Post by NYU Courant Institute School of Mathematics, Computing, and Data Science

Anasse Bari, Clinical Professor of Computer Science, and Binxu 'Steve' Huang, an undergraduate computer science researcher, have created an algorithmic framework to assist large language models in producing more reliable summaries of large documents. The new framework was inspired by the natural phenomenon of bird flocking, mimicking the way in which birds efficiently self-organize. “The intention was to ground AI models more closely to the source material while reducing repetition and noise before generating a final summary,” says Professor Bari. Binxu and Professor Bari’s article was recently published in the journal Frontiers in Artificial Intelligence—with their breakthrough covered in a number of publications below. NYU News: https://lnkd.in/emq9M7wN Futurity: https://lnkd.in/e-89MESd El Espanol: https://lnkd.in/enecZEpJ