Automatic medical text simplification can assist providers with patient-friendly communication
and make medical texts more accessible, thereby improving health literacy. But curating a …

Data poisoning is a type of adversarial attack on training data where an attacker manipulates
a fraction of data to degrade the performance of machine learning model. There are …

The automated field of research classification for scientific papers is still challenging, even
with modern tools such as large language models. As part of a shared task tackling this …

Scientific discovery entails a detailed understanding and structuring of existing hypotheses—a
challenging task due to the variety and complexity of the scientific texts. Despite efforts in …

This paper presents a multi-modal approach to the single-label field of research classification
shared task. Our method, SLAMFORC, incorporates metadata, full text, and image data …

Conversational artificially intelligent agents have received increasing attention in recent years.
For many use cases, evaluating such agents requires a human-in-the-loop approach. In …

Machine learning based data-driven technologies have shown impressive performances in
a variety of application domains. Most enterprises use data from multiple sources to provide …

Traditionally, latent factor models have been the most successful techniques to build
recommendation systems. While the key is to capture the user interests effectively, most research is …

Health Literacy is the degree to which individuals can comprehend basic health information
needed to make appropriate health decisions. The topmost reason for low health literacy is …

Health Literacy is the degree to which individuals can com-prehend basic health information
needed to make appropri-ate health decisions. The topmost reason for low health lit-eracy …