| 2025 | From Menus to the Interactive Food-Ordering Systems. | Min-Ji Kim, Seong-Jin Park, Jaehwan Ha, Ju-Won Seo, Dinara Aliyeva, Kang-Min Kim |
| 2025 | RadialFocus: Geometric Graph Transformers via Distance-Modulated Attention. | San Kim, Seungjun Lee, Sichan Oh, Jaekwang Kim |
| 2025 | From Patterns to Predictions: A Shapelet-Based Framework for Directional Forecasting in Noisy Financial Markets. | Juwon Kim, Hyunwook Lee, Hyotaek Jeon, Seungmin Jin, Sungahn Ko |
| 2025 | CR-SGCN: Unsupervised Signed Community Detection via Conductance Regularization. | Jeongseon Kim, Sungsu Lim |
| 2025 | Where Does Legal AI Fail? Evaluating RAG Pipelines. | Yongjae Kim, Wonjae Lee |
| 2025 | A Tutorial on Hypergraph Neural Networks: An In-Depth and Step-By-Step Guide. | Sunwoo Kim, Soo Yong Lee, Yue Gao, Alessia Antelmi, Mirko Polato, Kijung Shin |
| 2025 | A Self-Supervised Mixture-of-Experts Framework for Multi-behavior Recommendation. | Kyungho Kim, Sunwoo Kim, Geon Lee, Kijung Shin |
| 2025 | When User Engagement Meets Structural Cohesiveness: A Decay-Driven Approach to Hypergraph Cores. | Hyewon Kim, Minseok Kim, Dahee Kim, Junghoon Kim |
| 2025 | OASIS: Open-world Adaptive Self-supervised and Imbalanced-aware System. | Miru Kim, Mugon Joe, Minhae Kwon |
| 2025 | Towards Fully-Automated Materials Discovery via Large-Scale Synthesis Dataset and Expert-Level LLM-as-a-Judge. | Heegyu Kim, Taeyang Jeon, Seungtaek Choi, Jihoon Hong, Dongwon Jeon, Ga-Yeon Baek, Gyeong-Won Kwak, Dong-Hee Lee, Jisu Bae, Chihoon Lee, Yoon-Seo Kim, Seon-Jin Choi, Jin Seong Park, Sung Beom Cho, Hyunsouk Cho |
| 2025 | The 1 | Eunhui Kim, Caren Han, Kyungtae Lim, Yesim Selcuk, Moonki Back, Sangjun Han, Kyong-Ha Lee |
| 2025 | Jailbreaking LLMs Through Cross-Cultural Prompts. | Damin Kim, Minseok Hur, Jeongin Lee, Moohong Min |
| 2025 | Leveraging Multi-facet Paths for Heterogeneous Graph Representation Learning. | Jongwoo Kim, SeongYeub Chu, Hyeongmin Park, Bryan Wong, Keejun Han, Mun Yong Yi |
| 2025 | Upcycling Candidate Tokens of Large Language Models for Query Expansion. | Jinseok Kim, Sukmin Cho, Soyeong Jeong, Sangyeop Kim, Sungzoon Cho |
| 2025 | Online Activation Value-aware Clustering and Aggregation for Faithful Argumentative Explanations. | Ungsik Kim, Jiho Bae, Sang-Min Choi, Suwon Lee |
| 2025 | Datasets for Supervised Adversarial Attacks on Neural Rankers. | Amir Khosrojerdi, Amin Bigdeli, Radin Hamidi Rad, Morteza Zihayat, Charles L. A. Clarke, Ebrahim Bagheri |
| 2025 | Reasoning over Incomplete Knowledge Graphs. | Ola El Khatib |
| 2025 | Multi-Ontology Integration with Dual-Axis Propagation for Medical Concept Representation. | Mohsen Nayebi Kerdabadi, Arya Hadizadeh Moghaddam, Dongjie Wang, Zijun Yao |
| 2025 | CausalBench-ER: Causally-Informed Explanations and Recommendations for Reproducible Benchmarking. | Ahmet Kapki, Pratanu Mandal, Abhinav Gorantla, Shu Wan, Ertugrul oban, Paras Sheth, Huan Liu, K. Seluk Candan |
| 2025 | Curriculum Guided Personalized Subgraph Federated Learning. | Minku Kang, Hogun Park |
| 2025 | Sarcasm Subtype-Specific Reasoning in Dialogue with Multimodal Cues Using Large Language Models. | Choongwon Kang, Wonbyung Lee, Seunghyun Hwang, Sunho Tae, Seungjong Sun, Jang-Hyun Kim |
| 2025 | When Language Shapes Thought: Cross-Lingual Transfer of Factual Knowledge in Question Answering. | Eojin Kang, Juae Kim |
| 2025 | Causal Effect Variational Transformer for Public Health Measures and COVID-19 Infection Cluster Analysis. | Jinho Kang, Sungjun Lim, Hojun Park, Jiyoung Jung, Jaehun Jung, Kyungwoo Song |
| 2025 | Efficiency Boost in Decentralized Optimization: Reimagining Neighborhood Aggregation with Minimal Overhead. | Durgesh Kalwar, Mayank Baranwal, Harshad Khadilkar |
| 2025 | Towards Equitable Coreset Selection: Addressing Challenges Under Class Imbalance. | Liyana Sahir Kallooriyakath, Anugu Namratha Reddy, B. Srinath Achary, Ashutosh Sharma, Krisha Shah, Sonia Gupta, Siddhartha Asthana |