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2020 – today
- 2024
[c33]Sangkyu Lee, Sungdong Kim, Ashkan Yousefpour, Minjoon Seo, Kang Min Yoo, Youngjae Yu:
Aligning Large Language Models by On-Policy Self-Judgment. ACL (1) 2024: 11442-11459- [c32]Hyuhng Joon Kim, Youna Kim, Cheonbok Park, Junyeob Kim, Choonghyun Park, Kang Min Yoo, Sang-goo Lee, Taeuk Kim:
Aligning Language Models to Explicitly Handle Ambiguity. EMNLP 2024: 1989-2007 - [c31]Youna Kim, Hyuhng Joon Kim, Cheonbok Park, Choonghyun Park, Hyunsoo Cho, Junyeob Kim, Kang Min Yoo, Sang-goo Lee, Taeuk Kim:
Adaptive Contrastive Decoding in Retrieval-Augmented Generation for Handling Noisy Contexts. EMNLP (Findings) 2024: 2421-2431 - [c30]Bruce W. Lee, Hyunsoo Cho, Kang Min Yoo:
Instruction Tuning with Human Curriculum. NAACL-HLT (Findings) 2024: 1281-1309 - [i37]Heeseung Kim, Soonshin Seo, Kyeongseok Jeong, Ohsung Kwon, Jungwhan Kim, Jaehong Lee, Eunwoo Song, Myungwoo Oh, Sungroh Yoon, Kang Min Yoo:
Unified Speech-Text Pretraining for Spoken Dialog Modeling. CoRR abs/2402.05706 (2024) - [i36]Sangkyu Lee, Sungdong Kim, Ashkan Yousefpour, Minjoon Seo, Kang Min Yoo, Youngjae Yu:
Aligning Large Language Models by On-Policy Self-Judgment. CoRR abs/2402.11253 (2024) - [i35]Guijin Son, Hanwool Lee, Sungdong Kim, Seungone Kim, Niklas Muennighoff, Taekyoon Choi, Cheonbok Park, Kang Min Yoo, Stella Biderman:
KMMLU: Measuring Massive Multitask Language Understanding in Korean. CoRR abs/2402.11548 (2024) - [i34]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, Se Jung Kwon, Bado Lee, Dongsoo Lee, Gichang Lee, Jooho Lee, Baeseong Park, Seongjin Shin, Joonsang Yu, Seolki Baek, Sumin Byeon, Eungsup Cho, Dooseok Choe, Jeeseung Han, Youngkyun Jin, Hyein Jun, Jaeseung Jung, Chanwoong Kim, Jinhong Kim, Jinuk Kim, Dokyeong Lee, Dong Wook Park, Jeong Min Sohn, Sujung Han, Jiae Heo, Sungju Hong, Mina Jeon, Hyunhoon Jung, Jungeun Jung, Wangkyo Jung, Chungjoon Kim, Hyeri Kim, Jonghyun Kim, Min Young Kim, Soeun Lee, Joonhee Park, Jieun Shin, Sojin Yang, Jungsoon Yoon, Hwaran Lee, Sanghwan Bae, Jeehwan Cha, Karl Gylleus, Donghoon Ham, Mihak Hong, Youngki Hong, Yunki Hong, Dahyun Jang, Hyojun Jeon, Yujin Jeon, Yeji Jeong, Myunggeun Ji, Yeguk Jin, Chansong Jo, Shinyoung Joo, Seunghwan Jung, Adrian Jungmyung Kim, Byoung Hoon Kim, Hyomin Kim, Jungwhan Kim, Minkyoung Kim, Minseung Kim, Sungdong Kim, Yonghee Kim, Youngjun Kim, Youngkwan Kim, Donghyeon Ko, Dughyun Lee, Hayoung Lee, Jaehong Lee, Jieun Lee, Jonghyun Lee, Jongjin Lee, Min Young Lee, Yehbin Lee, Taehong Min, Yuri Min, Kiyoon Moon, Hyangnam Oh, Jaesun Park, Kyuyon Park, Younghun Park, Hanbae Seo, Seunghyun Seo, Mihyun Sim, Gyubin Son, Matt Yeo, Kyung Hoon Yeom, Wonjoon Yoo:
HyperCLOVA X Technical Report. CoRR abs/2404.01954 (2024) - [i33]Hyuhng Joon Kim, Youna Kim, Cheonbok Park, Junyeob Kim, Choonghyun Park, Kang Min Yoo, Sang-goo Lee, Taeuk Kim:
