Hongseok Kang

According to our database, Hongseok Kang authored at least 5 papers between 2024 and 2025.

Collaborative distances:

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

2025

Image is All You Need: Towards Efficient and Effective Large Language Model-Based Recommender Systems.

Kibum Kim, Sein Kim, Hongseok Kang, Jiwan Kim, Heewoong Noh, Yeonjun In, Kanghoon Yoon, Jinoh Oh, Chanyoung Park

CoRR, March, 2025

Lost in Sequence: Do Large Language Models Understand Sequential Recommendation?

Sein Kim, Hongseok Kang, Kibum Kim, Jiwan Kim, Donghyun Kim, Minchul Yang, Kwangjin Oh, Julian J. McAuley, Chanyoung Park

CoRR, February, 2025

Disentangling and Generating Modalities for Recommendation in Missing Modality Scenarios.

Jiwan Kim, Hongseok Kang, Sein Kim, Kibum Kim, Chanyoung Park

Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

Dynamic Time-aware Continual User Representation Learning.

Seungyoon Choi, Sein Kim, Hongseok Kang, Wonjoong Kim, Chanyoung Park

Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

2024

Large Language Models meet Collaborative Filtering: An Efficient All-round LLM-based Recommender System.

Sein Kim, Hongseok Kang, Seungyoon Choi, Donghyun Kim, Min-Chul Yang, Chanyoung Park

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024