activity
20152022
most citedGPT-3-driven pedagogical agents for training children's curious question-asking skills

122 citations · 553 across the 26 of their papers we have counts for

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Showing 2018Show all

5 papers · 1 filter

stat.AP2018★ 1 cited

Next Hit Predictor - Self-exciting Risk Modeling for Predicting Next Locations of Serial Crimes

Yunyi Li, Tong Wang

Our goal is to predict the location of the next crime in a crime series, based on the identified previous offenses in the series. We build a predictive model called Next Hit Predic…

cs.LG2018★ 66 cited

An Interpretable Model with Globally Consistent Explanations for Credit Risk

Chaofan Chen, Kangcheng Lin, Cynthia Rudin +3

We propose a possible solution to a public challenge posed by the Fair Isaac Corporation (FICO), which is to provide an explainable model for credit risk assessment. Rather than pr…

cs.CL2018★ 10 cited

One Size Does Not Fit All: Generating and Evaluating Variable Number of Keyphrases

Xingdi Yuan, Tong Wang, Rui Meng +4

Different texts shall by nature correspond to different number of keyphrases. This desideratum is largely missing from existing neural keyphrase generation models. In this study, w…

cs.AI2018★ 1 cited

Interpretable Patient Mortality Prediction with Multi-value Rule Sets

Tong Wang, Veerajalandhar Allareddy, Sankeerth Rampa +1

We propose a Multi-vAlue Rule Set (MRS) model for in-hospital predicting patient mortality. Compared to rule sets built from single-valued rules, MRS adopts a more generalized form…

cs.LG2018★ 5 cited

Gaining Free or Low-Cost Transparency with Interpretable Partial Substitute

Tong Wang

This work addresses the situation where a black-box model with good predictive performance is chosen over its interpretable competitors, and we show interpretability is still achie…