| 2025 | Revisiting Pre-processing Group Fairness: A Modular Benchmarking Framework. | Brodie Oldfield, Ziqi Xu, Sevvandi Kandanaarachchi |
| 2025 | S2Cap: A Benchmark and a Baseline for Singing Style Captioning. | Hyunjong Ok, Jaeho Lee |
| 2025 | FairSplit: Mitigating Bias in Graph Neural Networks through Sensitivity-based Edge Partitioning. | Indranil Ojha, Kushal Bose, Swagatam Das |
| 2025 | TANDEM: Temporal Attention-guided Neural Differential Equations for Missingness in Time Series Classification. | Yongkyung Oh, Dongyoung Lim, Sungil Kim, Alex A. T. Bui |
| 2025 | Neural Differential Equations for Continuous-Time Analysis. | Yongkyung Oh, Dongyoung Lim, Sungil Kim |
| 2025 | Modeling Irregular Astronomical Time Series with Neural Stochastic Delay Differential Equations. | Yongkyung Oh, Seungsu Kam, Dongyoung Lim, Sungil Kim |
| 2025 | POLAR: Policy Optimization for Literature Analysis under Review Constraints. | Giorgio Maria Di Nunzio |
| 2025 | Uncovering the Persuasive Fingerprint of LLMs in Jailbreaking Attacks. | Havva Alizadeh Noughabi, Julien Serbanescu, Fattane Zarrinkalam, Ali Dehghantanha |
| 2025 | Externalizing Social-Cognitive Structures for User Modeling: Toward Theory-Driven Profiling with LLMs. | Taehyung Noh, Seungwan Jin, Haein Yeo, Kyungsik Han |
| 2025 | Solar Forecasting with Causality: A Graph-Transformer Approach to Spatiotemporal Dependencies. | Yanan Niu, Demetri Psaltis, Christophe Moser, Luisa Lambertini |
| 2025 | Addressing Personalized Bias for Unbiased Learning to Rank. | Zechun Niu, Lang Mei, Liu Yang, Ziyuan Zhao, Qiang Yan, Jiaxin Mao, Ji-Rong Wen |
| 2025 | PriviRec: Confidential and Decentralized Graph Filtering for Recommender Systems. | Julien Nicolas, Csar Sabater, Mohamed Maouche, Mark Coates, Sonia Ben Mokhtar |
| 2025 | A Content-Driven Micro-Video Recommendation Dataset at Scale. | Yongxin Ni, Yu Cheng, Xiangyan Liu, Junchen Fu, Youhua Li, Xiangnan He, Yongfeng Zhang, Fajie Yuan |
| 2025 | Multi-modal Adaptive Mixture of Experts for Cold-start Recommendation. | Van-Khang Nguyen, Duc-Hoang Pham, Huy-Son Nguyen, Cam-Van Thi Nguyen, Hoang-Quynh Le, Duc-Trong Le |
| 2025 | GraFS: An Integrated GNN-LLM Approach for Inferring Best Functional Substitute Products. | Favour Nerrise, Edward W. Huang, Xiaonan Ji, Karthik Subbian, Danai Koutra |
| 2025 | Bayesian Privacy Guarantee for User History in Sequential Recommendation Using Randomised Response. | Wenchuan Mu, Kwan Hui Lim |
| 2025 | Get Global Guarantees: On the Probabilistic Nature of Perturbation Robustness. | Wenchuan Mu, Kwan Hui Lim |
| 2025 | Latent Variable Modeling for Robust Causal Effect Estimation. | Tetsuro Morimura, Tatsushi Oka, Yugo Suzuki, Daisuke Moriwaki |
| 2025 | Improving Text Embedding Models with Positive-aware Hard-negative Mining. | Gabriel de Souza Pereira Moreira, Radek Osmulski, Mengyao Xu, Ronay Ak, Benedikt Schifferer, Even Oldridge |
| 2025 | Learning Optimal Personalised Reservation Prices in Impression Ad Auctions with Mixture Density Networks. | Dmitrii Moor, Emma Zetterdahl, Paul van Vliet, Zhenwen Dai, Mounia Lalmas |
| 2025 | LLM-Enhanced Linear Autoencoders for Recommendation. | Jaewan Moon, Seongmin Park, Jongwuk Lee |
| 2025 | Multimodal Banking Dataset: Understanding Client Needs through Event Sequences. | Dzhambulat Mollaev, Ivan Kireev, Mikhail Orlov, Alexander Kostin, Ivan Karpukhin, Maria Postnova, Gleb Gusev, Andrey V. Savchenko |
| 2025 | Towards Adaptive Personalized Conversational Information Retrieval. | Fengran Mo, Yuchen Hui, Yuxing Tian, Zhaoxuan Tan, Chuan Meng, Zhan Su, Kaiyu Huang, Jian-Yun Nie |
| 2025 | EFU: Enforcing Federated Unlearning via Functional Encryption. | Samaneh Mohammadi, Vasileios Tsouvalas, Iraklis Symeonidis, Ali Balador, Tanir Ozcelebi, Francesco Flammini, Nirvana Meratnia |
| 2025 | Reverse Chain-of-Thought and Causal Path Verification: A Modular Plugin for Aligning LLMs with Knowledge Graphs. | Dezhuang Miao, Yibin Du, Xiang Li, Xiaoming Zhang, Jiahe Li, Bo Zhang, Bingyu Yan, Lian Zhang, Litian Zhang |