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| 2025 | GAMED: Knowledge Adaptive Multi-Experts Decoupling for Multimodal Fake News Detection. | Lingzhi Shen, Yunfei Long, Xiaohao Cai, Imran Razzak, Guanming Chen, Kang Liu, Shoaib Jameel |
| 2025 | Fact-checking Multilingual Podcasts. | Vinay Setty |
| 2025 | Lightning IR: Straightforward Fine-tuning and Inference of Transformer-based Language Models for Information Retrieval. | Ferdinand Schlatt, Maik Frbe, Matthias Hagen |
| 2025 | Integrating Knowledge Graphs and Neuro-Symbolic AI: LDM Enables FAIR and Federated Research Data Management. | Ahmad Sakor, Mauricio Brunet, Enrique Iglesias, Ariam Rivas, Philipp D. Rohde, Angelina Kraft, Maria-Esther Vidal |
| 2025 | BioLinkerAI: Leveraging LLMs to Improve Biomedical Entity Linking and Knowledge Capture. | Ahmad Sakor, Kuldeep Singh, Maria-Esther Vidal |
| 2025 | Improving FIM Code Completions via Context & Curriculum Based Learning. | Hitesh Sagtani, Rishabh Mehrotra, Beyang Liu |
| 2025 | Bridging Historical Subgraph Optimization and Modern Graph Neural Network Approaches in Team Recommendation. | Mahdis Saeedi, Christine Wong, Hossein Fani |
| 2025 | Disinformation and Misinformation in the Age of Generative AI. | Koustav Rudra, Niloy Ganguly, Jeanne Pia Mifsud Bonnici, Eric Mller-Budack, Ritumbra Manuvie |
| 2025 | Building Trustworthy AI Models for Medicine: From Theory to Applications. | Soumyadeep Roy, Sowmya S. Sundaram, Dominik Wolff, Niloy Ganguly |
| 2025 | Evidence Contextualization and Counterfactual Attribution for Conversational QA over Heterogeneous Data with RAG Systems. | Rishiraj Saha Roy, Joel Schlotthauer, Chris Hinze, Andreas Foltyn, Luzian Hahn, Fabian Kch |
| 2025 | Context Embeddings for Efficient Answer Generation in Retrieval-Augmented Generation. | David Rau, Shuai Wang, Herv Djean, Stphane Clinchant, Jaap Kamps |
| 2025 | Quam: Adaptive Retrieval through Query Affinity Modelling. | Mandeep Rathee, Sean MacAvaney, Avishek Anand |
| 2025 | SpecialtyScribe: Enhancing SOAP note Scribing for Medical Specialties using LLMs. | Eti Rastogi, Sagar Goyal, Fen Zhao, Dong Yuan |
| 2025 | LLM4Eval@WSDM 2025: Large Language Model for Evaluation in Information Retrieval. | Hossein A. Rahmani, Clemencia Siro, Mohammad Aliannejadi, Nick Craswell, Charles L. A. Clarke, Guglielmo Faggioli, Bhaskar Mitra, Paul Thomas, Emine Yilmaz |
| 2025 | IMPO: Interpretable Memory-based Prototypical Pooling. | Alessio Ragno, Roberto Capobianco |
| 2025 | Neo-TKGC: Enhancing Temporal Knowledge Graph Completion with Integrated Node Weights and Future Information. | Zihan Qiu, Xiaoling Zhou, Chunyan An, Qiang Yang, Zhixu Li |
| 2025 | Graph Size-imbalanced Learning with Energy-guided Structural Smoothing. | Jiawen Qin, Pengfeng Huang, Qingyun Sun, Cheng Ji, Xingcheng Fu, Jianxin Li |
| 2025 | LOGIN: A Large Language Model Consulted Graph Neural Network Training Framework. | Yiran Qiao, Xiang Ao, Yang Liu, Jiarong Xu, Xiaoqian Sun, Qing He |
| 2025 | Adaptive Graph Enhancement for Imbalanced Multi-relation Graph Learning. | Yiyue Qian, Tianyi Ma, Chuxu Zhang, Yanfang Ye |
| 2025 | Personalization At Doordash: From Conversion Modeling To Multi-objective Long-term Value Optimization. | Qilin Qi |
| 2025 | Enhancing Medical Knowledge Discovery: A Neuro-symbolic System for Inductive Learning over Medical KGs. | Disha Purohit, Yashrajsinh Chudasama, Maria-Esther Vidal |
| 2025 | Polaris: Sampling from the Multigraph Configuration Model with Prescribed Color Assortativity. | Giulia Preti, Matteo Riondato, Aristides Gionis, Gianmarco De Francisci Morales |
| 2025 | Temporal Linear Item-Item Model for Sequential Recommendation. | Seongmin Park, Mincheol Yoon, Minjin Choi, Jongwuk Lee |
| 2025 | CIMAGE: Exploiting the Conditional Independence in Masked Graph Auto-encoders. | Jongwon Park, Heesoo Jung, Hogun Park |