Evolutionary hypernetwork models for aptamer-based cardiovascular disease diagnosis. - JungWoo Ha 001; Jae-Hong Eom; Sung-Chun Kim; Byoung-Tak Zhang (GECCO (Companion), 2007)

Gender classification with cortical thickness measurement from magnetic resonance imaging by using a feature selection method based on evolutionary hypernetworks. - JungWoo Ha 001; Joon Hwan Jang; Do-Hyung Kang; Wi Hoon Jung; Jun Soo Kwon; Byoung-Tak Zhang (FUZZ-IEEE, 2009)

Evolutionary layered hypernetworks for identifying microRNA-mRNA regulatory modules. - Soo-Jin Kim; JungWoo Ha 001; Bado Lee; Byoung-Tak Zhang (IEEE Congress on Evolutionary Computation, 2010)

Layered Hypernetwork Models for Cross-Modal Associative Text and Image Keyword Generation in Multimodal Information Retrieval. - JungWoo Ha 001; Byoung-Hee Kim; Bado Lee; Byoung-Tak Zhang (PRICAI, 2010)

Mutual information-based evolution of hypernetworks for brain data analysis. - Eun-Sol Kim; JungWoo Ha 001; Wi Hoon Jung; Joon Hwan Jang; Jun Soo Kwon; Byoung-Tak Zhang (IEEE Congress on Evolutionary Computation, 2011)

Sparse Population Code Models of Word Learning in Concept Drift. - Byoung-Tak Zhang; JungWoo Ha 001; Myunggu Kang (CogSci, 2012)

Text-to-image retrieval based on incremental association via multimodal hypernetworks. - JungWoo Ha 001; Beom-Jin Lee; Byoung-Tak Zhang (SMC, 2012)

Evolutionary concept learning from cartoon videos by multimodal hypernetworks. - Beom-Jin Lee; JungWoo Ha 001; Kyung-Min Kim; Byoung-Tak Zhang (IEEE Congress on Evolutionary Computation, 2013)

Constructing higher-order miRNA-mRNA interaction networks in prostate cancer via hypergraph-based learning. - Soo-Jin Kim; JungWoo Ha 001; Byoung-Tak Zhang (BMC Syst. Biol., 2013)

Bayesian evolutionary hypergraph learning for predicting cancer clinical outcomes. - Soo-Jin Kim; JungWoo Ha 001; Byoung-Tak Zhang (J. Biomed. Informatics, 2014)

Automated Construction of Visual-Linguistic Knowledge via Concept Learning from Cartoon Videos. - JungWoo Ha 001; Kyung-Min Kim; Byoung-Tak Zhang (AAAI, 2015)

Pororobot: A Deep Learning Robot That Plays Video Q&A Games. - Kyung-Min Kim; Chang-Jun Nan; Jung-Woo Ha 001; Yu-Jung Heo; Byoung-Tak Zhang (AAAI Fall Symposia, 2015)

News2Images: Automatically Summarizing News Articles into Image-Based Contents via Deep Learning. - Jung-Woo Ha 001; Dongyeop Kang; Hyuna Pyo; Jeonghee Kim (INRA@RecSys, 2015)

Large-Scale Item Categorization in e-Commerce Using Multiple Recurrent Neural Networks. - JungWoo Ha 001; Hyuna Pyo; Jeonghee Kim (KDD, 2016)

Multimodal Residual Learning for Visual QA. - Jin-Hwa Kim; Sang-Woo Lee 001; Dong-Hyun Kwak; Min-Oh Heo; Jeonghee Kim; JungWoo Ha 001; Byoung-Tak Zhang (NIPS, 2016)

Predicting high-risk prognosis from diagnostic histories of adult disease patients via deep recurrent neural networks. - Jung-Woo Ha 001; Adrian Kim; Dongwon Kim; Jeonghee Kim; Jeong-Whun Kim; Jin Joo Park; Borim Ryu (BigComp, 2017)

Dual Attention Networks for Multimodal Reasoning and Matching. - Hyeonseob Nam; Jung-Woo Ha 001; Jeonghee Kim (CVPR, 2017)

Hadamard Product for Low-rank Bilinear Pooling. - Jin-Hwa Kim; Kyoung Woon On; Woosang Lim; Jeonghee Kim; Jung-Woo Ha 001; Byoung-Tak Zhang (ICLR (Poster), 2017)

