no code implementations • 4 Apr 2024 • Jooyoung Lee, Fan Yang, Thanh Tran, Qian Hu, Emre Barut, Kai-Wei Chang, Chengwei Su
The Frozen large LM is then prompted to predict a task output based on the rationale generated by the lightweight LM.
no code implementations • 22 Nov 2021 • Sanchit Agarwal, Jan Jezabek, Arijit Biswas, Emre Barut, Shuyang Gao, Tagyoung Chung
Most popular goal-oriented dialogue agents are capable of understanding the conversational context.
no code implementations • NAACL 2021 • Tzu-Hsiang Lin, Yipeng Shi, Chentao Ye, Yang Fan, Weitong Ruan, Emre Barut, Wael Hamza, Chengwei Su
In commercial dialogue systems, the Spoken Language Understanding (SLU) component tends to have numerous domains thus context is needed to help resolve ambiguities.
no code implementations • ICCV 2021 • Shunyan Luo, Emre Barut, Fang Jin
The growing use of deep learning for a wide range of data problems has highlighted the need to understand and diagnose these models appropriately, making deep learning interpretation techniques an essential tool for data analysts.