Zero-Shot Dense Retrieval with Embeddings from Relevance Feedback

no code implementations • 28 Oct 2024 • Nour Jedidi, Yung-Sung Chuang, Leslie Shing, James Glass

Inspired by relevance feedback, ReDE-RF proposes to re-frame hypothetical document generation as a relevance estimation task, using an LLM to select which documents should be used for nearest neighbor search.

Language Modelling Large Language Model +1

Antibody Representation Learning for Drug Discovery

no code implementations • 5 Oct 2022 • Lin Li, Esther Gupta, John Spaeth, Leslie Shing, Tristan Bepler, Rajmonda Sulo Caceres

Therapeutic antibody development has become an increasingly popular approach for drug development.

Drug Discovery Language Modelling +1

Developing a Series of AI Challenges for the United States Department of the Air Force

1 code implementation • 14 Jul 2022 • Vijay Gadepally, Gregory Angelides, Andrei Barbu, Andrew Bowne, Laura J. Brattain, Tamara Broderick, Armando Cabrera, Glenn Carl, Ronisha Carter, Miriam Cha, Emilie Cowen, Jesse Cummings, Bill Freeman, James Glass, Sam Goldberg, Mark Hamilton, Thomas Heldt, Kuan Wei Huang, Phillip Isola, Boris Katz, Jamie Koerner, Yen-Chen Lin, David Mayo, Kyle McAlpin, Taylor Perron, Jean Piou, Hrishikesh M. Rao, Hayley Reynolds, Kaira Samuel, Siddharth Samsi, Morgan Schmidt, Leslie Shing, Olga Simek, Brandon Swenson, Vivienne Sze, Jonathan Taylor, Paul Tylkin, Mark Veillette, Matthew L Weiss, Allan Wollaber, Sophia Yuditskaya, Jeremy Kepner

Through a series of federal initiatives and orders, the U. S. Government has been making a concerted effort to ensure American leadership in AI.

A Framework for Unsupervised Classificiation and Data Mining of Tweets about Cyber Vulnerabilities

no code implementations • 23 Apr 2021 • Kenneth Alperin, Emily Joback, Leslie Shing, Gabe Elkin

Many cyber network defense tools rely on the National Vulnerability Database (NVD) to provide timely information on known vulnerabilities that exist within systems on a given network.

Zero-Shot Learning