RDB2Graph: A Generic Framework for Modeling Relational Databases as Graphs. - Kang Min Yoo; Sungchan Park; Sang-goo Lee (JIST (Workshops & Posters), 2014)

Unsupervised Learning of Task-Specific Tree Structures with Tree-LSTMs. - Jihun Choi; Kang Min Yoo; Sang-goo Lee (CoRR, 2017)

Improving Visually Grounded Sentence Representations with Self-Attention. - Kang Min Yoo; Youhyun Shin; Sang-goo Lee (CoRR, 2017)

Learning to Compose Task-Specific Tree Structures. - Jihun Choi; Kang Min Yoo; Sang-goo Lee (AAAI, 2018)

Slot Filling with Delexicalized Sentence Generation. - Youhyun Shin; Kang Min Yoo; Sang-goo Lee (INTERSPEECH, 2018)

On a conjecture of Karasev. - Seunghun Lee; Kang Min Yoo (Comput. Geom., 2018)

Data Augmentation for Spoken Language Understanding via Joint Variational Generation. - Kang Min Yoo; Youhyun Shin; Sang-goo Lee (AAAI, 2019)

Don't Just Scratch the Surface: Enhancing Word Representations for Korean with Hanja. - Kang Min Yoo; Taeuk Kim; Sang-goo Lee (EMNLP/IJCNLP (1), 2019)

Leveraging Class Hierarchy in Fashion Classification. - Hyunsoo Cho; Chaemin Ahn; Kang Min Yoo; Jinseok Seol; Sang-goo Lee (ICCV Workshops, 2019)

Stochastic Relational Network. - Kang Min Yoo; Hyun Soo Jo; Hanbit Lee; Jeeseung Han; Sang-goo Lee (ICCV Workshops, 2019)

Utterance Generation With Variational Auto-Encoder for Slot Filling in Spoken Language Understanding. - Youhyun Shin; Kang Min Yoo; Sang-goo Lee (IEEE Signal Process. Lett., 2019)

Variational Hierarchical Dialog Autoencoder for Dialog State Tracking Data Augmentation. - Kang Min Yoo; Hanbit Lee; Franck Dernoncourt; Trung Bui; Walter Chang; Sang-goo Lee (EMNLP (1), 2020)

Variational Hierarchical Dialog Autoencoder for Dialogue State Tracking Data Augmentation. - Kang Min Yoo; Hanbit Lee; Franck Dernoncourt; Trung Bui; Walter Chang; Sang-goo Lee (CoRR, 2020)

DialogBERT: Discourse-Aware Response Generation via Learning to Recover and Rank Utterances. - Xiaodong Gu 002; Kang Min Yoo; Jung-Woo Ha 001 (AAAI, 2021)

Self-Guided Contrastive Learning for BERT Sentence Representations. - Taeuk Kim; Kang Min Yoo; Sang-goo Lee (ACL/IJCNLP (1), 2021)

What Changes Can Large-scale Language Models Bring? Intensive Study on HyperCLOVA: Billions-scale Korean Generative Pretrained Transformers. - Boseop Kim; HyoungSeok Kim; Sang-Woo Lee 001; Gichang Lee; Dong-Hyun Kwak; Dong Hyeon Jeon; Sunghyun Park 005; Sungju Kim; Seonhoon Kim; Dongpil Seo; Heungsub Lee; Minyoung Jeong; et al. (EMNLP (1), 2021)

GPT3Mix: Leveraging Large-scale Language Models for Text Augmentation. - Kang Min Yoo; Dongju Park; Jaewook Kang; Sang-Woo Lee 001; Woo-Myoung Park (EMNLP (Findings), 2021)

Reward Optimization for Neural Machine Translation with Learned Metrics. - Raphael Shu; Kang Min Yoo; Jung-Woo Ha 001 (CoRR, 2021)

GPT3Mix: Leveraging Large-scale Language Models for Text Augmentation. - Kang Min Yoo; Dongju Park; Jaewook Kang; Sang-Woo Lee 001; Woomyeong Park (CoRR, 2021)

Efficient Attribute Injection for Pretrained Language Models. - Reinald Kim Amplayo; Kang Min Yoo; Sang-Woo Lee 001 (CoRR, 2021)

Response Generation with Context-Aware Prompt Learning. - Xiaodong Gu 002; Kang Min Yoo; Sang-Woo Lee 001 (CoRR, 2021)

TaleBrush: Sketching Stories with Generative Pretrained Language Models. - John Joon Young Chung; Wooseok Kim; Kang Min Yoo; Hwaran Lee; Eytan Adar; Minsuk Chang (CHI, 2022)

TaleBrush: Visual Sketching of Story Generation with Pretrained Language Models. - John Joon Young Chung; Wooseok Kim; Kang Min Yoo; Hwaran Lee; Eytan Adar; Minsuk Chang (CHI Extended Abstracts, 2022)

Continuous Decomposition of Granularity for Neural Paraphrase Generation. - Xiaodong Gu 002; Zhaowei Zhang; Sang-Woo Lee 001; Kang Min Yoo; Jung-Woo Ha 001 (COLING, 2022)

