influence in Networks of Time Series
Minjeong Shin, Alasdair Tran, Siqi Wu +4
The collective attention on online items such as web pages, search terms, and videos reflects trends that are of social, cultural, and economic interest. Moreover, attention trends…
Transform and Tell: Entity-Aware News Image Captioning
Alasdair Tran, Alexander Mathews, Lexing Xie
We propose an end-to-end model which generates captions for images embedded in news articles. News images present two key challenges: they rely on real-world knowledge, especially…