15 citations · 29 across the 10 of their papers we have counts for
13 papers
RAMQA: A Unified Framework for Retrieval-Augmented Multi-Modal Question Answering
Yang Bai, Christan Earl Grant, Daisy Zhe Wang
Multi-modal retrieval-augmented Question Answering (MRAQA), integrating text and images, has gained significant attention in information retrieval (IR) and natural language process…
M3: A Multi-Task Mixed-Objective Learning Framework for Open-Domain Multi-Hop Dense Sentence Retrieval
Yang Bai, Anthony Colas, Christan Grant +1
In recent research, contrastive learning has proven to be a highly effective method for representation learning and is widely used for dense retrieval. However, we identify that re…
Towards Fair Disentangled Online Learning for Changing Environments
Chen Zhao, Feng Mi, Xintao Wu +4
In the problem of online learning for changing environments, data are sequentially received one after another over time, and their distribution assumptions may vary frequently. Alt…
Proposing an Interactive Audit Pipeline for Visual Privacy Research
Jasmine DeHart, Chenguang Xu, Lisa Egede +1
In an ideal world, deployed machine learning models will enhance our society. We hope that those models will provide unbiased and ethical decisions that will benefit everyone. Howe…
AdaTag: Multi-Attribute Value Extraction from Product Profiles with Adaptive Decoding
Jun Yan, Nasser Zalmout, Yan Liang +3
Automatic extraction of product attribute values is an important enabling technology in e-Commerce platforms. This task is usually modeled using sequence labeling architectures, wi…
DataPop: Knowledge Base Population using Distributed Voice Enabled Devices
Elena Montes, Monique Shotande, Daniel Helm +1
Data scientists are constantly creating methods to efficiently and accurately populate big data sets for use in large-scale applications. Many recent efforts utilize crowd-sourcing…
Using Delay Tolerant Networks as a Backbone for Low-cost Smart Cities
Oluwashina Madamori, Esther Max-Onakpoya, Christan Grant +1
Rapid urbanization burdens city infrastructure and creates the need for local governments to maximize the usage of resources to serve its citizens. Smart city projects aim to allev…
Visual Content Privacy Leaks on Social Media Networks
Jasmine DeHart, Christan Grant
With the growth and accessibility of mobile devices and internet, the ease of posting and sharing content on social media networks (SMNs) has increased exponentially. Many users po…
Formalizing Interruptible Algorithms for Human over-the-loop Analytics
Austin Graham, Yan Liang, Le Gruenwald +1
Traditional data mining algorithms are exceptional at seeing patterns in data that humans cannot, but are often confused by details that are obvious to the organic eye. Algorithms…
Demographics in Social Media Data for Public Health Research: Does it matter?
Nina Cesare, Christan Grant, Jared B. Hawkins +2
Social media data provides propitious opportunities for public health research. However, studies suggest that disparities may exist in the representation of certain populations (e.…
Storing complex data sharing policies with the Min Mask Sketch
Stephen Smart, Christan Grant
More data is currently being collected and shared by software applications than ever before. In many cases, the user is asked if either all or none of their data can be shared. We…
How well can machine learning predict demographics of social media users?
Nina Cesare, Christan Grant, Quynh Nguyen +2
The wide use of social media sites and other digital technologies have resulted in an unprecedented availability of digital data that are being used to study human behavior across…
Query-Driven Sampling for Collective Entity Resolution
Christan Grant, Daisy Zhe Wang, Michael L. Wick
Probabilistic databases play a preeminent role in the processing and management of uncertain data. Recently, many database research efforts have integrated probabilistic models int…