Allen Institute for AI

Lasting Impact Award

The Lasting Impact Award honors the most impactful paper published by AI2 researchers three years prior to the award date. Papers are nominated by our institute's research leaders, and the final winner is selected by our Scientific Advisory Board using several criteria, including a paper's Highly Influential Citations.


  • Bidirectional Attention Flow for Machine Comprehension

    Minjoon Seo, Aniruddha Kembhavi, Ali Farhadi, and Hannaneh HajishirziICLR2017Machine comprehension (MC), answering a query about a given context paragraph, requires modeling complex interactions between the context and the query. Recently, attention mechanisms have been successfully extended to MC. Typically these methods use attention to focus on a small portion of the… more
  • Lasting Impact Award Winners 2020


  • XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks

    Mohammad Rastegari, Vicente Ordonez, Joseph Redmon, and Ali FarhadiECCV2016We propose two efficient approximations to standard convolutional neural networks: Binary-Weight-Networks and XNOR-Networks. In Binary-Weight-Networks, the filters are approximated with binary values resulting in 32x memory saving. In XNOR-Networks, both the filters and the input to convolutional… more
  • 2019 Lasting Impact Award Winners