Aligning Language Models to Explicitly Handle Ambiguity. CoRR abs/2404.11972 (2024) - [i32]Choonghyun Park, Hyuhng Joon Kim, Junyeob Kim, Youna Kim, Taeuk Kim, Hyunsoo Cho, Hwiyeol Jo, Sang-goo Lee, Kang Min Yoo:
Investigating the Influence of Prompt-Specific Shortcuts in AI Generated Text Detection. CoRR abs/2406.16275 (2024) - [i31]Jung Hyun Lee, Jeonghoon Kim, June Yong Yang, Se Jung Kwon, Eunho Yang, Kang Min Yoo, Dongsoo Lee:
LRQ: Optimizing Post-Training Quantization for Large Language Models by Learning Low-Rank Weight-Scaling Matrices. CoRR abs/2407.11534 (2024) - [i30]Jung Hyun Lee, June Yong Yang, Byeongho Heo, Dongyoon Han, Kang Min Yoo:
Token-Supervised Value Models for Enhancing Mathematical Reasoning Capabilities of Large Language Models. CoRR abs/2407.12863 (2024) - [i29]Youna Kim, Hyuhng Joon Kim, Cheonbok Park, Choonghyun Park, Hyunsoo Cho, Junyeob Kim, Kang Min Yoo, Sang-goo Lee, Taeuk Kim:
Adaptive Contrastive Decoding in Retrieval-Augmented Generation for Handling Noisy Contexts. CoRR abs/2408.01084 (2024) - 2023
- [c29]Hyunsoo Cho, Hyuhng Joon Kim, Junyeob Kim, Sang-Woo Lee, Sang-goo Lee, Kang Min Yoo
, Taeuk Kim:
Prompt-Augmented Linear Probing: Scaling beyond the Limit of Few-Shot In-Context Learners. AAAI 2023: 12709-12718 - [c28]Dongju Park, Soonwon Ka, Kang Min Yoo, Gichang Lee, Jaewook Kang:
HyperT5: Towards Compute-Efficient Korean Language Modeling. ACL (industry) 2023: 412-424 - [c27]Minbeom Kim, Hwanhee Lee, Kang Min Yoo, Joonsuk Park, Hwaran Lee, Kyomin Jung:
Critic-Guided Decoding for Controlled Text Generation. ACL (Findings) 2023: 4598-4612 - [c26]Hyuhng Joon Kim, Hyunsoo Cho, Sang-Woo Lee, Junyeob Kim, Choonghyun Park, Sang-goo Lee, Kang Min Yoo, Taeuk Kim:
Universal Domain Adaptation for Robust Handling of Distributional Shifts in NLP. EMNLP (Findings) 2023: 5888-5905 - [c25]Sungdong Kim, Sanghwan Bae, Jamin Shin, Soyoung Kang, Donghyun Kwak, Kang Min Yoo, Minjoon Seo:
Aligning Large Language Models through Synthetic Feedback. EMNLP 2023: 13677-13700 - [c24]Jeonghoon Kim, Jung Hyun Lee, Sungdong Kim, Joonsuk Park, Kang Min Yoo, Se Jung Kwon, Dongsoo Lee:
Memory-Efficient Fine-Tuning of Compressed Large Language Models via sub-4-bit Integer Quantization. NeurIPS 2023 - [c23]Hyunsoo Cho, Choonghyun Park, Junyeob Kim, Hyuhng Joon Kim, Kang Min Yoo, Sang-goo Lee:
Probing Out-of-Distribution Robustness of Language Models with Parameter-Efficient Transfer Learning. *SEM@ACL 2023: 225-235 - [i28]Hyunsoo Cho, Choonghyun Park, Junyeop Kim, Hyuhng Joon Kim, Kang Min Yoo, Sang-goo Lee:
Probing Out-of-Distribution Robustness of Language Models with Parameter-Efficient Transfer Learning. CoRR abs/2301.11660 (2023) - [i27]Sungdong Kim, Sanghwan Bae, Jamin Shin, Soyoung Kang, Dong-Hyun Kwak, Kang Min Yoo, Minjoon Seo:
Aligning Large Language Models through Synthetic Feedback. CoRR abs/2305.13735 (2023) - [i26]Jeonghoon Kim, Jung Hyun Lee, Sungdong Kim, Joonsuk Park, Kang Min Yoo, Se Jung Kwon, Dongsoo Lee:
