research
∙
05/18/2023
LIMA: Less Is More for Alignment
Large language models are trained in two stages: (1) unsupervised pretra...
share
research
∙
12/03/2022
Towards Robust NLG Bias Evaluation with Syntactically-diverse Prompts
We present a robust methodology for evaluating biases in natural languag...
research
∙
11/25/2022
A Moral- and Event- Centric Inspection of Gender Bias in Fairy Tales at A Large Scale
Fairy tales are a common resource for young children to learn a language...
research
∙
11/02/2022
Dialect-robust Evaluation of Generated Text
Evaluation metrics that are not robust to dialect variation make it impo...
research
∙
05/25/2022
Helpfulness and Fairness of Task-Oriented Dialogue Systems
Task-oriented dialogue systems aim to answer questions from users and pr...
research
∙
02/10/2022
Investigating Explainability of Generative AI for Code through Scenario-based Design
What does it mean for a generative AI model to be explainable? The emerg...
research
∙
12/28/2021
Pretty Princess vs. Successful Leader: Gender Roles in Greeting Card Messages
People write personalized greeting cards on various occasions. While pri...
research
∙
09/27/2021
HAGEN: Homophily-Aware Graph Convolutional Recurrent Network for Crime Forecasting
The crime forecasting is an important problem as it greatly contributes ...
research
∙
08/07/2021
What do Bias Measures Measure?
Natural Language Processing (NLP) models propagate social biases about p...
research
∙
06/03/2021
Men Are Elected, Women Are Married: Events Gender Bias on Wikipedia
Human activities can be seen as sequences of events, which are crucial t...
research
∙
04/16/2021
ESTER: A Machine Reading Comprehension Dataset for Event Semantic Relation Reasoning
Stories and narratives are composed based on a variety of events. Unders...
research
∙
01/13/2021
EventPlus: A Temporal Event Understanding Pipeline
We present EventPlus, a temporal event understanding pipeline that integ...
research
∙
12/15/2020
FAWA: Fast Adversarial Watermark Attack on Optical Character Recognition (OCR) Systems
Deep neural networks (DNNs) significantly improved the accuracy of optic...
research
∙
10/21/2018