Kang Min Yoo

83 papers A* 14A 1B 2Journal 44Unranked 22
YearRankTypeTitle / Venue / Authors
2026 J jnl
ReflexiCoder: Teaching Large Language Models to Self-Reflect on Generated Code and Self-Correct It via Reinforcement Learning.
CoRR
Juyong Jiang, Jiasi Shen, Sung Hun Kim, Kang Min Yoo, Jeonghoon Kim, Sungju Kim
2025 J jnl
Cross-lingual Collapse: How Language-Centric Foundation Models Shape Reasoning in Large Language Models.
CoRR
Cheonbok Park, Jeonghoon Kim, Joosung Lee, Sanghwan Bae, Jaegul Choo, Kang Min Yoo
2025 J jnl
Enhancing Hallucination Detection via Future Context.
CoRR
Joosung Lee, Cheonbok Park, Hwiyeol Jo, Jeonghoon Kim, Joonsuk Park, Kang Min Yoo
2025 J jnl
Finding Answers in Thought Matters: Revisiting Evaluation on Large Language Models with Reasoning.
CoRR
Hwiyeol Jo, Joosung Lee, Jaehone Lee, Sang-Woo Lee, Joonsuk Park, Kang Min Yoo
2025 — conf
KMMLU: Measuring Massive Multitask Language Understanding in Korean.
NAACL (Long Papers)
Guijin Son, Hanwool Lee, Sungdong Kim, Seungone Kim, Niklas Muennighoff, Taekyoon Choi, Cheonbok Park, Kang Min Yoo, Stella Biderman
2025 — conf
LRQ: Optimizing Post-Training Quantization for Large Language Models by Learning Low-Rank Weight-Scaling Matrices.
NAACL (Long Papers)
Jung Hyun Lee, Jeonghoon Kim, June Yong Yang, Se Jung Kwon, Eunho Yang, Kang Min Yoo, Dongsoo Lee
2025 J jnl
Peri-LN: Revisiting Layer Normalization in the Transformer Architecture.
CoRR
Jeonghoon Kim, Byeongchan Lee, Cheonbok Park, Yeontaek Oh, Beomjun Kim, Taehwan Yoo, Seongjin Shin, Dongyoon Han, Jinwoo Shin, Kang Min Yoo
2025 A* conf
Peri-LN: Revisiting Normalization Layer in the Transformer Architecture.
ICML
Jeonghoon Kim, Byeongchan Lee, Cheonbok Park, Yeontaek Oh, Beomjun Kim, Taehwan Yoo, Seongjin Shin, Dongyoon Han, Jinwoo Shin, Kang Min Yoo
2025 J jnl
ReGUIDE: Data Efficient GUI Grounding via Spatial Reasoning and Search.
CoRR
Hyunseok Lee, Jeonghoon Kim, Beomjun Kim, Jihoon Tack, Chansong Jo, Jaehong Lee, Cheonbok Park, Sookyo In, Jinwoo Shin, Kang Min Yoo
2025 A* conf
Token-Supervised Value Models for Enhancing Mathematical Problem-Solving Capabilities of Large Language Models.
ICLR
Jung Hyun Lee, June Yong Yang, Byeongho Heo, Dongyoon Han, Kyungsu Kim, Eunho Yang, Kang Min Yoo
2025 — conf
ZeroDL: Zero-shot Distribution Learning for Text Clustering via Large Language Models.
ACL (Findings)
Hwiyeol Jo, Hyunwoo Lee, Kang Min Yoo, Taiwoo Park
2024 — conf
Adaptive Contrastive Decoding in Retrieval-Augmented Generation for Handling Noisy Contexts.
EMNLP (Findings)
Youna Kim, Hyuhng Joon Kim, Cheonbok Park, Choonghyun Park, Hyunsoo Cho, Junyeob Kim, Kang Min Yoo, Sang-goo Lee, Taeuk Kim
2024 J jnl
Adaptive Contrastive Decoding in Retrieval-Augmented Generation for Handling Noisy Contexts.
CoRR
Youna Kim, Hyuhng Joon Kim, Cheonbok Park, Choonghyun Park, Hyunsoo Cho, Junyeob Kim, Kang Min Yoo, Sang-goo Lee, Taeuk Kim
2024 A* conf
Aligning Language Models to Explicitly Handle Ambiguity.
EMNLP
Hyuhng Joon Kim, Youna Kim, Cheonbok Park, Junyeob Kim, Choonghyun Park, Kang Min Yoo, Sang-goo Lee, Taeuk Kim
2024 J jnl
Aligning Language Models to Explicitly Handle Ambiguity.
