Sanghwan Jang

According to our database, Sanghwan Jang authored at least 13 papers between 2022 and 2026.

Collaborative distances:

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

2026

Filling the Gaps: Selective Knowledge Augmentation for LLM Recommenders.

Jaehyun Lee, Sanghwan Jang, SeongKu Kang, Hwanjo Yu

CoRR, April, 2026

BPL: Bias-Adaptive Preference Distillation Learning For Recommender System.

SeongKu Kang, Jianxun Lian, Dongha Lee, Wonbin Kweon, Sanghwan Jang, Jaehyun Lee, Jindong Wang, Xing Xie, Hwanjo Yu

IEEE Trans. Knowl. Data Eng., January, 2026

Dynamic Multi-period Experts for Online Time Series Forecasting.

Seungha Hong, Sukang Chae, Suyeon Kim, Sanghwan Jang, Hwanjo Yu

Proceedings of the ACM Web Conference 2026, 2026

Harmonic Dataset Distillation for Time Series Forecasting.

Seungha Hong, Sanghwan Jang, Wonbin Kweon, Suyeon Kim, Gyuseok Lee, Hwanjo Yu

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Uncertainty Quantification and Decomposition for LLM-based Recommendation.

Wonbin Kweon, Sanghwan Jang, SeongKu Kang, Hwanjo Yu

Proceedings of the ACM on Web Conference 2025, 2025

StepER: Step-wise Knowledge Distillation for Enhancing Reasoning Ability in Multi-Step Retrieval-Augmented Language Models.

Kyumin Lee, Minjin Jeon, Sanghwan Jang, Hwanjo Yu

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

2024

Top-Personalized-K Recommendation.

Wonbin Kweon, SeongKu Kang, Sanghwan Jang, Hwanjo Yu

Proceedings of the ACM on Web Conference 2024, 2024

Multi-Domain Sequential Recommendation via Domain Space Learning.

Junyoung Hwang, Hyunjun Ju, SeongKu Kang, Sanghwan Jang, Hwanjo Yu

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Exploring Language Model's Code Generation Ability with Auxiliary Functions.

Seonghyeon Lee, Sanghwan Jang, Seongbo Jang, Dongha Lee, Hwanjo Yu

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

Rectifying Demonstration Shortcut in In-Context Learning.

Joonwon Jang, Sanghwan Jang, Wonbin Kweon, Minjin Jeon, Hwanjo Yu

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Learning Discriminative Dynamics with Label Corruption for Noisy Label Detection.

Suyeon Kim, Dongha Lee, SeongKu Kang, Sukang Chae, Sanghwan Jang, Hwanjo Yu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Multi-Domain Recommendation to Attract Users via Domain Preference Modeling.

Hyunjun Ju, SeongKu Kang, Dongha Lee, Junyoung Hwang, Sanghwan Jang, Hwanjo Yu

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2022

Tag Embedding and Well-defined Intermediate Representation improve Auto-Formulation of Problem Description.

Sanghwan Jang

CoRR, 2022