발행물

전체 논문

67

21

One Size Fits All for Semantic Shifts: Adaptive Prompt Tuning for Continual Learning
Doyoung Kim, Susik Yoon, Dongmin Park, Youngjun Lee, Hwanjun Song, Jihwan Bang, Jae-Gil Lee*
International Conference on Machine Learning, 2024

22

MAGID: An Automated Pipeline for Generating Synthetic Multi-modal Datasets
Hossein Aboutalebi, Hwanjun Song*, Yusheng Xie, Arshit Gupta, Justin Sun, Hang Su, Igor Shalyminov, Nikolaos Pappas, Siffi Singh, Saab Mansour (with Amazon)
Annual Conference of the North American Chapter of the Association for Computational Linguistics (Main), 2024

23

TofuEval: Evaluating Hallucinations of LLMs on Topic-Focused Dialogue Summarization
Liyan Tang, Igor Shalyminov, Amy Wing-mei Wong, Jon Burnsky, Jake W Vincent, Yu’an Yang, Siffi Singh, Song Feng, Hwanjun Song, Hang Su, Lijia Sun, Yi Zhang, Saab Mansour, Kathleen McKeown (with Amazon)
Annual Conference of the North American Chapter of the Association for Computational Linguistics (Main), 2024

24

Semi-Supervised Dialogue Abstractive Summarization via High-Quality Pseudolabel Selection
Jianfeng He, Hang Su, Jason Cai, Igor Shalyminov, Hwanjun Song, Saab Mansour (with Amazon)
Annual Conference of the North American Chapter of the Association for Computational Linguistics (Main), 2024

25

Breaking the Time-Frequency Granularity Discrepancy in Time-Series Anomaly Detection
Youngeun Nam, Susik Yoon, Yooju Shin, Minyoung Bae, Hwanjun Song, Jae-Gil Lee*, Byung Suk Lee (with UVM)
Proceedings of The Web Conference, 2024

26

Adaptive Shortcut Debiasing for Online Continual Learning
Doyoung Kim, Dongmin Park, Yooju Shin, Jihwan Bang, Hwanjun Song, Jae-Gil Lee*
AAAI Conference on Artificial Intelligence, 2024

27

Toward Robustness in Multi-label Classification: A Data Augmentation Strategy against Imbalance and Noise
Hwanjun Song*, Minseok Kim, Jae-Gil Lee (with Amazon)
AAAI Conference on Artificial Intelligence, 2024

28

Enhancing Abstractiveness of Summarization Models through Calibrated Distillation
Hwanjun Song*, Igor Shalyminov, Hang Su, Siffi Singh, Kaisheng Yao, Saab Mansour (with Amazon)
International Conference on Empirical Methods in Natural Language Processing (Findings), 2023

29

Fast and Robust Early-Exiting Framework for Autoregressive Language Models with Synchronized Parallel Decoding
Sangmin Bae, Jongwoo Ko, Hwanjun Song*, Se-Young Yun* (with Amazon)
International Conference on Empirical Methods in Natural Language Processing (Main), 2023

30

Robust Data Pruning under Label Noise via Maximizing Re-labeling Accuracy
Dongmin Park, Seola Choi, Doyoung Kim, Hwanjun Song, Jae-Gil Lee*
Advances in Neural Information Processing Systems, 2023