Overcoming Catastrophic Forgetting by Incremental Moment Matching. - Sang-Woo Lee 001; Jin-Hwa Kim; Jaehyun Jun; Jung-Woo Ha 001; Byoung-Tak Zhang (NIPS, 2017)

Overcoming Catastrophic Forgetting by Incremental Moment Matching. - Sang-Woo Lee 001; Jin-Hwa Kim; JungWoo Ha 001; Byoung-Tak Zhang (CoRR, 2017)

Highrisk Prediction from Electronic Medical Records via Deep Attention Networks. - You Jin Kim; Yun-Geun Lee; Jeong-Whun Kim; Jin Joo Park; Borim Ryu; Jung-Woo Ha 001 (CoRR, 2017)

Automatic Music Highlight Extraction using Convolutional Recurrent Attention Networks. - Jung-Woo Ha 001; Adrian Kim; Chanju Kim; Jangyeon Park; Sunghun Kim 001 (CoRR, 2017)

NSML: A Machine Learning Platform That Enables You to Focus on Your Models. - Nako Sung; Minkyu Kim; Hyunwoo Jo; Youngil Yang; Jingwoong Kim; Leonard Lausen; Youngkwan Kim; Gayoung Lee; Dong-Hyun Kwak; Jung-Woo Ha 001; Sunghun Kim 001 (CoRR, 2017)

Dual-memory neural networks for modeling cognitive activities of humans via wearable sensors. - Sang-Woo Lee 001; Chung-yeon Lee; Dong-Hyun Kwak; Jung-Woo Ha 001; Jeonghee Kim; Byoung-Tak Zhang (Neural Networks, 2017)

Interpretable Prediction of Vascular Diseases from Electronic Health Records via Deep Attention Networks. - Seunghyun Park 001; You Jin Kim; Jeong-Whun Kim; Jin Joo Park; Borim Ryu; Jung-Woo Ha 001 (BIBE, 2018)

StarGAN: Unified Generative Adversarial Networks for Multi-Domain Image-to-Image Translation. - Yunjey Choi; Minje Choi; Munyoung Kim; Jung-Woo Ha 001; Sunghun Kim 001; Jaegul Choo (CVPR, 2018)

CHOPT : Automated Hyperparameter Optimization Framework for Cloud-Based Machine Learning Platforms. - Jingwoong Kim; Minkyu Kim; Heungseok Park; Ernar Kusdavletov; Dongjun Lee; Adrian Kim; Ji-Hoon Kim; Jung-Woo Ha 001; Nako Sung (CoRR, 2018)

NSML: Meet the MLaaS platform with a real-world case study. - Hanjoo Kim; Minkyu Kim; Dongjoo Seo; Jinwoong Kim; Heungseok Park; Soeun Park; Hyunwoo Jo; KyungHyun Kim; Youngil Yang; Youngkwan Kim; Nako Sung; Jung-Woo Ha 001 (CoRR, 2018)

Multi-Domain Processing via Hybrid Denoising Networks for Speech Enhancement. - Jang-Hyun Kim; Jaejun Yoo 001; Sanghyuk Chun; Adrian Kim; Jung-Woo Ha 001 (CoRR, 2018)

Paraphrase Diversification Using Counterfactual Debiasing. - Sunghyun Park 005; Seung-won Hwang; Fuxiang Chen; Jaegul Choo; Jung-Woo Ha 001; Sunghun Kim 001; Jinyeong Yim (AAAI, 2019)

NL2pSQL: Generating Pseudo-SQL Queries from Under-Specified Natural Language Questions. - Fuxiang Chen; Seung-won Hwang; Jaegul Choo; Jung-Woo Ha 001; Sunghun Kim 001 (EMNLP/IJCNLP (1), 2019)

Photorealistic Style Transfer via Wavelet Transforms. - Jaejun Yoo 001; Youngjung Uh; Sanghyuk Chun; Byeongkyu Kang; Jung-Woo Ha 001 (ICCV, 2019)

Phase-Aware Speech Enhancement with Deep Complex U-Net. - Hyeong-Seok Choi; Jang-Hyun Kim; Jaesung Huh; Adrian Kim; Jung-Woo Ha 001; Kyogu Lee (ICLR (Poster), 2019)