Attribute Injection for Pretrained Language Models: A New Benchmark and an Efficient Method. - Reinald Kim Amplayo; Kang Min Yoo; Sang-Woo Lee 001 (COLING, 2022)

Enhancing Out-of-Distribution Detection in Natural Language Understanding via Implicit Layer Ensemble. - Hyunsoo Cho; Choonghyun Park; Jaewook Kang; Kang Min Yoo; Taeuk Kim; Sang-goo Lee (EMNLP (Findings), 2022)

Generating Information-Seeking Conversations from Unlabeled Documents. - Gangwoo Kim; Sungdong Kim; Kang Min Yoo; Jaewoo Kang (EMNLP, 2022)

AlphaTuning: Quantization-Aware Parameter-Efficient Adaptation of Large-Scale Pre-Trained Language Models. - Se Jung Kwon; Jeonghoon Kim; Jeongin Bae; Kang Min Yoo; Jin-Hwa Kim; Baeseong Park; Byeongwook Kim; Jung-Woo Ha 001; Nako Sung; Dongsoo Lee (EMNLP (Findings), 2022)

Ground-Truth Labels Matter: A Deeper Look into Input-Label Demonstrations. - Kang Min Yoo; Junyeob Kim; Hyuhng Joon Kim; Hyunsoo Cho; Hwiyeol Jo; Sang-Woo Lee 001; Sang-goo Lee; Taeuk Kim (EMNLP, 2022)

Masked Summarization to Generate Factually Inconsistent Summaries for Improved Factual Consistency Checking. - Hwanhee Lee; Kang Min Yoo; Joonsuk Park; Hwaran Lee; Kyomin Jung (NAACL-HLT (Findings), 2022)

Mutual Information Divergence: A Unified Metric for Multimodal Generative Models. - Jin-Hwa Kim; Yunji Kim; Jiyoung Lee; Kang Min Yoo; Sang-Woo Lee 001 (NeurIPS, 2022)

Towards More Realistic Generation of Information-Seeking Conversations. - Gangwoo Kim; Sungdong Kim; Kang Min Yoo; Jaewoo Kang (CoRR, 2022)

Self-Generated In-Context Learning: Leveraging Auto-regressive Language Models as a Demonstration Generator. - Hyuhng Joon Kim; Hyunsoo Cho; Junyeob Kim; Taeuk Kim; Kang Min Yoo; Sang-goo Lee (CoRR, 2022)

Prompt-Augmented Linear Probing: Scaling beyond the Limit of Few-Shot In-Context Learners. - Hyunsoo Cho; Hyuhng Joon Kim; Junyeob Kim; Sang-Woo Lee 001; Sang-goo Lee; Kang Min Yoo; Taeuk Kim (AAAI, 2023)

Critic-Guided Decoding for Controlled Text Generation. - Minbeom Kim; Hwanhee Lee; Kang Min Yoo; Joonsuk Park; Hwaran Lee; Kyomin Jung (ACL (Findings), 2023)

HyperT5: Towards Compute-Efficient Korean Language Modeling. - Dongju Park; Soonwon Ka; Kang Min Yoo; Gichang Lee; Jaewook Kang (ACL (industry), 2023)

Aligning Large Language Models through Synthetic Feedback. - Sungdong Kim; Sanghwan Bae; Jamin Shin; Soyoung Kang; Donghyun Kwak; Kang Min Yoo; Minjoon Seo (EMNLP, 2023)

Universal Domain Adaptation for Robust Handling of Distributional Shifts in NLP. - Hyuhng Joon Kim; Hyunsoo Cho; Sang-Woo Lee 001; Junyeob Kim; Choonghyun Park; Sang-goo Lee; Kang Min Yoo; Taeuk Kim (EMNLP (Findings), 2023)

Memory-Efficient Fine-Tuning of Compressed Large Language Models via sub-4-bit Integer Quantization. - Jeonghoon Kim; Jung Hyun Lee; Sungdong Kim; Joonsuk Park; Kang Min Yoo; Se Jung Kwon; Dongsoo Lee (NeurIPS, 2023)

Probing Out-of-Distribution Robustness of Language Models with Parameter-Efficient Transfer Learning. - Hyunsoo Cho; Choonghyun Park; Junyeob Kim; Hyuhng Joon Kim; Kang Min Yoo; Sang-goo Lee (*SEM@ACL, 2023)

Probing Out-of-Distribution Robustness of Language Models with Parameter-Efficient Transfer Learning. - Hyunsoo Cho; Choonghyun Park; Junyeop Kim; Hyuhng Joon Kim; Kang Min Yoo; Sang-goo Lee (CoRR, 2023)

On the Analysis of Cross-Lingual Prompt Tuning for Decoder-based Multilingual Model. - Nohil Park; Joonsuk Park; Kang Min Yoo; Sungroh Yoon (CoRR, 2023)

