| 2026 | ACL | HarDBench: A Benchmark for Draft-Based Co-Authoring Jailbreak Attacks for Safe Human-LLM Collaborative Writing. | Euntae Kim, Soomin Han, Buru Chang |
| 2026 | ACL | Alignment Data Map for Efficient Preference Data Selection and Diagnosis. | Seohyeong Lee, Eunwon Kim, Hwaran Lee, Buru Chang |
| 2025 | AAAI | ConVis: Contrastive Decoding with Hallucination Visualization for Mitigating Hallucinations in Multimodal Large Language Models. | Yeji Park, Deokyeong Lee, Junsuk Choe, Buru Chang |
| 2025 | ACL | SHARE: Shared Memory-Aware Open-Domain Long-Term Dialogue Dataset Constructed from Movie Script. | Eunwon Kim, Chanho Park, Buru Chang |
| 2025 | CVPR | Is 'Right' Right? Enhancing Object Orientation Understanding in Multimodal Large Language Models through Egocentric Instruction Tuning. | Ji Hyeok Jung, Eun Tae Kim, Seo Yeon Kim, Joo Ho Lee, Bumsoo Kim, Buru Chang |
| 2025 | EMNLP | The RAG Paradox: A Black-Box Attack Exploiting Unintentional Vulnerabilities in Retrieval-Augmented Generation Systems. | Chanwoo Choi, Jinsoo Kim, Sukmin Cho, Soyeong Jeong, Buru Chang |
| 2025 | SIGIR | Review-driven Personalized Preference Reasoning with Large Language Models for Recommendation. | Jieyong Kim, Hyunseo Kim, Hyunjin Cho, SeongKu Kang, Buru Chang, Jinyoung Yeo, Dongha Lee |
| 2024 | ECCV | Exploiting Semantic Reconstruction to Mitigate Hallucinations in Vision-Language Models. | Minchan Kim, Minyeong Kim, Junik Bae, Suhwan Choi, Sungkyung Kim, Buru Chang |
| 2024 | ICDM | CUPID: A Real-Time Session-Based Reciprocal Recommendation System for a One-on-One Social Discovery Platform. | Beomsu Kim, Sangbum Kim, Minchan Kim, Joonyoung Yi, Sungjoo Ha, Suhyun Lee, Youngsoo Lee, Gihoon Yeom, Buru Chang, Gihun Lee |
| 2023 | ICCV | TiDAL: Learning Training Dynamics for Active Learning. | Seong Min Kye, Kwanghee Choi, Hyeongmin Byun, Buru Chang |
| 2023 | WSDM | Reliable Decision from Multiple Subtasks through Threshold Optimization: Content Moderation in the Wild. | Donghyun Son, Byounggyu Lew, Kwanghee Choi, Yongsu Baek, Seungwoo Choi, Beomjun Shin, Sungjoo Ha, Buru Chang |
| 2022 | ECCV | Learning with Noisy Labels by Efficient Transition Matrix Estimation to Combat Label Miscorrection. | Seong Min Kye, Kwanghee Choi, Joonyoung Yi, Buru Chang |
| 2022 | EMNLP | Measuring and Improving Semantic Diversity of Dialogue Generation. | Seungju Han, Beomsu Kim, Buru Chang |
| 2022 | ICASSP | Temporal Knowledge Distillation for on-device Audio Classification. | Kwanghee Choi, Martin Kersner, Jacob Morton, Buru Chang |
| 2022 | NAACL | Meet Your Favorite Character: Open-domain Chatbot Mimicking Fictional Characters with only a Few Utterances. | Seungju Han, Beomsu Kim, Jin Yong Yoo, Seokjun Seo, Sangbum Kim, Enkhbayar Erdenee, Buru Chang |
| 2021 | CVPR | Disentangling Label Distribution for Long-Tailed Visual Recognition. | Youngkyu Hong, Seungju Han, Kwanghee Choi, Seokjun Seo, Beomsu Kim, Buru Chang |
| 2021 | EACL | "Killing Me" Is Not a Spoiler: Spoiler Detection Model using Graph Neural Networks with Dependency Relation-Aware Attention Mechanism. | Buru Chang, Inggeol Lee, Hyunjae Kim, Jaewoo Kang |
| 2021 | EMNLP | Distilling the Knowledge of Large-scale Generative Models into Retrieval Models for Efficient Open-domain Conversation. | Beomsu Kim, Seokjun Seo, Seungju Han, Enkhbayar Erdenee, Buru Chang |
| 2020 | CIKM | Learning Graph-Based Geographical Latent Representation for Point-of-Interest Recommendation. | Buru Chang, Gwanghoon Jang, Seoyoon Kim, Jaewoo Kang |
| 2020 | SDM | Content-Aware Successive Point-of-Interest Recommendation. | Buru Chang, Yookyung Koh, Donghyeon Park, Jaewoo Kang |
| 2018 | IJCAI | Content-Aware Hierarchical Point-of-Interest Embedding Model for Successive POI Recommendation. | Buru Chang, Yonggyu Park, Donghyeon Park, Seongsoon Kim, Jaewoo Kang |
| 2018 | PAKDD | A Deep Neural Spoiler Detection Model Using a Genre-Aware Attention Mechanism. | Buru Chang, Hyunjae Kim, Raehyun Kim, Deahan Kim, Jaewoo Kang |