no code implementations • 6 Jun 2023 • Deuksin Kwon, Sunwoo Lee, Ki Hyun Kim, Seojin Lee, Taeyoon Kim, Eric Davis
This paper presents a method for building a personalized open-domain dialogue system to address the WWH (WHAT, WHEN, and HOW) problem for natural response generation in a commercial setting, where personalized dialogue responses are heavily interleaved with casual response turns.
1 code implementation • 15 Nov 2022 • Sourya Dey, Eric Davis
We present DLKoopman -- a software package for Koopman theory that uses deep learning to learn an encoding of a nonlinear dynamical system into a linear space, while simultaneously learning the linear dynamics.
no code implementations • COLING 2022 • Dohyeong Kim, Myeongjun Jang, Deuk Sin Kwon, Eric Davis
To this end, we propose a new benchmark named Korean balanced evaluation of significant tasks (KoBEST), which consists of five Korean-language downstream tasks.
no code implementations • 17 Mar 2021 • Matthew Inkawhich, Nathan Inkawhich, Eric Davis, Hai Li, Yiran Chen
Over recent years, a myriad of novel convolutional network architectures have been developed to advance state-of-the-art performance on challenging recognition tasks.