Hyangsuk Min

According to our database, Hyangsuk Min authored at least 7 papers between 2020 and 2026.

Collaborative distances:

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

2026

Completing Missing Annotation: Multi-Agent Debate for Accurate and Scalable Relevant Assessment for IR Benchmarks.

Minjeong Ban, Jeonghwan Choi, Hyangsuk Min, Nicole Hee-Yeon Kim, Minseok Kim, Jae-Gil Lee, Hwanjun Song

CoRR, February, 2026

2025

ReFeed: Multi-dimensional Summarization Refinement with Reflective Reasoning on Feedback.

Taewon Yun, Jihwan Oh, Hyangsuk Min, Yuho Lee, Jihwan Bang, Jason Cai, Hwanjun Song

CoRR, March, 2025

Towards a Holistic and Automated Evaluation Framework for Multi-Level Comprehension of LLMs in Book-Length Contexts.

Yuho Lee, Jiaqi Deng, Nicole Hee-Yeon Kim, Hyangsuk Min, Taewon Yun, Minjeong Ban, Kim Yul, Hwanjun Song

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

Towards Multi-dimensional Evaluation of LLM Summarization across Domains and Languages.

Hyangsuk Min, Yuho Lee, Minjeong Ban, Jiaqi Deng, Nicole Hee-Yeon Kim, Taewon Yun, Hang Su, Jason Cai, Hwanjun Song

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2023

Temporal Convolutional Network-Based Time-Series Segmentation.

Hyangsuk Min, Jae-Gil Lee

Proceedings of the IEEE International Conference on Big Data and Smart Computing, 2023

2022

COVID-EENet: Predicting Fine-Grained Impact of COVID-19 on Local Economies.

Doyoung Kim, Hyangsuk Min, Youngeun Nam, Hwanjun Song, Susik Yoon, Minseok Kim, Jae-Gil Lee

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2020

Hi-COVIDNet: Deep Learning Approach to Predict Inbound COVID-19 Patients and Case Study in South Korea.

Minseok Kim, Junhyeok Kang, Doyoung Kim, Hwanjun Song, Hyangsuk Min, Youngeun Nam, Dongmin Park, Jae-Gil Lee

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020