CoRR
Hyuhng Joon Kim, Youna Kim, Cheonbok Park, Junyeob Kim, Choonghyun Park, Kang Min Yoo, Sang-goo Lee, Taeuk Kim
2024 — conf
Aligning Large Language Models by On-Policy Self-Judgment.
ACL (1)
Sangkyu Lee, Sungdong Kim, Ashkan Yousefpour, Minjoon Seo, Kang Min Yoo, Youngjae Yu
2024 J jnl
Aligning Large Language Models by On-Policy Self-Judgment.
CoRR
Sangkyu Lee, Sungdong Kim, Ashkan Yousefpour, Minjoon Seo, Kang Min Yoo, Youngjae Yu
2024 — conf
Instruction Tuning with Human Curriculum.
NAACL-HLT (Findings)
Bruce W. Lee, Hyunsoo Cho, Kang Min Yoo
2024 J jnl
Investigating the Influence of Prompt-Specific Shortcuts in AI Generated Text Detection.
CoRR
Choonghyun Park, Hyuhng Joon Kim, Junyeob Kim, Youna Kim, Taeuk Kim, Hyunsoo Cho, Hwiyeol Jo, Sang-goo Lee, Kang Min Yoo
2024 J jnl
KMMLU: Measuring Massive Multitask Language Understanding in Korean.
CoRR
Guijin Son, Hanwool Lee, Sungdong Kim, Seungone Kim, Niklas Muennighoff, Taekyoon Choi, Cheonbok Park, Kang Min Yoo, Stella Biderman
2024 J jnl
LRQ: Optimizing Post-Training Quantization for Large Language Models by Learning Low-Rank Weight-Scaling Matrices.
CoRR
Jung Hyun Lee, Jeonghoon Kim, June Yong Yang, Se Jung Kwon, Eunho Yang, Kang Min Yoo, Dongsoo Lee
2024 A* conf
Paralinguistics-Aware Speech-Empowered Large Language Models for Natural Conversation.
NeurIPS
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
2024 J jnl
Token-Supervised Value Models for Enhancing Mathematical Reasoning Capabilities of Large Language Models.
CoRR
Jung Hyun Lee, June Yong Yang, Byeongho Heo, Dongyoon Han, Kang Min Yoo
2024 J jnl
Unified Speech-Text Pretraining for Spoken Dialog Modeling.
CoRR
Heeseung Kim, Soonshin Seo, Kyeongseok Jeong, Ohsung Kwon, Jungwhan Kim, Jaehong Lee, Eunwoo Song, Myungwoo Oh, Sungroh Yoon, Kang Min Yoo
2023 A* conf
Aligning Large Language Models through Synthetic Feedback.
EMNLP
Sungdong Kim, Sanghwan Bae, Jamin Shin, Soyoung Kang, Donghyun Kwak, Kang Min Yoo, Minjoon Seo
2023 J jnl
Aligning Large Language Models through Synthetic Feedback.
CoRR
Sungdong Kim, Sanghwan Bae, Jamin Shin, Soyoung Kang, Dong-Hyun Kwak, Kang Min Yoo, Minjoon Seo
2023 — conf
Critic-Guided Decoding for Controlled Text Generation.
ACL (Findings)
Minbeom Kim, Hwanhee Lee, Kang Min Yoo, Joonsuk Park, Hwaran Lee, Kyomin Jung
2023 — conf
HyperT5: Towards Compute-Efficient Korean Language Modeling.
ACL (industry)
Dongju Park, Soonwon Ka, Kang Min Yoo, Gichang Lee, Jaewook Kang
2023 J jnl
Instruction Tuning with Human Curriculum.
CoRR
Bruce W. Lee, Hyunsoo Cho, Kang Min Yoo
2023 A* conf
Memory-Efficient Fine-Tuning of Compressed Large Language Models via sub-4-bit Integer Quantization.
NeurIPS
Jeonghoon Kim, Jung Hyun Lee, Sungdong Kim, Joonsuk Park, Kang Min Yoo, Se Jung Kwon, Dongsoo Lee
2023 J jnl
Memory-Efficient Fine-Tuning of Compressed Large Language Models via sub-4-bit Integer Quantization.
CoRR
Jeonghoon Kim, Jung Hyun Lee, Sungdong Kim, Joonsuk Park, Kang Min Yoo, Se Jung Kwon, Dongsoo Lee
2023 J jnl
On the Analysis of Cross-Lingual Prompt Tuning for Decoder-based Multilingual Model.
CoRR
Nohil Park, Joonsuk Park, Kang Min Yoo, Sungroh Yoon
2023 — conf
Probing Out-of-Distribution Robustness of Language Models with Parameter-Efficient Transfer Learning.