DialogWAE: Multimodal Response Generation with Conditional Wasserstein Auto-Encoder. - Xiaodong Gu 002; Kyunghyun Cho; Jung-Woo Ha 001; Sunghun Kim 001 (ICLR (Poster), 2019)

Large-Scale Answerer in Questioner's Mind for Visual Dialog Question Generation. - Sang-Woo Lee 001; Tong Gao; Sohee Yang; Jaejun Yoo 001; Jung-Woo Ha 001 (ICLR (Poster), 2019)

Tripartite Heterogeneous Graph Propagation for Large-scale Social Recommendation. - Kyung-Min Kim; Dong-Hyun Kwak; Hanock Kwak; Young-Jin Park; Sangkwon Sim; Jae-Han Cho; Minkyu Kim; Jihun Kwon; Nako Sung; Jung-Woo Ha 001 (RecSys (Late-Breaking Results), 2019)

Unpaired Sketch-to-Line Translation via Synthesis of Sketches. - Gayoung Lee; Dohyun Kim 001; Youngjoon Yoo; Dongyoon Han; Jung-Woo Ha 001; Jaehyuk Chang (SIGGRAPH Asia Technical Briefs, 2019)

Bayesian evolutionary hypernetworks for interpretable learning from high-dimensional data. - Soo-Jin Kim; Jung-Woo Ha 001; Heebal Kim; Byoung-Tak Zhang (Appl. Soft Comput., 2019)

Which Ads to Show? Advertisement Image Assessment with Auxiliary Information via Multi-step Modality Fusion. - Kyung-Wha Park; Junghoon Lee; Sunyoung Kwon; Jung-Woo Ha 001; Kyung-Min Kim; Byoung-Tak Zhang (CoRR, 2019)

Neural Approximation of an Auto-Regressive Process through Confidence Guided Sampling. - Young Joon Yoo; Sanghyuk Chun; Sangdoo Yun; Jung-Woo Ha 001; Jaejun Yoo 001 (CoRR, 2019)

Understanding Differences between Heavy Users and Light Users in Difficulties with Voice User Interfaces. - Hyunhoon Jung; Hyeji Kim; Jung-Woo Ha 001 (CIU, 2020)

StarGAN v2: Diverse Image Synthesis for Multiple Domains. - Yunjey Choi; Youngjung Uh; Jaejun Yoo 001; Jung-Woo Ha 001 (CVPR, 2020)

Context-Aware Answer Extraction in Question Answering. - Yeon Seonwoo; Ji-Hoon Kim; Jung-Woo Ha 001; Alice Oh (EMNLP (1), 2020)

ClovaCall: Korean Goal-Oriented Dialog Speech Corpus for Automatic Speech Recognition of Contact Centers. - Jung-Woo Ha 001; Kihyun Nam; Jingu Kang; Sang-Woo Lee 001; Sohee Yang; Hyunhoon Jung; Hyeji Kim; Eunmi Kim; Soojin Kim; Hyun Ah Kim; Kyoungtae Doh; Chan Kyu Lee; et al. (INTERSPEECH, 2020)

Self-supervised Auxiliary Learning with Meta-paths for Heterogeneous Graphs. - Dasol Hwang; Jinyoung Park; Sunyoung Kwon; Kyung-Min Kim; Jung-Woo Ha 001; Hyunwoo J. Kim (NeurIPS, 2020)

Filter Pruning and Re-Initialization via Latent Space Clustering. - Seunghyun Lee 001; Byeongho Heo; Jung-Woo Ha 001; Byung Cheol Song (IEEE Access, 2020)

ClovaCall: Korean Goal-Oriented Dialog Speech Corpus for Automatic Speech Recognition of Contact Centers. - Jung-Woo Ha 001; Kihyun Nam; Jin-Gu Kang; Sang-Woo Lee 001; Sohee Yang; Hyunhoon Jung; Eunmi Kim; Hyeji Kim; Soojin Kim; Hyun Ah Kim; Kyoungtae Doh; Chan Kyu Lee; et al. (CoRR, 2020)

Graphs, Entities, and Step Mixture. - Kyuyong Shin; Wonyoung Shin; Jung-Woo Ha 001; Sunyoung Kwon (CoRR, 2020)

