Donghyun Kwak

According to our database1, Donghyun Kwak authored at least 14 papers between 2016 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

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Bibliography

2023
Aligning Large Language Models through Synthetic Feedback.
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.
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?
CoRR, 2022

Building a Role Specified Open-Domain Dialogue System Leveraging Large-Scale Language Models.
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.
Proceedings of the IEEE International Conference on Acoustics, 2022

Keep Me Updated! Memory Management in Long-term Conversations.
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.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2020
Speech to Text Adaptation: Towards an Efficient Cross-Modal Distillation.
Proceedings of the Interspeech 2020, 2020

2019
Tripartite Heterogeneous Graph Propagation for Large-scale Social Recommendation.
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.
Neural Networks, 2017

NSML: A Machine Learning Platform That Enables You to Focus on Your Models.
CoRR, 2017

Micro-Objective Learning : Accelerating Deep Reinforcement Learning through the Discovery of Continuous Subgoals.
CoRR, 2017

2016
Multimodal Residual Learning for Visual QA.
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.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016


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