Memory-Efficient Fine-Tuning of Compressed Large Language Models via sub-4-bit Integer Quantization. CoRR abs/2305.14152 (2023) - [i25]Bruce W. Lee, Hyunsoo Cho, Kang Min Yoo:
Instruction Tuning with Human Curriculum. CoRR abs/2310.09518 (2023) - [i24]Hyuhng Joon Kim, Hyunsoo Cho, Sang-Woo Lee, Junyeob Kim, Choonghyun Park, Sang-goo Lee, Kang Min Yoo, Taeuk Kim:
Universal Domain Adaptation for Robust Handling of Distributional Shifts in NLP. CoRR abs/2310.14849 (2023) - [i23]Nohil Park, Joonsuk Park, Kang Min Yoo, Sungroh Yoon:
On the Analysis of Cross-Lingual Prompt Tuning for Decoder-based Multilingual Model. CoRR abs/2311.07820 (2023) - 2022
- [c22]John Joon Young Chung, Wooseok Kim, Kang Min Yoo, Hwaran Lee, Eytan Adar, Minsuk Chang:
TaleBrush: Visual Sketching of Story Generation with Pretrained Language Models. CHI Extended Abstracts 2022: 172:1-172:4 - [c21]John Joon Young Chung, Wooseok Kim, Kang Min Yoo, Hwaran Lee, Eytan Adar, Minsuk Chang:
TaleBrush: Sketching Stories with Generative Pretrained Language Models. CHI 2022: 209:1-209:19 - [c20]Reinald Kim Amplayo, Kang Min Yoo, Sang-Woo Lee:
Attribute Injection for Pretrained Language Models: A New Benchmark and an Efficient Method. COLING 2022: 1051-1064 - [c19]Xiaodong Gu, Zhaowei Zhang, Sang-Woo Lee, Kang Min Yoo, Jung-Woo Ha:
Continuous Decomposition of Granularity for Neural Paraphrase Generation. COLING 2022: 6369-6378 - [c18]Hyunsoo Cho, Choonghyun Park, Jaewook Kang, Kang Min Yoo, Taeuk Kim, Sang-goo Lee:
Enhancing Out-of-Distribution Detection in Natural Language Understanding via Implicit Layer Ensemble. EMNLP (Findings) 2022: 783-798 - [c17]Gangwoo Kim, Sungdong Kim, Kang Min Yoo, Jaewoo Kang:
Generating Information-Seeking Conversations from Unlabeled Documents. EMNLP 2022: 2362-2378 - [c16]Kang Min Yoo, Junyeob Kim, Hyuhng Joon Kim, Hyunsoo Cho, Hwiyeol Jo, Sang-Woo Lee, Sang-goo Lee, Taeuk Kim:
Ground-Truth Labels Matter: A Deeper Look into Input-Label Demonstrations. EMNLP 2022: 2422-2437 - [c15]Se Jung Kwon, Jeonghoon Kim, Jeongin Bae, Kang Min Yoo, Jin-Hwa Kim, Baeseong Park, Byeongwook Kim, Jung-Woo Ha, Nako Sung, Dongsoo Lee:
AlphaTuning: Quantization-Aware Parameter-Efficient Adaptation of Large-Scale Pre-Trained Language Models. EMNLP (Findings) 2022: 3288-3305 - [c14]Hwanhee Lee, Kang Min Yoo, Joonsuk Park, Hwaran Lee, Kyomin Jung:
Masked Summarization to Generate Factually Inconsistent Summaries for Improved Factual Consistency Checking. NAACL-HLT (Findings) 2022: 1019-1030 - [c13]Jin-Hwa Kim, Yunji Kim, Jiyoung Lee, Kang Min Yoo, Sang-Woo Lee:
Mutual Information Divergence: A Unified Metric for Multimodal Generative Models. NeurIPS 2022 - [i22]Hwanhee Lee, Kang Min Yoo, Joonsuk Park, Hwaran Lee, Kyomin Jung:
Masked Summarization to Generate Factually Inconsistent Summaries for Improved Factual Consistency Checking. CoRR abs/2205.02035 (2022) - [i21]Gangwoo Kim, Sungdong Kim, Kang Min Yoo, Jaewoo Kang:
Towards More Realistic Generation of Information-Seeking Conversations. CoRR abs/2205.12609 (2022) - [i20]Junyeob Kim, Hyuhng Joon Kim, Hyunsoo Cho, Hwiyeol Jo, Sang-Woo Lee, Sang-goo Lee, Kang Min Yoo, Taeuk Kim:
Ground-Truth Labels Matter: A Deeper Look into Input-Label Demonstrations. CoRR abs/2205.12685 (2022) - [i19]Jin-Hwa Kim, Yunji Kim, Jiyoung Lee, Kang Min Yoo, Sang-Woo Lee:
Mutual Information Divergence: A Unified Metric for Multimodal Generative Models. CoRR abs/2205.13445 (2022) - [i18]Hyuhng Joon Kim, Hyunsoo Cho, Junyeob Kim, Taeuk Kim, Kang Min Yoo, Sang-goo Lee:
Self-Generated In-Context Learning: Leveraging Auto-regressive Language Models as a Demonstration Generator. CoRR abs/2206.08082 (2022) - [i17]Xiaodong Gu, Zhaowei Zhang, Sang-Woo Lee, Kang Min Yoo, Jung-Woo Ha:
Continuous Decomposition of Granularity for Neural Paraphrase Generation. CoRR abs/2209.01765 (2022) - [i16]Se Jung Kwon, Jeonghoon Kim, Jeongin Bae, Kang Min Yoo, Jin-Hwa Kim, Baeseong Park, Byeongwook Kim, Jung-Woo Ha, Nako Sung, Dongsoo Lee:
AlphaTuning: Quantization-Aware Parameter-Efficient Adaptation of Large-Scale Pre-Trained Language Models. CoRR abs/2210.03858 (2022) - [i15]Hyunsoo Cho, Choonghyun Park, Jaewook Kang, Kang Min Yoo, Taeuk Kim, Sang-goo Lee:
Enhancing Out-of-Distribution Detection in Natural Language Understanding via Implicit Layer Ensemble. CoRR abs/2210.11034 (2022) - [i14]Hyunsoo Cho, Hyuhng Joon Kim, Junyeob Kim, Sang-Woo Lee, Sang-goo Lee, Kang Min Yoo, Taeuk Kim:
Prompt-Augmented Linear Probing: Scaling Beyond The Limit of Few-shot In-Context Learners. CoRR abs/2212.10873 (2022) - [i13]Minbeom Kim, Hwanhee Lee, Kang Min Yoo, Joonsuk Park, Hwaran Lee, Kyomin Jung:
Critic-Guided Decoding for Controlled Text Generation. CoRR abs/2212.10938 (2022) - 2021
- [c12]Xiaodong Gu, Kang Min Yoo, Jung-Woo Ha:
DialogBERT: Discourse-Aware Response Generation via Learning to Recover and Rank Utterances. AAAI 2021: 12911-12919 - [c11]Taeuk Kim, Kang Min Yoo, Sang-goo Lee:
Self-Guided Contrastive Learning for BERT Sentence Representations. ACL/IJCNLP (1) 2021: 2528-2540 - [c10]Kang Min Yoo, Dongju Park, Jaewook Kang, Sang-Woo Lee, Woo-Myoung Park:
GPT3Mix: Leveraging Large-scale Language Models for Text Augmentation. EMNLP (Findings) 2021: 2225-2239 - [c9]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:
What Changes Can Large-scale Language Models Bring? Intensive Study on HyperCLOVA: Billions-scale Korean Generative Pretrained Transformers. EMNLP (1) 2021: 3405-3424 - [i12]Raphael Shu, Kang Min Yoo, Jung-Woo Ha:
Reward Optimization for Neural Machine Translation with Learned Metrics. CoRR abs/2104.07541 (2021) - [i11]Kang Min Yoo, Dongju Park, Jaewook Kang, Sang-Woo Lee, Woomyeong Park:
GPT3Mix: Leveraging Large-scale Language Models for Text Augmentation. CoRR abs/2104.08826 (2021) - [i10]Taeuk Kim, Kang Min Yoo, Sang-goo Lee:
Self-Guided Contrastive Learning for BERT Sentence Representations. CoRR abs/2106.07345 (2021) - [i9]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:
What Changes Can Large-scale Language Models Bring? Intensive Study on HyperCLOVA: Billions-scale Korean Generative Pretrained Transformers. CoRR abs/2109.04650 (2021) - [i8]Reinald Kim Amplayo, Kang Min Yoo, Sang-Woo Lee:
Efficient Attribute Injection for Pretrained Language Models. CoRR abs/2109.07953 (2021) - [i7]Xiaodong Gu, Kang Min Yoo, Sang-Woo Lee:
Response Generation with Context-Aware Prompt Learning. CoRR abs/2111.02643 (2021) - 2020
- [c8]Kang Min Yoo, Hanbit Lee, Franck Dernoncourt, Trung Bui, Walter Chang, Sang-goo Lee:
Variational Hierarchical Dialog Autoencoder for Dialog State Tracking Data Augmentation. EMNLP (1) 2020: 3406-3425 - [i6]Kang Min Yoo, Hanbit Lee, Franck Dernoncourt, Trung Bui, Walter Chang, Sang-goo Lee:
Variational Hierarchical Dialog Autoencoder for Dialogue State Tracking Data Augmentation. CoRR abs/2001.08604 (2020) - [i5]Xiaodong Gu, Kang Min Yoo, Jung-Woo Ha:
DialogBERT: Discourse-Aware Response Generation via Learning to Recover and Rank Utterances. CoRR abs/2012.01775 (2020)
2010 – 2019
- 2019
- [j2]Youhyun Shin, Kang Min Yoo, Sang-goo Lee:
Utterance Generation With Variational Auto-Encoder for Slot Filling in Spoken Language Understanding. IEEE Signal Process. Lett. 26(3): 505-509 (2019) - [c7]Kang Min Yoo, Youhyun Shin, Sang-goo Lee:
Data Augmentation for Spoken Language Understanding via Joint Variational Generation. AAAI 2019: 7402-7409 - [c6]Kang Min Yoo, Taeuk Kim, Sang-goo Lee:
Don't Just Scratch the Surface: Enhancing Word Representations for Korean with Hanja. EMNLP/IJCNLP (1) 2019: 3526-3531 - [c5]Kang Min Yoo, Hyun Soo Jo, Hanbit Lee, Jeeseung Han, Sang-goo Lee:
Stochastic Relational Network. ICCV Workshops 2019: 788-792 - [c4]Hyunsoo Cho, Chaemin Ahn, Kang Min Yoo, Jinseok Seol, Sang-goo Lee:
Leveraging Class Hierarchy in Fashion Classification. ICCV Workshops 2019: 3197-3200 - [i4]Kang Min Yoo, Taeuk Kim, Sang-goo Lee:
Don't Just Scratch the Surface: Enhancing Word Representations for Korean with Hanja. CoRR abs/1908.09282 (2019) - 2018
- [j1]Seunghun Lee, Kang Min Yoo:
On a conjecture of Karasev. Comput. Geom. 75: 1-10 (2018) - [c3]Jihun Choi, Kang Min Yoo, Sang-goo Lee:
Learning to Compose Task-Specific Tree Structures. AAAI 2018: 5094-5101 - [c2]Youhyun Shin, Kang Min Yoo, Sang-goo Lee:
Slot Filling with Delexicalized Sentence Generation. INTERSPEECH 2018: 2082-2086 - [i3]Kang Min Yoo, Youhyun Shin, Sang-goo Lee:
Data Augmentation for Spoken Language Understanding via Joint Variational Generation. CoRR abs/1809.02305 (2018) - 2017
- [i2]Jihun Choi, Kang Min Yoo, Sang-goo Lee:
Unsupervised Learning of Task-Specific Tree Structures with Tree-LSTMs. CoRR abs/1707.02786 (2017) - [i1]Kang Min Yoo, Youhyun Shin, Sang-goo Lee:
Improving Visually Grounded Sentence Representations with Self-Attention. CoRR abs/1712.00609 (2017) - 2014
- [c1]Kang Min Yoo, Sungchan Park, Sang-goo Lee:
RDB2Graph: A Generic Framework for Modeling Relational Databases as Graphs. JIST (Workshops & Posters) 2014: 148-151
Coauthor Index
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