Slowing Down the Weight Norm Increase in Momentum-based Optimizers. - Byeongho Heo; Sanghyuk Chun; Seong Joon Oh; Dongyoon Han; Sangdoo Yun; Youngjung Uh; Jung-Woo Ha 001 (CoRR, 2020)

Efficient Active Learning for Automatic Speech Recognition via Augmented Consistency Regularization. - Jihwan Bang; Heesu Kim; Youngjoon Yoo; Jung-Woo Ha 001 (CoRR, 2020)

CareCall: a Call-Based Active Monitoring Dialog Agent for Managing COVID-19 Pandemic. - Sang-Woo Lee 001; Hyunhoon Jung; SukHyun Ko; Sunyoung Kim; Hyewon Kim; Kyoungtae Doh; Hyunjung Park; Joseph Yeo; Sang-Houn Ok; Joonhaeng Lee; Seongjae Choi; SeungTae Hwang; et al. (CoRR, 2020)

Which Strategies Matter for Noisy Label Classification? Insight into Loss and Uncertainty. - Wonyoung Shin; Jung-Woo Ha 001; Shengzhe Li; Yongwoo Cho 003; Hoyean Song; Sunyoung Kwon (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)

Weakly Supervised Pre-Training for Multi-Hop Retriever. - Yeon Seonwoo; Sang-Woo Lee 001; Ji-Hoon Kim; Jung-Woo Ha 001; Alice Oh (ACL/IJCNLP (Findings), 2021)

Rainbow Memory: Continual Learning With a Memory of Diverse Samples. - Jihwan Bang; Heesu Kim; Youngjoon Yoo; Jung-Woo Ha 001; Jonghyun Choi (CVPR, 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)

St-Bert: Cross-Modal Language Model Pre-Training for End-to-End Spoken Language Understanding. - Minjeong Kim; Gyuwan Kim; Sang-Woo Lee 001; Jung-Woo Ha 001 (ICASSP, 2021)

AdamP: Slowing Down the Slowdown for Momentum Optimizers on Scale-invariant Weights. - Byeongho Heo; Sanghyuk Chun; Seong Joon Oh; Dongyoon Han; Sangdoo Yun; Gyuwan Kim; Youngjung Uh; Jung-Woo Ha 001 (ICLR, 2021)

Metropolis-Hastings Data Augmentation for Graph Neural Networks. - Hyeon-Jin Park; Seunghun Lee 001; Sihyeon Kim; Jinyoung Park; Jisu Jeong; Kyung-Min Kim; Jung-Woo Ha 001; Hyunwoo J. Kim (NeurIPS, 2021)

KLUE: Korean Language Understanding Evaluation. - Sungjoon Park; Jihyung Moon; Sungdong Kim; Won-Ik Cho; Jiyoon Han; Jangwon Park; Chisung Song; Junseong Kim; Youngsook Song; Tae Hwan Oh; Joohong Lee; Juhyun Oh; et al. (NeurIPS Datasets and Benchmarks, 2021)

Learning Augmentation for GNNs With Consistency Regularization. - Hyeon-Jin Park; Seunghun Lee 001; Dasol Hwang; Jisu Jeong; Kyung-Min Kim; Jung-Woo Ha 001; Hyunwoo J. Kim (IEEE Access, 2021)

Graphs, Entities, and Step Mixture for Enriching Graph Representation. - Kyuyong Shin; Wonyoung Shin; Jung-Woo Ha 001; Sunyoung Kwon (IEEE Access, 2021)

M2FN: Multi-step modality fusion for advertisement image assessment. - Kyung-Wha Park; Jung-Woo Ha 001; Junghoon Lee; Sunyoung Kwon; Kyung-Min Kim; Byoung-Tak Zhang (Appl. Soft Comput., 2021)

Self-supervised Auxiliary Learning for Graph Neural Networks via Meta-Learning. - Dasol Hwang; Jinyoung Park; Sunyoung Kwon; Kyung-Min Kim; Jung-Woo Ha 001; Hyunwoo J. Kim (CoRR, 2021)

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

KLUE: Korean Language Understanding Evaluation. - Sungjoon Park; Jihyung Moon; Sungdong Kim; Won-Ik Cho; Jiyoon Han; Jangwon Park; Chisung Song; Junseong Kim; Yongsook Song; Tae Hwan Oh; Joohong Lee; Juhyun Oh; et al. (CoRR, 2021)

