Donghyun Kwak

According to our database¹, Donghyun Kwak authored at least 15 papers between 2016 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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On csauthors.net:

Bibliography

2024

HyperCLOVA X Technical Report.

[BibT_eX]

[DOI]

CoRR, 2024

2023

Aligning Large Language Models through Synthetic Feedback.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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?

[BibT_eX]

[DOI]

CoRR, 2022

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Seunghyun Seo

Donghyun Kwak

Bowon Lee

Proceedings of the IEEE International Conference on Acoustics, 2022

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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

2020

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

[BibT_eX]

[DOI]

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

2019

Tripartite Heterogeneous Graph Propagation for Large-scale Social Recommendation.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Neural Networks, 2017

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

[BibT_eX]

[DOI]

CoRR, 2017

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

[BibT_eX]

[DOI]

CoRR, 2017

2016

Multimodal Residual Learning for Visual QA.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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

Donghyun Kwak

Timeline

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