*SEM@ACL
Hyunsoo Cho, Choonghyun Park, Junyeob Kim, Hyuhng Joon Kim, Kang Min Yoo, Sang-goo Lee
2023 J jnl
Probing Out-of-Distribution Robustness of Language Models with Parameter-Efficient Transfer Learning.
CoRR
Hyunsoo Cho, Choonghyun Park, Junyeop Kim, Hyuhng Joon Kim, Kang Min Yoo, Sang-goo Lee
2023 A* conf
Prompt-Augmented Linear Probing: Scaling beyond the Limit of Few-Shot In-Context Learners.
AAAI
Hyunsoo Cho, Hyuhng Joon Kim, Junyeob Kim, Sang-Woo Lee, Sang-goo Lee, Kang Min Yoo, Taeuk Kim
2023 — conf
Universal Domain Adaptation for Robust Handling of Distributional Shifts in NLP.
EMNLP (Findings)
Hyuhng Joon Kim, Hyunsoo Cho, Sang-Woo Lee, Junyeob Kim, Choonghyun Park, Sang-goo Lee, Kang Min Yoo, Taeuk Kim
2023 J jnl
Universal Domain Adaptation for Robust Handling of Distributional Shifts in NLP.
CoRR
Hyuhng Joon Kim, Hyunsoo Cho, Sang-Woo Lee, Junyeob Kim, Choonghyun Park, Sang-goo Lee, Kang Min Yoo, Taeuk Kim
2022 — conf
AlphaTuning: Quantization-Aware Parameter-Efficient Adaptation of Large-Scale Pre-Trained Language Models.
EMNLP (Findings)
Se Jung Kwon, Jeonghoon Kim, Jeongin Bae, Kang Min Yoo, Jin-Hwa Kim, Baeseong Park, Byeongwook Kim, Jung-Woo Ha, Nako Sung, Dongsoo Lee
2022 J jnl
AlphaTuning: Quantization-Aware Parameter-Efficient Adaptation of Large-Scale Pre-Trained Language Models.
CoRR
Se Jung Kwon, Jeonghoon Kim, Jeongin Bae, Kang Min Yoo, Jin-Hwa Kim, Baeseong Park, Byeongwook Kim, Jung-Woo Ha, Nako Sung, Dongsoo Lee
2022 B conf
Attribute Injection for Pretrained Language Models: A New Benchmark and an Efficient Method.
COLING
Reinald Kim Amplayo, Kang Min Yoo, Sang-Woo Lee
2022 B conf
Continuous Decomposition of Granularity for Neural Paraphrase Generation.
COLING
Xiaodong Gu, Zhaowei Zhang, Sang-Woo Lee, Kang Min Yoo, Jung-Woo Ha
2022 J jnl
Continuous Decomposition of Granularity for Neural Paraphrase Generation.
CoRR
Xiaodong Gu, Zhaowei Zhang, Sang-Woo Lee, Kang Min Yoo, Jung-Woo Ha
2022 J jnl
Critic-Guided Decoding for Controlled Text Generation.
CoRR
Minbeom Kim, Hwanhee Lee, Kang Min Yoo, Joonsuk Park, Hwaran Lee, Kyomin Jung
2022 — conf
Enhancing Out-of-Distribution Detection in Natural Language Understanding via Implicit Layer Ensemble.
EMNLP (Findings)
Hyunsoo Cho, Choonghyun Park, Jaewook Kang, Kang Min Yoo, Taeuk Kim, Sang-goo Lee
2022 J jnl
Enhancing Out-of-Distribution Detection in Natural Language Understanding via Implicit Layer Ensemble.
CoRR
Hyunsoo Cho, Choonghyun Park, Jaewook Kang, Kang Min Yoo, Taeuk Kim, Sang-goo Lee
2022 A* conf
Generating Information-Seeking Conversations from Unlabeled Documents.
EMNLP
Gangwoo Kim, Sungdong Kim, Kang Min Yoo, Jaewoo Kang
2022 A* conf
Ground-Truth Labels Matter: A Deeper Look into Input-Label Demonstrations.
EMNLP
Kang Min Yoo, Junyeob Kim, Hyuhng Joon Kim, Hyunsoo Cho, Hwiyeol Jo, Sang-Woo Lee, Sang-goo Lee, Taeuk Kim
2022 J jnl
Ground-Truth Labels Matter: A Deeper Look into Input-Label Demonstrations.
