1 code implementation • 10 Feb 2024 • William Gantt, Alexander Martin, Pavlo Kuchmiichuk, Aaron Steven White
We introduce event-keyed summarization (EKS), a novel task that marries traditional summarization and document-level event extraction, with the goal of generating a contextualized summary for a specific event, given a document and an extracted event structure.
2 code implementations • 9 Nov 2023 • Siddharth Vashishtha, Alexander Martin, William Gantt, Benjamin Van Durme, Aaron Steven White
Understanding event descriptions is a central aspect of language processing, but current approaches focus overwhelmingly on single sentences or documents.
1 code implementation • 14 Aug 2023 • Alexander Martin, Haitian Zheng, Jie An, Jiebo Luo
In this work, we use text-guided latent diffusion models for zero-shot image-to-image translation (I2I) across large domain gaps (longI2I), where large amounts of new visual features and new geometry need to be generated to enter the target domain.
no code implementations • 13 Jul 2023 • Samuel Barham, Orion Weller, Michelle Yuan, Kenton Murray, Mahsa Yarmohammadi, Zhengping Jiang, Siddharth Vashishtha, Alexander Martin, Anqi Liu, Aaron Steven White, Jordan Boyd-Graber, Benjamin Van Durme
To foster the development of new models for collaborative AI-assisted report generation, we introduce MegaWika, consisting of 13 million Wikipedia articles in 50 diverse languages, along with their 71 million referenced source materials.
no code implementations • 30 Oct 2018 • Andreas Bärmann, Alexander Martin, Sebastian Pokutta, Oskar Schneider
We also introduce several generalizations, such as the approximate learning of non-linear objective functions, dynamically changing as well as parameterized objectives and the case of suboptimal observed decisions.