activity
20212023
most citedEvaluating the Fairness Impact of Differentially Private Synthetic Data

7 citations · 10 across the 7 of their papers we have counts for

collaborators

7 papers

cs.LG2023

A Graphical Approach to Document Layout Analysis

Jilin Wang, Michael Krumdick, Baojia Tong +5

Document layout analysis (DLA) is the task of detecting the distinct, semantic content within a document and correctly classifying these items into an appropriate category (e.g., t…

cs.CL2023★ 1 cited

What happens before and after: Multi-Event Commonsense in Event Coreference Resolution

Sahithya Ravi, Chris Tanner, Raymond Ng +1

Event coreference models cluster event mentions pertaining to the same real-world event. Recent models rely on contextualized representations to recognize coreference among lexical…

cs.CV2022

LineCap: Line Charts for Data Visualization Captioning Models

Anita Mahinpei, Zona Kostic, Chris Tanner

Data visualization captions help readers understand the purpose of a visualization and are crucial for individuals with visual impairments. The prevalence of poor figure captions a…

cs.LG2022★ 7 cited

Evaluating the Fairness Impact of Differentially Private Synthetic Data

Blake Bullwinkel, Kristen Grabarz, Lily Ke +3

Differentially private (DP) synthetic data is a promising approach to maximizing the utility of data containing sensitive information. Due to the suppression of underrepresented cl…

cs.CL2022

What GPT Knows About Who is Who

Xiaohan Yang, Eduardo Peynetti, Vasco Meerman +1

Coreference resolution -- which is a crucial task for understanding discourse and language at large -- has yet to witness widespread benefits from large language models (LLMs). Mor…

cs.CL2022

Automatic Fake News Detection: Are current models "fact-checking" or "gut-checking"?

Ian Kelk, Benjamin Basseri, Wee Yi Lee +2

Automatic fake news detection models are ostensibly based on logic, where the truth of a claim made in a headline can be determined by supporting or refuting evidence found in a re…

cs.MM2021★ 2 cited

Cross-modal Knowledge Distillation for Vision-to-Sensor Action Recognition

Jianyuan Ni, Raunak Sarbajna, Yang Liu +2

Human activity recognition (HAR) based on multi-modal approach has been recently shown to improve the accuracy performance of HAR. However, restricted computational resources assoc…