Region-based dropout with attention prior for weakly supervised object localization. - Junsuk Choe; Dongyoon Han; Sangdoo Yun; Jung-Woo Ha 001; Seong Joon Oh; Hyunjung Shim (Pattern Recognit., 2021)

Two-Step Question Retrieval for Open-Domain QA. - Yeon Seonwoo; Juhee Son; Jiho Jin; Sang-Woo Lee 001; Ji-Hoon Kim; Jung-Woo Ha 001; Alice Oh (ACL (Findings), 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)

Online Continual Learning on a Contaminated Data Stream with Blurry Task Boundaries. - Jihwan Bang; Hyunseo Koh; Seulki Park; Hwanjun Song; Jung-Woo Ha 001; Jonghyun Choi (CVPR, 2022)

Generator Knows What Discriminator Should Learn in Unconditional GANs. - Gayoung Lee; Hyunsu Kim; Junho Kim; Seonghyeon Kim; Jung-Woo Ha 001; Yunjey Choi (ECCV (17), 2022)

K-centered Patch Sampling for Efficient Video Recognition. - Seong Hyeon Park; Jihoon Tack; Byeongho Heo; Jung-Woo Ha 001; Jinwoo Shin (ECCV (35), 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)

Contrastive Fine-grained Class Clustering via Generative Adversarial Networks. - Yunji Kim; Jung-Woo Ha 001 (ICLR, 2022)

Online Continual Learning on Class Incremental Blurry Task Configuration with Anytime Inference. - Hyunseo Koh; Dahyun Kim 001; Jung-Woo Ha 001; Jonghyun Choi (ICLR, 2022)

Generating Videos with Dynamics-aware Implicit Generative Adversarial Networks. - Sihyun Yu; Jihoon Tack; Sangwoo Mo; Hyunsu Kim; Junho Kim; Jung-Woo Ha 001; Jinwoo Shin (ICLR, 2022)

Dataset Condensation via Efficient Synthetic-Data Parameterization. - Jang-Hyun Kim; Jinuk Kim; Seong Joon Oh; Sangdoo Yun; Hwanjun Song; Joonhyun Jeong; Jung-Woo Ha 001; Hyun Oh Song (ICML, 2022)

Time Is MattEr: Temporal Self-supervision for Video Transformers. - Sukmin Yun; Jaehyung Kim 001; Dongyoon Han; Hwanjun Song; Jung-Woo Ha 001; Jinwoo Shin (ICML, 2022)

On the Effect of Pretraining Corpora on In-context Learning by a Large-scale Language Model. - Seongjin Shin; Sang-Woo Lee 001; Hwijeen Ahn; Sungdong Kim; HyoungSeok Kim; Boseop Kim; Kyunghyun Cho; Gichang Lee; Woo-Myoung Park; Jung-Woo Ha 001; Nako Sung (NAACL-HLT, 2022)

On Divergence Measures for Bayesian Pseudocoresets. - Balhae Kim; Jungwon Choi; Seanie Lee; Yoonho Lee 001; Jung-Woo Ha 001; Juho Lee 001 (NeurIPS, 2022)

Two-Step Question Retrieval for Open-Domain QA. - Yeon Seonwoo; Juhee Son; Jiho Jin; Sang-Woo Lee 001; Ji-Hoon Kim 002; Jung-Woo Ha 001; Alice Oh (CoRR, 2022)

Pivotal Role of Language Modeling in Recommender Systems: Enriching Task-specific and Task-agnostic Representation Learning. - Kyuyong Shin; Hanock Kwak; Wonjae Kim; Jisu Jeong; Seungjae Jung; Kyung-Min Kim; Jung-Woo Ha 001; Sang-Woo Lee 001 (CoRR, 2022)

Scaling Law for Recommendation Models: Towards General-Purpose User Representations. - Kyuyong Shin; Hanock Kwak; Su Young Kim; Max Nihlén Ramström; Jisu Jeong; Jung-Woo Ha 001; Kyung-Min Kim (AAAI, 2023)

