| 2023 | You're Not Alone in Battle: Combat Threat Analysis Using Attention Networks and a New Open Benchmark. | Soo Yong Lee, Juwon Kim, Kiwoong Park, Dong Kuk Ryu, Sang Heun Shim, Kijung Shin |
| 2023 | MvFS: Multi-view Feature Selection for Recommender System. | Youngjune Lee, Yeongjong Jeong, Keunchan Park, SeongKu Kang |
| 2023 | ST-RAP: A Spatio-Temporal Framework for Real Estate Appraisal. | Hojoon Lee, Hawon Jeong, Byungkun Lee, Kyungyup Daniel Lee, Jaegul Choo |
| 2023 | PGB: A PubMed Graph Benchmark for Heterogeneous Network Representation Learning. | Eric Wonhee Lee, Joyce C. Ho |
| 2023 | The Price is Right: Removing A/B Test Bias in a Marketplace of Expirable Goods. | Thu Le, Alex Deng |
| 2023 | Towards Filling the Gap in Conversational Search: From Passage Retrieval to Conversational Response Generation. | Weronika Lajewska, Krisztian Balog |
| 2023 | Tackling Diverse Minorities in Imbalanced Classification. | Kwei-Herng Lai, Daochen Zha, Huiyuan Chen, Mangesh Bendre, Yuzhong Chen, Mahashweta Das, Hao Yang, Xia Hu |
| 2023 | Learning the Co-evolution Process on Live Stream Platforms with Dual Self-attention for Next-topic Recommendations. | Hsu-Chao Lai, Philip S. Yu, Jiun-Long Huang |
| 2023 | VFedAD: A Defense Method Based on the Information Mechanism Behind the Vertical Federated Data Poisoning Attack. | Jinrong Lai, Tong Wang, Chuan Chen, Yihao Li, Zibin Zheng |
| 2023 | A Re-evaluation of Deep Learning Methods for Attributed Graph Clustering. | Xinying Lai, Dingming Wu, Christian S. Jensen, Kezhong Lu |
| 2023 | Addressing Selection Bias in Computerized Adaptive Testing: A User-Wise Aggregate Influence Function Approach. | Soonwoo Kwon, Sojung Kim, Seunghyun Lee, Jin-Young Kim, Suyeong An, Kyuseok Kim |
| 2023 | Non-Compliant Bandits. | Branislav Kveton, Yi Liu, Johan Matteo Kruijssen, Yisu Nie |
| 2023 | CRUISE-Screening: Living Literature Reviews Toolbox. | Wojciech Kusa, Petr Knoth, Allan Hanbury |
| 2023 | Prompting Strategies for Citation Classification. | Suchetha N. Kunnath, David Pride, Petr Knoth |
| 2023 | Unsupervised Multi-Modal Representation Learning for High Quality Retrieval of Similar Products at E-commerce Scale. | Kushal Kumar, Tarik Arici, Tal Neiman, Jinyu Yang, Shioulin Sam, Yi Xu, Hakan Ferhatosmanoglu, Ismail B. Tutar |
| 2023 | Practical Lessons Learned From Detecting, Preventing and Mitigating Harmful Experiences on Facebook. | Prathyusha Senthil Kumar |
| 2023 | Generating Product Insights from Community Q&A. | Lital Kuchy, Ran Levy, Avihai Mejer, Noam Segev, Shunit Agmon, Miriam Farber |
| 2023 | A Model-Agnostic Method to Interpret Link Prediction Evaluation of Knowledge Graph Embeddings. | Narayanan Asuri Krishnan, Carlos R. Rivero |
| 2023 | Modeling Sequential Collaborative User Behaviors For Seller-Aware Next Basket Recommendation. | Ziyi Kou, Saurav Manchanda, Shih-Ting Lin, Min Xie, Haixun Wang, Xiangliang Zhang |
| 2023 | LARCH: Large Language Model-based Automatic Readme Creation with Heuristics. | Yuta Koreeda, Terufumi Morishita, Osamu Imaichi, Yasuhiro Sogawa |
| 2023 | AmpliBias: Mitigating Dataset Bias through Bias Amplification in Few-shot Learning for Generative Models. | Donggeun Ko, Dongjun Lee, Namjun Park, Kyoungrae Noh, Hyeonjin Park, Jaekwang Kim |
| 2023 | Diffusion Variational Autoencoder for Tackling Stochasticity in Multi-Step Regression Stock Price Prediction. | Kelvin J. L. Koa, Yunshan Ma, Ritchie Ng, Tat-Seng Chua |
| 2023 | Meta-Learning with Adaptive Weighted Loss for Imbalanced Cold-Start Recommendation. | Minchang Kim, Yongjin Yang, Jung Hyun Ryu, Taesup Kim |
| 2023 | S-Mixup: Structural Mixup for Graph Neural Networks. | Junghurn Kim, Sukwon Yun, Chanyoung Park |
| 2023 | Climate Intervention Analysis using AI Model Guided by Statistical Physics Principles. | Soo Kyung Kim, Kalai Ramea, Salva Rhling Cachay, Haruki Hirasawa, Subhashis Hazarika, Dipti Hingmire, Peetak Mitra, Philip J. Rasch, Hansi A. Singh |