1 citations · 2 across the 9 of their papers we have counts for
9 papers
Telling Speculative Stories to Help Humans Imagine the Harms of Healthcare AI
Xingmeng Zhao, Tongnian Wang, Dan Schumacher +2
Artificial intelligence (AI) is rapidly transforming healthcare, enabling fast development of tools like stress monitors, wellness trackers, and mental health chatbots. However, ra…
Charting the Future: Using Chart Question-Answering for Scalable Evaluation of LLM-Driven Data Visualizations
James Ford, Xingmeng Zhao, Dan Schumacher +1
We propose a novel framework that leverages Visual Question Answering (VQA) models to automate the evaluation of LLM-generated data visualizations. Traditional evaluation methods o…
Improving Expert Radiology Report Summarization by Prompting Large Language Models with a Layperson Summary
Xingmeng Zhao, Tongnian Wang, Anthony Rios
Radiology report summarization (RRS) is crucial for patient care, requiring concise "Impressions" from detailed "Findings." This paper introduces a novel prompting strategy to enha…
BabyStories: Can Reinforcement Learning Teach Baby Language Models to Write Better Stories?
Xingmeng Zhao, Tongnian Wang, Sheri Osborn +1
Language models have seen significant growth in the size of their corpus, leading to notable performance improvements. Yet, there has been limited progress in developing models tha…
Bike Frames: Understanding the Implicit Portrayal of Cyclists in the News
Xingmeng Zhao, Dan Schumacher, Sashank Nalluri +3
Increasing cycling for transportation or recreation can boost health and reduce the environmental impacts of vehicles. However, news agencies' ideologies and reporting styles often…
A Marker-based Neural Network System for Extracting Social Determinants of Health
Xingmeng Zhao, Anthony Rios
Objective. The impact of social determinants of health (SDoH) on patients' healthcare quality and the disparity is well-known. Many SDoH items are not coded in structured forms in…
A Comprehensive Study of Gender Bias in Chemical Named Entity Recognition Models
Xingmeng Zhao, Ali Niazi, Anthony Rios
Chemical named entity recognition (NER) models are used in many downstream tasks, from adverse drug reaction identification to pharmacoepidemiology. However, it is unknown whether…
UTSA NLP at SemEval-2022 Task 4: An Exploration of Simple Ensembles of Transformers, Convolutional, and Recurrent Neural Networks
Xingmeng Zhao, Anthony Rios
The act of appearing kind or helpful via the use of but having a feeling of superiority condescending and patronizing language can have have serious mental health implications to t…
Turning Stocks into Memes: A Dataset for Understanding How Social Communities Can Drive Wall Street
Richard Alvarez, Paras Bhatt, Xingmeng Zhao +1
Who actually expresses an intent to buy GameStop shares on Reddit? What convinces people to buy stocks? Are people convinced to support a coordinated plan to adversely impact Wall…