Donghyun Kwak

According to our database, Donghyun Kwak authored at least 18 papers between 2016 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Online Difficulty Filtering for Reasoning Oriented Reinforcement Learning.

Sanghwan Bae, Jiwoo Hong, Min Young Lee, Hanbyul Kim, Jeongyeon Nam, Donghyun Kwak

Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics, 2026

2025

KoSimpleQA: A Korean Factuality Benchmark with an Analysis of Reasoning LLMs.

Donghyeon Ko, Yeguk Jin, Kyubyung Chae, Byungwook Lee, Chansong Jo, Sookyo In, Jaehong Lee, Taesup Kim, Donghyun Kwak

CoRR, October, 2025

Advancing Event Forecasting through Massive Training of Large Language Models: Challenges, Solutions, and Broader Impacts.

Sang-Woo Lee, Sohee Yang, Donghyun Kwak, Noah Y. Siegel

CoRR, July, 2025

Building Helpful-Only Large Language Models: A Complete Approach from Motivation to Evaluation.

Donghyeon Ko, Sohee Yang, Donghyun Kwak, Sang-Woo Lee

Proceedings of the 14th International Joint Conference on Natural Language Processing and the 4th Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics, 2025

2023

Aligning Large Language Models through Synthetic Feedback.

Sungdong Kim, Sanghwan Bae, Jamin Shin, Soyoung Kang, Donghyun Kwak, Kang Min Yoo, Minjoon Seo

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

The Dialog Must Go On: Improving Visual Dialog via Generative Self-Training.

Gi-Cheon Kang, Sungdong Kim, Jin-Hwa Kim, Donghyun Kwak, Byoung-Tak Zhang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Can Current Task-oriented Dialogue Models Automate Real-world Scenarios in the Wild?

Sang-Woo Lee, Sungdong Kim, Donghyeon Ko, Donghoon Ham, Youngki Hong, Shin Ah Oh, Hyunhoon Jung, Wangkyo Jung, Kyunghyun Cho, Dong-Hyun Kwak, Hyungsuk Noh, Woo-Myoung Park

CoRR, 2022

Building a Role Specified Open-Domain Dialogue System Leveraging Large-Scale Language Models.

Sanghwan Bae, Dong-Hyun Kwak, Sungdong Kim, Donghoon Ham, Soyoung Kang, Sang-Woo Lee, Woo-Myoung Park

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Integration of Pre-Trained Networks with Continuous Token Interface for End-to-End Spoken Language Understanding.

Seunghyun Seo, Donghyun Kwak, Bowon Lee

Proceedings of the IEEE International Conference on Acoustics, 2022

Keep Me Updated! Memory Management in Long-term Conversations.

Sanghwan Bae, Dong-Hyun Kwak, Soyoung Kang, Min Young Lee, Sungdong Kim, Yuin Jeong, Hyeri Kim, Sang-Woo Lee, Woo-Myoung Park, Nako Sung

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

2021

What Changes Can Large-scale Language Models Bring? Intensive Study on HyperCLOVA: Billions-scale Korean Generative Pretrained Transformers.

Boseop Kim, HyoungSeok Kim, Sang-Woo Lee, Gichang Lee, Dong-Hyun Kwak, Dong Hyeon Jeon, Sunghyun Park, Sungju Kim, Seonhoon Kim, Dongpil Seo, Heungsub Lee, Minyoung Jeong, Sungjae Lee, Minsub Kim, SukHyun Ko, Seokhun Kim, Taeyong Park, Jinuk Kim, Soyoung Kang, Na-Hyeon Ryu, Kang Min Yoo, Minsuk Chang, Soobin Suh, Sookyo In, Jinseong Park, Kyungduk Kim, Hiun Kim, Jisu Jeong, Yong Goo Yeo, Donghoon Ham, Dongju Park, Min Young Lee, Jaewook Kang, Inho Kang, Jung-Woo Ha, Woo-Myoung Park, Nako Sung

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2020

Speech to Text Adaptation: Towards an Efficient Cross-Modal Distillation.

Won-Ik Cho, Donghyun Kwak, Ji Won Yoon, Nam Soo Kim

Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020

2019

Tripartite Heterogeneous Graph Propagation for Large-scale Social Recommendation.

Kyung-Min Kim, Dong-Hyun Kwak, Hanock Kwak, Young-Jin Park, Sangkwon Sim, Jae-Han Cho, Minkyu Kim, Jihun Kwon, Nako Sung, Jung-Woo Ha

Proceedings of ACM RecSys 2019 Late-Breaking Results co-located with the 13th ACM Conference on Recommender Systems, 2019

2017

Dual-memory neural networks for modeling cognitive activities of humans via wearable sensors.

Sang-Woo Lee, Chung-yeon Lee, Dong-Hyun Kwak, Jung-Woo Ha, Jeonghee Kim, Byoung-Tak Zhang

Neural Networks, 2017

NSML: A Machine Learning Platform That Enables You to Focus on Your Models.

Nako Sung, Minkyu Kim, Hyunwoo Jo, Youngil Yang, Jingwoong Kim, Leonard Lausen, Youngkwan Kim, Gayoung Lee, Dong-Hyun Kwak, Jung-Woo Ha, Sunghun Kim

CoRR, 2017

Micro-Objective Learning : Accelerating Deep Reinforcement Learning through the Discovery of Continuous Subgoals.

Sungtae Lee, Sang-Woo Lee, Jinyoung Choi, Dong-Hyun Kwak, Byoung-Tak Zhang

CoRR, 2017

2016

Multimodal Residual Learning for Visual QA.

Jin-Hwa Kim, Sang-Woo Lee, Dong-Hyun Kwak, Min-Oh Heo, Jeonghee Kim, JungWoo Ha, Byoung-Tak Zhang

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Dual-Memory Deep Learning Architectures for Lifelong Learning of Everyday Human Behaviors.

Sang-Woo Lee, Chung-yeon Lee, Dong-Hyun Kwak, Jiwon Kim, Jeonghee Kim, Byoung-Tak Zhang

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016