Publications

ICLR NLP
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, and Hwanjun Song*

International Conference on Learning Representations, 2026

[Paper]

EMNLP NLP
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, Yul Kim, and Hwanjun Song*

International Conference on Empirical Methods in Natural Language Processing (Main), 2025

[Paper]

COLM NLP
ReFeed: Multi-Dimensional Summarization Refinement with Reflective Reasoning on Feedback

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

Conference on Language Modeling, 2025

[Paper]

ACL NLP
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, and Hwanjun Song*

Annual Meeting of the Association for Computational Linguistics (Main), 2025

[Paper]

BigComp Time-series
Temporal Convolutional Network-based Time-Series Segmentation

Hyangsuk Min, Jae-Gil Lee*

International Conference on Big Data and Smart Computing, 2023

[Paper]

AAAI Time-series
Covid-EENet: Predicting Fine-Grained Impact of COVID-19 on Local Economies

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

AAAI Conference on Artificial Intelligence (Oral), 2022

[Paper]

KDD Time-series
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, and Jae-Gil Lee*

International Conference on Knowledge Discovery and Data Mining, 2020

[Paper]