no code implementations • 1 Nov 2024 • Hojung Jung, Youngrok Park, Laura Schmid, Jaehyeong Jo, Dongkyu Lee, Bongsang Kim, Se-Young Yun, Jinwoo Shin
Diffusion models have demonstrated remarkable success in various domains, including molecular generation.
1 code implementation • NLP4ConvAI Association for Computational Linguistics Workshop 2024 • Janghoon Han, Dongkyu Lee, Joongbo Shin, Hyunkyung Bae, Jeesoo Bang, SeongHwan Kim, Stanley Jungkyu Choi, and Honglak Lee.
Recent studies have demonstrated significant improvements in selection tasks, and a considerable portion of this success is attributed to incorporating informative negative samples during training.
Ranked #1 on
Conversational Response Selection
on E-commerce
no code implementations • 7 Jun 2024 • Dongkyu Lee, Chandana Satya Prakash, Jack FitzGerald, Jens Lehmann
Leveraging external knowledge is crucial for achieving high performance in knowledge-intensive tasks, such as question answering.
1 code implementation • 23 Nov 2022 • Yingxiu Zhao, Yinhe Zheng, Bowen Yu, Zhiliang Tian, Dongkyu Lee, Jian Sun, Haiyang Yu, Yongbin Li, Nevin L. Zhang
In this paper, we explore a novel setting, semi-supervised lifelong language learning (SSLL), where a model learns sequentially arriving language tasks with both labeled and unlabeled data.
no code implementations • 22 Oct 2022 • Dongkyu Lee, Ka Chun Cheung, Nevin L. Zhang
Furthermore, inspired by recent work in bridging label smoothing and knowledge distillation, our work utilizes self-knowledge as a prior label distribution in softening target labels, and presents theoretical support for the regularization effect by knowledge distillation and the dynamic smoothing parameter.
no code implementations • 22 Oct 2022 • Dongkyu Lee, Zhiliang Tian, Yingxiu Zhao, Ka Chun Cheung, Nevin L. Zhang
The question is answered in our work with the concept of model calibration; we view a teacher model not only as a source of knowledge but also as a gauge to detect miscalibration of a student.
no code implementations • ACL 2022 • Yingxiu Zhao, Zhiliang Tian, Huaxiu Yao, Yinhe Zheng, Dongkyu Lee, Yiping Song, Jian Sun, Nevin L. Zhang
Building models of natural language processing (NLP) is challenging in low-resource scenarios where only limited data are available.
no code implementations • 29 Sep 2021 • Dongkyu Lee, Ka Chun Cheung, Nevin Zhang
Overconfidence has been shown to impair generalization and calibration of a neural network.
1 code implementation • ACL 2021 • Dongkyu Lee, Zhiliang Tian, Lanqing Xue, Nevin L. Zhang
A common approach is to map a given sentence to content representation that is free of style, and the content representation is fed to a decoder with a target style.
no code implementations • 21 May 2021 • Zhiliang Tian, Wei Bi, Zihan Zhang, Dongkyu Lee, Yiping Song, Nevin L. Zhang
The task requires models to generate personalized responses for a speaker given a few conversations from the speaker and a social network.
no code implementations • ACL 2020 • Zhiliang Tian, Wei Bi, Dongkyu Lee, Lanqing Xue, Yiping Song, Xiaojiang Liu, Nevin L. Zhang
In previous work, the external document is utilized by (1) creating a context-aware document memory that integrates information from the document and the conversational context, and then (2) generating responses referring to the memory.
no code implementations • 9 Mar 2020 • Seunghwan Lee, Dongkyu Lee, Donghyeon Cho, Jiwon Kim, Tae Hyun Kim
However, these methods have limitations in using internal information available in a given test image.
no code implementations • 1 Jan 2020 • Donghoon Chang, Vinjohn Chirakkal, Shubham Goswami, Munawar Hasan, Taekwon Jung, Jinkeon Kang, Seok-Cheol Kee, Dongkyu Lee, Ajit Pratap Singh
Among these solutions, lane detection is one of the vital driver-assist features that play a crucial role in the decision-making process of the autonomous vehicle.