SQuARe: A Large-Scale Dataset of Sensitive Questions and Acceptable Responses Created through Human-Machine Collaboration. - Hwaran Lee; Seokhee Hong 002; Joonsuk Park; Takyoung Kim; Meeyoung Cha; Yejin Choi 001; Byoung Pil Kim; Gunhee Kim; Eun-Ju Lee 001; Yong Lim; Alice Oh; Sangchul Park; et al. (ACL (1), 2023)

KoSBI: A Dataset for Mitigating Social Bias Risks Towards Safer Large Language Model Applications. - Hwaran Lee; Seokhee Hong 002; Joonsuk Park; Takyoung Kim; Gunhee Kim; Jung-Woo Ha 001 (ACL (industry), 2023)

Query-Efficient Black-Box Red Teaming via Bayesian Optimization. - Deokjae Lee; JunYeong Lee; Jung-Woo Ha 001; Jin-Hwa Kim; Sang-Woo Lee 001; Hwaran Lee; Hyun Oh Song (ACL (1), 2023)

Pivotal Role of Language Modeling in Recommender Systems: Enriching Task-specific and Task-agnostic Representation Learning. - Kyuyong Shin; Hanock Kwak; Wonjae Kim; Jisu Jeong; Seungjae Jung; Kyungmin Kim; Jung-Woo Ha 001; Sang-Woo Lee 001 (ACL (1), 2023)

Dense Text-to-Image Generation with Attention Modulation. - Yunji Kim; Jiyoung Lee; Jin-Hwa Kim; Jung-Woo Ha 001; Jun-Yan Zhu (ICCV, 2023)

Text-Conditioned Sampling Framework for Text-to-Image Generation with Masked Generative Models. - Jaewoong Lee; Sangwon Jang; Jaehyeong Jo; Jaehong Yoon; Yunji Kim; Jin-Hwa Kim; Jung-Woo Ha 001; Sung Ju Hwang (ICCV, 2023)

Rarity Score : A New Metric to Evaluate the Uncommonness of Synthesized Images. - Jiyeon Han; Hwanil Choi; Yunjey Choi; Junho Kim; Jung-Woo Ha 001; Jaesik Choi (ICLR, 2023)

Online Boundary-Free Continual Learning by Scheduled Data Prior. - Hyunseo Koh; Minhyuk Seo; Jihwan Bang; Hwanjun Song; Deokki Hong; Seulki Park; Jung-Woo Ha 001; Jonghyun Choi (ICLR, 2023)

Self-Supervised Set Representation Learning for Unsupervised Meta-Learning. - Dong Bok Lee; Seanie Lee; Kenji Kawaguchi; Yunji Kim; Jihwan Bang; Jung-Woo Ha 001; Sung Ju Hwang (ICLR, 2023)

Switching Temporary Teachers for Semi-Supervised Semantic Segmentation. - Jaemin Na; Jung-Woo Ha 001; Hyung Jin Chang; Dongyoon Han; Wonjun Hwang (NeurIPS, 2023)

KoSBi: A Dataset for Mitigating Social Bias Risks Towards Safer Large Language Model Application. - Hwaran Lee; Seokhee Hong 002; Joonsuk Park; Takyoung Kim; Gunhee Kim; Jung-Woo Ha 001 (CoRR, 2023)

Entropy regularization for weakly supervised object localization. - Dongjun Hwang; Jung-Woo Ha 001; Hyunjung Shim; Junsuk Choe (Pattern Recognit. Lett., 2023)

SuRe: Summarizing Retrievals using Answer Candidates for Open-domain QA of LLMs. - Jaehyung Kim 001; Jaehyun Nam; Sangwoo Mo; Jongjin Park; Sang-Woo Lee 001; Minjoon Seo; Jung-Woo Ha 001; Jinwoo Shin (ICLR, 2024)

Hierarchical Context Merging: Better Long Context Understanding for Pre-trained LLMs. - Woomin Song; Seunghyuk Oh; Sangwoo Mo; Jaehyung Kim 001; Sukmin Yun; Jung-Woo Ha 001; Jinwoo Shin (ICLR, 2024)

Deformable Graph Transformer. - Jinyoung Park; Seongjun Yun; Hyeon-Jin Park; Jaewoo Kang; Jisu Jeong; Kyung-Min Kim; Jung-Woo Ha 001; Hyunwoo J. Kim (IEEE Trans. Pattern Anal. Mach. Intell., 2025)