CoRR
Junyeob Kim, Hyuhng Joon Kim, Hyunsoo Cho, Hwiyeol Jo, Sang-Woo Lee, Sang-goo Lee, Kang Min Yoo, Taeuk Kim
2022 — conf
Masked Summarization to Generate Factually Inconsistent Summaries for Improved Factual Consistency Checking.
NAACL-HLT (Findings)
Hwanhee Lee, Kang Min Yoo, Joonsuk Park, Hwaran Lee, Kyomin Jung
2022 J jnl
Masked Summarization to Generate Factually Inconsistent Summaries for Improved Factual Consistency Checking.
CoRR
Hwanhee Lee, Kang Min Yoo, Joonsuk Park, Hwaran Lee, Kyomin Jung
2022 A* conf
Mutual Information Divergence: A Unified Metric for Multimodal Generative Models.
NeurIPS
Jin-Hwa Kim, Yunji Kim, Jiyoung Lee, Kang Min Yoo, Sang-Woo Lee
2022 J jnl
Mutual Information Divergence: A Unified Metric for Multimodal Generative Models.
CoRR
Jin-Hwa Kim, Yunji Kim, Jiyoung Lee, Kang Min Yoo, Sang-Woo Lee
2022 J jnl
Prompt-Augmented Linear Probing: Scaling Beyond The Limit of Few-shot In-Context Learners.
CoRR
Hyunsoo Cho, Hyuhng Joon Kim, Junyeob Kim, Sang-Woo Lee, Sang-goo Lee, Kang Min Yoo, Taeuk Kim
2022 J jnl
Self-Generated In-Context Learning: Leveraging Auto-regressive Language Models as a Demonstration Generator.
CoRR
Hyuhng Joon Kim, Hyunsoo Cho, Junyeob Kim, Taeuk Kim, Kang Min Yoo, Sang-goo Lee
2022 A* conf
TaleBrush: Sketching Stories with Generative Pretrained Language Models.
CHI
John Joon Young Chung, Wooseok Kim, Kang Min Yoo, Hwaran Lee, Eytan Adar, Minsuk Chang
2022 — conf
TaleBrush: Visual Sketching of Story Generation with Pretrained Language Models.
CHI Extended Abstracts
John Joon Young Chung, Wooseok Kim, Kang Min Yoo, Hwaran Lee, Eytan Adar, Minsuk Chang
2022 J jnl
Towards More Realistic Generation of Information-Seeking Conversations.
CoRR
Gangwoo Kim, Sungdong Kim, Kang Min Yoo, Jaewoo Kang
2021 A* conf
DialogBERT: Discourse-Aware Response Generation via Learning to Recover and Rank Utterances.
AAAI
Xiaodong Gu, Kang Min Yoo, Jung-Woo Ha
2021 J jnl
Efficient Attribute Injection for Pretrained Language Models.
CoRR
Reinald Kim Amplayo, Kang Min Yoo, Sang-Woo Lee
2021 — conf
GPT3Mix: Leveraging Large-scale Language Models for Text Augmentation.
EMNLP (Findings)
Kang Min Yoo, Dongju Park, Jaewook Kang, Sang-Woo Lee, Woo-Myoung Park
2021 J jnl
GPT3Mix: Leveraging Large-scale Language Models for Text Augmentation.
CoRR
Kang Min Yoo, Dongju Park, Jaewook Kang, Sang-Woo Lee, Woomyeong Park
2021 J jnl
Response Generation with Context-Aware Prompt Learning.
CoRR
Xiaodong Gu, Kang Min Yoo, Sang-Woo Lee
2021 J jnl
Reward Optimization for Neural Machine Translation with Learned Metrics.
CoRR
Raphael Shu, Kang Min Yoo, Jung-Woo Ha
2021 — conf
Self-Guided Contrastive Learning for BERT Sentence Representations.
ACL/IJCNLP (1)
Taeuk Kim, Kang Min Yoo, Sang-goo Lee
2021 J jnl
Self-Guided Contrastive Learning for BERT Sentence Representations.
CoRR
Taeuk Kim, Kang Min Yoo, Sang-goo Lee
2021 — conf
What Changes Can Large-scale Language Models Bring? Intensive Study on HyperCLOVA: Billions-scale Korean Generative Pretrained Transformers.