Aligning Large Language Models by On-Policy Self-Judgment. - Sangkyu Lee; Sungdong Kim; Ashkan Yousefpour; Minjoon Seo; Kang Min Yoo; Youngjae Yu (ACL (1), 2024)

Aligning Language Models to Explicitly Handle Ambiguity. - Hyuhng Joon Kim; Youna Kim; Cheonbok Park; Junyeob Kim; Choonghyun Park; Kang Min Yoo; Sang-goo Lee; Taeuk Kim (EMNLP, 2024)

Adaptive Contrastive Decoding in Retrieval-Augmented Generation for Handling Noisy Contexts. - Youna Kim; Hyuhng Joon Kim; Cheonbok Park; Choonghyun Park; Hyunsoo Cho; Junyeob Kim; Kang Min Yoo; Sang-goo Lee; Taeuk Kim (EMNLP (Findings), 2024)

Instruction Tuning with Human Curriculum. - Bruce W. Lee; Hyunsoo Cho; Kang Min Yoo (NAACL-HLT (Findings), 2024)

Paralinguistics-Aware Speech-Empowered Large Language Models for Natural Conversation. - Heeseung Kim; Soonshin Seo; Kyeongseok Jeong; Ohsung Kwon; Soyoon Kim; Jungwhan Kim; Jaehong Lee; Eunwoo Song; Myungwoo Oh; Jung-Woo Ha; Sungroh Yoon; Kang Min Yoo (NeurIPS, 2024)

Unified Speech-Text Pretraining for Spoken Dialog Modeling. - Heeseung Kim; Soonshin Seo; Kyeongseok Jeong; Ohsung Kwon; Jungwhan Kim; Jaehong Lee; Eunwoo Song; Myungwoo Oh; Sungroh Yoon; Kang Min Yoo (CoRR, 2024)

HyperCLOVA X Technical Report. - Kang Min Yoo; Jaegeun Han; Sookyo In; Heewon Jeon; Jisu Jeong; Jaewook Kang; Hyunwook Kim; Kyung-Min Kim; Munhyong Kim; Sungju Kim; Donghyun Kwak; Hanock Kwak; et al. (CoRR, 2024)

Investigating the Influence of Prompt-Specific Shortcuts in AI Generated Text Detection. - Choonghyun Park; Hyuhng Joon Kim; Junyeob Kim; Youna Kim; Taeuk Kim; Hyunsoo Cho; Hwiyeol Jo; Sang-goo Lee; Kang Min Yoo (CoRR, 2024)

Token-Supervised Value Models for Enhancing Mathematical Reasoning Capabilities of Large Language Models. - Jung Hyun Lee; June Yong Yang; Byeongho Heo; Dongyoon Han; Kang Min Yoo (CoRR, 2024)

ZeroDL: Zero-shot Distribution Learning for Text Clustering via Large Language Models. - Hwiyeol Jo; Hyunwoo Lee; Kang Min Yoo; Taiwoo Park (ACL (Findings), 2025)

Token-Supervised Value Models for Enhancing Mathematical Problem-Solving Capabilities of Large Language Models. - Jung Hyun Lee; June Yong Yang; Byeongho Heo; Dongyoon Han; Kyungsu Kim; Eunho Yang; Kang Min Yoo (ICLR, 2025)

LRQ: Optimizing Post-Training Quantization for Large Language Models by Learning Low-Rank Weight-Scaling Matrices. - Jung Hyun Lee; Jeonghoon Kim; June Yong Yang; Se Jung Kwon; Eunho Yang; Kang Min Yoo; Dongsoo Lee (NAACL (Long Papers), 2025)

KMMLU: Measuring Massive Multitask Language Understanding in Korean. - Guijin Son; Hanwool Lee; Sungdong Kim; Seungone Kim; Niklas Muennighoff; Taekyoon Choi; Cheonbok Park; Kang Min Yoo; Stella Biderman (NAACL (Long Papers), 2025)

Peri-LN: Revisiting Layer Normalization in the Transformer Architecture. - Jeonghoon Kim; Byeongchan Lee 001; Cheonbok Park; Yeontaek Oh; Beomjun Kim; Taehwan Yoo; Seongjin Shin; Dongyoon Han; Jinwoo Shin; Kang Min Yoo (CoRR, 2025)

ReGUIDE: Data Efficient GUI Grounding via Spatial Reasoning and Search. - Hyunseok Lee; Jeonghoon Kim; Beomjun Kim; Jihoon Tack; Chansong Jo; Jaehong Lee; Cheonbok Park; Sookyo In; Jinwoo Shin; Kang Min Yoo (CoRR, 2025)

Cross-lingual Collapse: How Language-Centric Foundation Models Shape Reasoning in Large Language Models. - Cheonbok Park; Jeonghoon Kim; Joosung Lee; Sanghwan Bae; Jaegul Choo; Kang Min Yoo (CoRR, 2025)

Enhancing Hallucination Detection via Future Context. - Joosung Lee; Cheonbok Park; Hwiyeol Jo; Jeonghoon Kim; Joonsuk Park; Kang Min Yoo (CoRR, 2025)