| 2025 | Out of Distribution Detection for Efficient Continual Learning in Quality Prediction for Arc Welding. | Yannik Hahn, Jan Voets, Antonin Knigsfeld, Hasan Tercan, Tobias Meisen |
| 2025 | Study on LLMs for Promptagator-Style Dense Retriever Training. | Daniel Gwon, Nour Jedidi, Jimmy Lin |
| 2025 | A Large-Scale Dataset of Interactions Between Weibo Users and Platform-Empowered LLM Agent. | Shaokui Gu, Yongjie Yin, Qingyuan Gong, Fenghua Tong, Yipeng Zhou, Qiang Duan, Yang Chen |
| 2025 | BiListing: Modality Alignment for Listings. | Guillaume Guy, Mihajlo Grbovic, Chun How Tan, Han Zhao |
| 2025 | SSH-T | Zehao Gu, Yateng Tang, Jiarong Xu, Siwei Zhang, Xuehao Zheng, Xi Chen, Yun Xiong |
| 2025 | Pseudo-Inverse Prefix Tuning for Effective Unlearning in LLMs. | Preethi Gurumurthy, P. K. Srijith |
| 2025 | Twin-Flow Generative Ranking Network for Recommendation. | Hao Guo, Erpeng Xue, Lei Huang, Shichao Wang, Xiaolei Wang, Lei Wang, Jinpeng Wang, Zeshun Li, Sheng Chen |
| 2025 | Pet-Bench: Benchmarking the Abilities of Large Language Models as E-Pets in Social Network Services. | Hongcheng Guo, Zheyong Xie, Shaosheng Cao, Boyang Wang, Weiting Liu, Zheyu Ye, Zhoujun Li, Zuozhu Liu, Wei Lu |
| 2025 | Time-Period-Aware Embedding Regeneration for Session-Based Recommendation. | Cheng Guo, Rui Xue, Jeff Zhang |
| 2025 | MISS: Multi-Modal Tree Indexing and Searching with Lifelong Sequential Behavior for Retrieval Recommendation. | Chengcheng Guo, Junda She, Kuo Cai, Shiyao Wang, Qigen Hu, Qiang Luo, Guorui Zhou, Kun Gai |
| 2025 | Proto-Yield: An Uncertainty-Aware Prototype Network for Yield Prediction in Real-world Chemical Reactions. | Kehan Guo, Zhen Liu, Zhichun Guo, Bozhao Nan, Olexandr Isayev, Nitesh V. Chawla, Olaf Wiest, Xiangliang Zhang |
| 2025 | When Variety Seeking Meets Multi-Sided Recommendation Fairness: A Consistent and Personalized Multi-Objective Optimization Framework. | Jiayi Guo, Jiangning He, Chenyan Wang, Xinran Wu |
| 2025 | PersonaGen: A Persona-Driven Open-Ended Machine-Generated Text Dataset. | Carmelo Gugliotta, Lucio La Cava, Andrea Tagarelli |
| 2025 | PERC: A Prior-Guided Framework for Classifying Long-Content Educational Resources with Imbalanced Category Distributions. | Quanlong Guan, Xiuliang Duan, Zhi Chen, Xingyu Zhu, Jianbo Huang, Xinzhong Liu, Zonglin Liu, Liangda Fang |
| 2025 | A Large-Scale Web Search Dataset for Federated Online Learning to Rank. | Marcel Gregoriadis, Jingwei Kang, Johan Pouwelse |
| 2025 | E2MoCase: A Dataset for Emotional, Event and Moral Observations in News Articles on High-impact Legal Cases. | Candida Maria Greco, Lorenzo Zangari, Davide Picca, Andrea Tagarelli |
| 2025 | PathLens: Structurally Enhancing Heterophilic Graphs for GNNs. | Karan Goyal, Saankhya Samanta, Vikram Goyal, Mukesh K. Mohania |
| 2025 | Converted Data is All You Need for Causal Optimization of e-Commerce Promotions. | Dmitri Goldenberg, Hugo Manuel Proena, Amit Livne, Felipe Moraes, Javier Albert, Bracha Shapira |
| 2025 | High-Order Moments Conditional Domain Adaptation Networks for Wearable Human Activity Recognition. | Indrajeet Ghosh, Garvit Chugh, Abu Zaher Md Faridee, Nirmalya Roy |
| 2025 | Approximating Gradient-Based Influence for Scalable Instruction Data Selection. | Mohammad Gharehhasanloo, Yueting Chen, Nick Koudas, Xiaohui Yu |
| 2025 | LLM-OFA: On-the-Fly Adaptation of Large Language Models to Address Temporal Drift Across Two Decades of News. | Pouya Ghahramanian, Sepehr Bakhshi, Fazli Can |
| 2025 | STM-Graph: A Python Framework for Spatio-Temporal Mapping and Graph Neural Network Predictions. | Amirhossein Ghaffari, Huong Mai Nguyen, Lauri Lovn, Ekaterina Gilman |
| 2025 | Bidirectional Temporal-Aware Modeling with Multi-Scale Mixture-of-Experts for Multivariate Time Series Forecasting. | Yifan Gao, Boming Zhao, Haocheng Peng, Hujun Bao, Jiashu Zhao, Zhaopeng Cui |
| 2025 | LangPTune: Optimizing Language-based User Profiles for Recommendation. | Zhaolin Gao, Joyce Zhou, Yijia Dai, Thorsten Joachims |
| 2025 | DT-FedSDC: A Dual-Target Federated Framework with Semantic Enhancement and Disentangled Contrastive Learning for Cross-Domain Recommendation. | Shanyang Gao, Shanfeng Wang, Lanyu Yao, Jianzhao Li, Zhao Wang, Maoguo Gong, Ke Pan |