Peter Szolovits

Is BERT Really Robust? A Strong Baseline for Natural Language Attack on Text Classification and Entailment

2019 · arXiv (Cornell University)

Machine learning algorithms are often vulnerable to adversarial examples that have imperceptible alterations from the original counterparts but can fool the state-of-the-art models. It is helpful to evaluate or even improve the robustness of these …

PRAG: Paninian Retrieval-Augmented Generation for Safety-Critical Medical Question Answering

2020 · arXiv (Cornell University)

Open domain question answering (OpenQA) tasks have been recently attracting more and more attention from the natural language processing (NLP) community. In this work, we present the first free-form multiple-choice OpenQA dataset for solving medical …

What Disease does this Patient Have? A Large-scale Open Domain Question Answering Dataset from Medical Exams

2021 · Preprints.org

Open domain question answering (OpenQA) tasks have been recently attracting more and more attention from the natural language processing (NLP) community. In this work, we present the first free-form multiple-choice OpenQA dataset for solving medical …

TransINT: Embedding Implication Rules in Knowledge Graphs with\n Isomorphic Intersections of Linear Subspaces

2020 · arXiv (Cornell University)

Knowledge Graphs (KG), composed of entities and relations, provide a\nstructured representation of knowledge. For easy access to statistical\napproaches on relational data, multiple methods to embed a KG into f(KG) $\\in$\nR^d have been introduced. We propose …