EMNLP (1)
Boseop Kim, HyoungSeok Kim, Sang-Woo Lee, Gichang Lee, Dong-Hyun Kwak, Dong Hyeon Jeon, Sunghyun Park, Sungju Kim, Seonhoon Kim, Dongpil Seo, Heungsub Lee, Minyoung Jeong, Sungjae Lee, Minsub Kim, SukHyun Ko, Seokhun Kim, Taeyong Park, Jinuk Kim, Soyoung Kang, Na-Hyeon Ryu, Kang Min Yoo, Minsuk Chang, Soobin Suh, Sookyo In, Jinseong Park, Kyungduk Kim, Hiun Kim, Jisu Jeong, Yong Goo Yeo, Donghoon Ham, Dongju Park, Min Young Lee, Jaewook Kang, Inho Kang, Jung-Woo Ha, Woo-Myoung Park, Nako Sung
2021 J jnl
What Changes Can Large-scale Language Models Bring? Intensive Study on HyperCLOVA: Billions-scale Korean Generative Pretrained Transformers.
CoRR
Boseop Kim, HyoungSeok Kim, Sang-Woo Lee, Gichang Lee, Dong-Hyun Kwak, Dong Hyeon Jeon, Sunghyun Park, Sungju Kim, Seonhoon Kim, Dongpil Seo, Heungsub Lee, Minyoung Jeong, Sungjae Lee, Minsub Kim, SukHyun Ko, Seokhun Kim, Taeyong Park, Jinuk Kim, Soyoung Kang, Na-Hyeon Ryu, Kang Min Yoo, Minsuk Chang, Soobin Suh, Sookyo In, Jinseong Park, Kyungduk Kim, Hiun Kim, Jisu Jeong, Yong Goo Yeo, Donghoon Ham, Dongju Park, Min Young Lee, Jaewook Kang, Inho Kang, Jung-Woo Ha, Woo-Myoung Park, Nako Sung
2020 J jnl
DialogBERT: Discourse-Aware Response Generation via Learning to Recover and Rank Utterances.
CoRR
Xiaodong Gu, Kang Min Yoo, Jung-Woo Ha
2020 — conf
Variational Hierarchical Dialog Autoencoder for Dialog State Tracking Data Augmentation.
EMNLP (1)
Kang Min Yoo, Hanbit Lee, Franck Dernoncourt, Trung Bui, Walter Chang, Sang-goo Lee
2020 J jnl
Variational Hierarchical Dialog Autoencoder for Dialogue State Tracking Data Augmentation.
CoRR
Kang Min Yoo, Hanbit Lee, Franck Dernoncourt, Trung Bui, Walter Chang, Sang-goo Lee
2019 A* conf
Data Augmentation for Spoken Language Understanding via Joint Variational Generation.
AAAI
Kang Min Yoo, Youhyun Shin, Sang-goo Lee
2019 — conf
Don't Just Scratch the Surface: Enhancing Word Representations for Korean with Hanja.
EMNLP/IJCNLP (1)
Kang Min Yoo, Taeuk Kim, Sang-goo Lee
2019 J jnl
Don't Just Scratch the Surface: Enhancing Word Representations for Korean with Hanja.
CoRR
Kang Min Yoo, Taeuk Kim, Sang-goo Lee
2019 — conf
Leveraging Class Hierarchy in Fashion Classification.
ICCV Workshops
Hyunsoo Cho, Chaemin Ahn, Kang Min Yoo, Jinseok Seol, Sang-goo Lee
2019 — conf
Stochastic Relational Network.
ICCV Workshops
Kang Min Yoo, Hyun Soo Jo, Hanbit Lee, Jeeseung Han, Sang-goo Lee
2019 J jnl
Utterance Generation With Variational Auto-Encoder for Slot Filling in Spoken Language Understanding.
IEEE Signal Process. Lett.
Youhyun Shin, Kang Min Yoo, Sang-goo Lee
2018 J jnl
Data Augmentation for Spoken Language Understanding via Joint Variational Generation.
CoRR
Kang Min Yoo, Youhyun Shin, Sang-goo Lee
2018 A* conf
Learning to Compose Task-Specific Tree Structures.
AAAI
Jihun Choi, Kang Min Yoo, Sang-goo Lee
2018 J jnl
On a conjecture of Karasev.
Comput. Geom.
Seunghun Lee, Kang Min Yoo
2018 A conf
Slot Filling with Delexicalized Sentence Generation.
INTERSPEECH
Youhyun Shin, Kang Min Yoo, Sang-goo Lee
2017 J jnl
Improving Visually Grounded Sentence Representations with Self-Attention.
CoRR
Kang Min Yoo, Youhyun Shin, Sang-goo Lee
2017 J jnl
Unsupervised Learning of Task-Specific Tree Structures with Tree-LSTMs.
CoRR
Jihun Choi, Kang Min Yoo, Sang-goo Lee
2014 — conf
RDB2Graph: A Generic Framework for Modeling Relational Databases as Graphs.
JIST (Workshops & Posters)
Kang Min Yoo, Sungchan Park, Sang-goo Lee