Hwang, Sung Ju

Learning to Quantize Deep Networks by Optimizing Quantization Intervals With Task Loss

Jung, S., Son, C., Lee, S., Son, J., Han, J.-J., Kwak, Y., Hwang, S. J., & Choi, C. (2019) · 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 385

ResearchAgent: Iterative Research Idea Generation over Scientific Literature with Large Language Models

Baek, J., Jauhar, S. K., Cucerzan, S., & Hwang, S. J. (2025) · Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)

Topic ModelingInformation Retrieval and Search Behavior

Cited by 46

Knowledge Graph-Augmented Language Models for Knowledge-Grounded Dialogue Generation

Kang, M., Kwak, J. M., Baek, J., & Hwang, S. J. (2023) · arXiv

Speech and dialogue systemsTopic Modeling

Cited by 13

ResearchAgent: Iterative Research Idea Generation over Scientific Literature with Large Language Models

Baek, J., Jauhar, S. K., Cucerzan, S., & Hwang, S. J. (2024) · arXiv

Topic ModelingArtificial Intelligence Applications

Cited by 13

Adaptive-RAG: Learning to Adapt Retrieval-Augmented Large Language Models through Question Complexity

Jeong, S., Baek, J., Cho, S., Hwang, S. J., & Park, J. C. (2024) · arXiv

Topic ModelingInformation Retrieval and Search Behavior

Cited by 11

Carpe diem: On the Evaluation of World Knowledge in Lifelong Language Models

Kim, Y., Yoon, J., Ye, S., Bae, S., Ho, N., Hwang, S. J., & Yun, S.-Y. (2024) · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)

Topic ModelingNatural Language Processing Techniques

Cited by 2

Multi-View Encoders for Performance Prediction in LLM-Based Agentic Workflows

Trirat, P., Jeong, W., & Hwang, S. J. (2025) · arXiv

Scientific Computing and Data ManagementAI-based Problem Solving and Planning

Cited by 0

Paper2Code: Automating Code Generation from Scientific Papers in Machine Learning

Seo, M., Baek, J., Lee, S., & Hwang, S. J. (2025) · arXiv

Software Engineering ResearchTopic Modeling

Cited by 0