| 2025 | How Does Memorization Impact LLMs' Social Reasoning? An Assessment using Seen and Unseen Queries. | Maryam Amirizaniani, Maryna Sivachenko, Adrian Lavergne, Chirag Shah, Afra Mashhadi |
| 2025 | Mind Over Machine: Evaluating Theory of Mind Reasoning in LLMs and Humans. | Maryam Amirizaniani |
| 2025 | The Initial Screening Order Problem. | Jos M. lvarez, Antonio Mastropietro, Salvatore Ruggieri |
| 2025 | SAGESSE: A System for Argument Generation, Extraction and Structuring of Social Exchanges. | Nicolas Almerge, Matteo Santelmo, Ilker Gl, Amin Asadi Sarijalou, Rmi Lebret, Lo Laugier, Karl Aberer |
| 2025 | Large Language Model driven Policy Exploration for Recommender Systems. | Jie Wang, Alexandros Karatzoglou, Ioannis Arapakis, Joemon M. Jose |
| 2025 | Advancing Voice AI for E-commerce: Tracking ASR Model Performance at Scale. | Dhruv Agarwal, Nupur Neti, Federica Cerina |
| 2025 | Fusion Matters: Learning Fusion in Deep Click-through Rate Prediction Models. | Kexin Zhang, Fuyuan Lyu, Xing Tang, Dugang Liu, Chen Ma, Kaize Ding, Xiuqiang He, Xue Liu |
| 2025 | Hawkes Point Process-enhanced Dynamic Graph Neural Network. | Zhiqiang Wang, Baijing Hu, Kaixuan Yao, Jiye Liang |
| 2025 | RSM: Reinforced Subgraph Matching Framework with Fine-grained Operation based Search Plan. | Ziming Li, Yuequn Dou, Youhuan Li, Xinhuan Chen, Chuxu Zhang |
| 2025 | MoKGNN: Boosting Graph Neural Networks via Mixture of Generic and Task-Specific Language Models. | Hao Yan, Chaozhuo Li, Jun Yin, Weihao Han, Hao Sun, Senzhang Wang, Jian Zhang, Jianxin Wang |
| 2025 | Towards Secure and Robust Recommender Systems: A Data-Centric Perspective. | Zongwei Wang, Junliang Yu, Tong Chen, Hongzhi Yin, Shazia Sadiq, Min Gao |
| 2025 | Bridging Source and Target Domains via Link Prediction for Unsupervised Domain Adaptation on Graphs. | Yilong Wang, Tianxiang Zhao, Zongyu Wu, Suhang Wang |
| 2025 | Dynamic Interaction-Driven Intent Evolver with Semantic Probability Distributions. | Zelin Li, Cheng Zhang, Dawei Song |
| 2025 | Sequentially Diversified and Accurate Recommendations in Chronological Order for a Series of Users. | Jongjin Kim, U Kang |
| 2025 | Towards Personalized Federated Multi-Scenario Multi-Task Recommendation. | Yue Ding, Yanbiao Ji, Xun Cai, Xin Xin, Yuxiang Lu, Suizhi Huang, Chang Liu, Xiaofeng Gao, Tsuyoshi Murata, Hongtao Lu |
| 2025 | Beyond Answers: Transferring Reasoning Capabilities to Smaller LLMs Using Multi-Teacher Knowledge Distillation. | Yijun Tian, Yikun Han, Xiusi Chen, Wei Wang, Nitesh V. Chawla |
| 2024 | MultiSPANS: A Multi-range Spatial-Temporal Transformer Network for Traffic Forecast via Structural Entropy Optimization. | Dongcheng Zou, Senzhang Wang, Xuefeng Li, Hao Peng, Yuandong Wang, Chunyang Liu, Kehua Sheng, Bo Zhang |
| 2024 | Pitfalls in Link Prediction with Graph Neural Networks: Understanding the Impact of Target-link Inclusion & Better Practices. | Jing Zhu, Yuhang Zhou, Vassilis N. Ioannidis, Shengyi Qian, Wei Ai, Xiang Song, Danai Koutra |
| 2024 | Collaboration and Transition: Distilling Item Transitions into Multi-Query Self-Attention for Sequential Recommendation. | Tianyu Zhu, Yansong Shi, Yuan Zhang, Yihong Wu, Fengran Mo, Jian-Yun Nie |
| 2024 | The Devil is in the Data: Learning Fair Graph Neural Networks via Partial Knowledge Distillation. | Yuchang Zhu, Jintang Li, Liang Chen, Zibin Zheng |
| 2024 | Dance with Labels: Dual-Heterogeneous Label Graph Interaction for Multi-intent Spoken Language Understanding. | Zhihong Zhu, Xuxin Cheng, Hongxiang Li, Yaowei Li, Yuexian Zou |
| 2024 | CreST: A Credible Spatiotemporal Learning Framework for Uncertainty-aware Traffic Forecasting. | Zhengyang Zhou, Jiahao Shi, Hongbo Zhang, Qiongyu Chen, Xu Wang, Hongyang Chen, Yang Wang |
| 2024 | Interpretable Imitation Learning with Dynamic Causal Relations. | Tianxiang Zhao, Wenchao Yu, Suhang Wang, Lu Wang, Xiang Zhang, Yuncong Chen, Yanchi Liu, Wei Cheng, Haifeng Chen |
| 2024 | RDGCN: Reinforced Dependency Graph Convolutional Network for Aspect-based Sentiment Analysis. | Xusheng Zhao, Hao Peng, Qiong Dai, Xu Bai, Huailiang Peng, Yanbing Liu, Qinglang Guo, Philip S. Yu |
| 2024 | Wildfire: A Twitter Social Sensing Platform for Layperson. | Zeyu Zhang, Zhengyuan Zhu, Haiqi Zhang, Foram Patel, Josue Caraballo, Patrick Hennecke, Chengkai Li |