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06/09/2023
Trapping LLM Hallucinations Using Tagged Context Prompts
Recent advances in large language models (LLMs), such as ChatGPT, have l...
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01/12/2023
The Keyword Explorer Suite: A Toolkit for Understanding Online Populations
We have developed a set of Python applications that use large language m...
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01/11/2023
The Role of Interactive Visualization in Explaining (Large) NLP Models: from Data to Inference
With a constant increase of learned parameters, modern neural language m...
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09/15/2022
Fair Inference for Discrete Latent Variable Models
It is now well understood that machine learning models, trained on data ...
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05/06/2022
Tell Me Something That Will Help Me Trust You: A Survey of Trust Calibration in Human-Agent Interaction
When a human receives a prediction or recommended course of action from ...
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06/13/2021
User Acceptance of Gender Stereotypes in Automated Career Recommendations
Currently, there is a surge of interest in fair Artificial Intelligence ...
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05/17/2021
Learning User Embeddings from Temporal Social Media Data: A Survey
User-generated data on social media contain rich information about who w...
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04/20/2021
Analyzing COVID-19 Tweets with Transformer-based Language Models
This paper describes a method for using Transformer-based Language Model...
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04/18/2021
Fair Representation Learning for Heterogeneous Information Networks
Recently, much attention has been paid to the societal impact of AI, esp...
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10/14/2020
Equitable Allocation of Healthcare Resources with Fair Cox Models
Healthcare programs such as Medicaid provide crucial services to vulnera...
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10/09/2020
Causal Feature Selection with Dimension Reduction for Interpretable Text Classification
Text features that are correlated with class labels, but do not directly...
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09/02/2020
Neural Fair Collaborative Filtering
A growing proportion of human interactions are digitized on social media...
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11/18/2018
Bayesian Modeling of Intersectional Fairness: The Variance of Bias
Intersectionality is a framework that analyzes how interlocking systems ...
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07/22/2018
An Intersectional Definition of Fairness
We introduce a measure of fairness for algorithms and data with regard t...
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04/11/2018
Automatically Infer Human Traits and Behavior from Social Media Data
Given the complexity of human minds and their behavioral flexibility, it...
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09/21/2017
Learning Domain-Specific Word Embeddings from Sparse Cybersecurity Texts
Word embedding is a Natural Language Processing (NLP) technique that aut...
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05/16/2017
Social Media-based Substance Use Prediction
In this paper, we demonstrate how the state-of-the-art machine learning ...
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07/29/2016
Personalized Emphasis Framing for Persuasive Message Generation
In this paper, we present a study on personalized emphasis framing which...
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12/13/2015