Publications

Byeongjin Kim, Gyuwan Kim, Seo Yeon Park (2026). PPA-Plan: Proactive Pitfall Avoidance for Reliable Planning in Long-Context LLM Reasoning.

Gyuwan Kim, Yang Li, Evangelia Spiliopoulou, Jie Ma, William Yang Wang (2025). Detecting Training Data of Large Language Models via Expectation Maximization. EACL 2026.

Soyoung Yoon*, Gyuwan Kim*, Gyu-Hwung Cho, Seung-Won Hwang (2025). AcuRank: Uncertainty-Aware Adaptive Computation for Listwise Reranking. NeurIPS 2025.

Dongwon Noh*, Donghyeok Koh*, Junghun Yuk*, Gyuwan Kim*, Jaeyong Lee, Kyungtae Lim, Cheoneum Park (2025). ScholarBench: A Bilingual Benchmark for Abstraction, Comprehension, and Reasoning Evaluation in Academic Contexts. Findings of EMNLP 2025.

Paper Code Dataset

Woosang Lim*, Zekun Li*, Gyuwan Kim*, Sungyoung Ji*, HyeonJung Kim, Kyuri Choi, Jin Hyuk Lim, Kyungpyo Park, William Yang Wang (2025). MacRAG: Compress, Slice, and Scale-up for Multi-Scale Adaptive Context RAG.

Soyoung Yoon, Sungjoon Park, Gyuwan Kim, Junhee Cho, Kihyo Park, Gyu Tae Kim, Minjoon Seo, Alice Oh (2023). Towards Standardizing Korean Grammatical Error Correction: Datasets and Annotation. ACL 2023.

Gyuwan Kim, Jinhyuk Lee, Barlas Oguz, Wenhan Xiong, Yizhe Zhang, Yashar Mehdad, William Yang Wang (2022). Bridging the Training-Inference Gap for Dense Phrase Retrieval. Findings of EMNLP 2022.

Paper Poster Slides Video

Jungsoo Park*, Gyuwan Kim*, Jaewoo Kang (2022). Consistency Training with Virtual Adversarial Discrete Perturbation. NAACL 2022.

Shira Guskin, Moshe Wasserblat, Ke Ding, Gyuwan Kim (2021). Dynamic-TinyBERT: Boost TinyBERT's Inference Efficiency by Dynamic Sequence Length. ENLSP Workshop @ NeurIPS 2021.

Paper Code Model Poster

Sunyoung Kwon*, Gyuwan Kim*, Byunghan Lee, Jongsik Chun, Sungroh Yoon, Young-Han Kim (2021). NASCUP: Nucleic Acid Sequence Classification by Universal Probability. IEEE Access 2021.

Paper Code Dataset

Soyoung Yoon*, Gyuwan Kim*, Kyumin Park (2021). SSMix: Saliency-based Span Mixup for Text Classification. Findings of ACL 2021.

Gyuwan Kim, Kyunghyun Cho (2021). Length-Adaptive Transformer: Train Once with Length Drop, Use Anytime with Search. ACL 2021.

Paper Code Slides Video

Seongbin Kim*, Gyuwan Kim*, Seongjin Shin, Sangmin Lee (2020). Two-stage Textual Knowledge Distillation for End-to-End Spoken Language Understanding. ICASSP 2021.

Paper Code Poster

Minjeong Kim, Gyuwan Kim, Sang-Woo Lee, Jung-Woo Ha (2020). ST-BERT: Cross-modal Language Model Pre-training For End-to-end Spoken Language Understanding. ICASSP 2021.

Byeongho Heo*, Sanghyuk Chun*, Seong Joon Oh, Dongyoon Han, Sangdoo Yun, Gyuwan Kim, Youngjung Uh, Jung-Woo Ha (2020). AdamP: Slowing Down the Slowdown for Momentum Optimizers on Scale-invariant Weights. ICLR 2021.

Paper Code Slides

Gyuwan Kim*, Tae-Hwan Jung* (2020). Large Product Key Memory for Pretrained Language Models. Findings of EMNLP 2020.

Paper Code Video

Sungdong Kim, Sohee Yang, Gyuwan Kim, Sang-Woo Lee (2019). Efficient Dialogue State Tracking by Selectively Overwriting Memory. ACL 2020.

Paper Code Video

Gyuwan Kim (2019). Subword Language Model for Query Auto-Completion. EMNLP-IJCNLP 2019.

Hayoon Yi*, Gyuwan Kim*, Jangho Lee, Sunwoo Ahn, Younghan Lee, Sungroh Yoon, Yunheung Paek (2018). Mimicry Resilient Program Behavior Modeling with LSTM based Branch Models. S&P 2018 DLS Workshop.

Jangho Lee, Gyuwan Kim, Jaeyoon Yoo, Changwoo Jung, Minseok Kim, Sungroh Yoon (2016). Training IBM Watson using Automatically Generated Question-Answer Pairs. HICSS 2017.

Gyuwan Kim, Hayoon Yi, Jangho Lee, Yunheung Paek, Sungroh Yoon (2016). LSTM-Based System-Call Language Modelling and Robust Ensemble Method for Designing Host-Based Intrusion Detection System.