| 2024 | Knowledge Induced Transformer Network for Causality Prediction. | Tirthankar Dasgupta, Manjira Sinha, Abir Naskar |
| 2024 | Near-duplicate Question Detection. | Preetam Prabhu Srikar Dammu, Omar Alonso |
| 2024 | Towards Graph Foundation Models for Personalization. | Andreas Damianou, Francesco Fabbri, Paul Gigioli, Marco De Nadai, Alice Wang, Enrico Palumbo, Mounia Lalmas |
| 2024 | Differentially Private Selection from Secure Distributed Computing. | Ivan Damgrd, Hannah Keller, Boel Nelson, Claudio Orlandi, Rasmus Pagh |
| 2024 | Navigating Multidimensional Ideologies with Reddit's Political Compass: Economic Conflict and Social Affinity. | Ernesto Colacrai, Federico Cinus, Gianmarco De Francisci Morales, Michele Starnini |
| 2024 | Only Send What You Need: Learning to Communicate Efficiently in Federated Multilingual Machine Translation. | Yun-Wei Chu, Dong-Jun Han, Christopher G. Brinton |
| 2024 | CompMix: A Benchmark for Heterogeneous Question Answering. | Philipp Christmann, Rishiraj Saha Roy, Gerhard Weikum |
| 2024 | Infrastructure Ombudsman: Mining Future Failure Concerns from Structural Disaster Response. | Md Towhidul Absar Chowdhury, Soumyajit Datta, Naveen Sharma, Ashiqur R. KhudaBukhsh |
| 2024 | An Interpretable Ensemble of Graph and Language Models for Improving Search Relevance in E-Commerce. | Nurendra Choudhary, Edward W. Huang, Karthik Subbian, Chandan K. Reddy |
| 2024 | What News Do People Get on Social Media? Analyzing Exposure and Consumption of News through Data Donations. | Salim Chouaki, Abhijnan Chakraborty, Oana Goga, Savvas Zannettou |
| 2024 | DSLR: Diversity Enhancement and Structure Learning for Rehearsal-based Graph Continual Learning. | Seungyoon Choi, Wonjoong Kim, Sungwon Kim, Yeonjun In, Sein Kim, Chanyoung Park |
| 2024 | Automated Claim Matching with Large Language Models: Empowering Fact-Checkers in the Fight Against Misinformation. | Eun-Cheol Choi, Emilio Ferrara |
| 2024 | FACT-GPT: Fact-Checking Augmentation via Claim Matching with LLMs. | Eun-Cheol Choi, Emilio Ferrara |
| 2024 | PhishinWebView: Analysis of Anti-Phishing Entities in Mobile Apps with WebView Targeted Phishing. | Yoonjung Choi, Woonghee Lee, Junbeom Hur |
| 2024 | Decoupled Variational Graph Autoencoder for Link Prediction. | Yoon-Sik Cho |
| 2024 | Discrete Choice and Applications. | Flavio Chierichetti, Ravi Kumar, Andrew Tomkins |
| 2024 | Game-theoretic Counterfactual Explanation for Graph Neural Networks. | Chirag Chhablani, Sarthak Jain, Akshay Channesh, Ian A. Kash, Sourav Medya |
| 2024 | Outgroup Dehumanisation in Telegram - the Role of Ingroup Identity and Perception. | Elizaveta Chernenko |
| 2024 | Modeling Multidimensional Cognitive Search in Creativity with Generalized Additive Model. | Jia Lin Cheoh |
| 2024 | DualCL: Principled Supervised Contrastive Learning as Mutual Information Maximization for Text Classification. | Junfan Chen, Richong Zhang, Yaowei Zheng, Qianben Chen, Chunming Hu, Yongyi Mao |
| 2024 | Cache-Aware Reinforcement Learning in Large-Scale Recommender Systems. | Xiaoshuang Chen, Gengrui Zhang, Yao Wang, Yulin Wu, Shuo Su, Kaiqiao Zhan, Ben Wang |
| 2024 | Self-Paced Pairwise Representation Learning for Semi-Supervised Text Classification. | Junfan Chen, Richong Zhang, Jiarui Wang, Chunming Hu, Yongyi Mao |
| 2024 | OneSparse: A Unified System for Multi-index Vector Search. | Yaoqi Chen, Ruicheng Zheng, Qi Chen, Shuotao Xu, Qianxi Zhang, Xue Wu, Weihao Han, Hua Yuan, Mingqin Li, Yujing Wang, Jason Li, Fan Yang, Hao Sun, Weiwei Deng, Feng Sun, Qi Zhang, Mao Yang |
| 2024 | Link Recommendation to Augment Influence Diffusion with Provable Guarantees. | Xiaolong Chen, Yifan Song, Jing Tang |
| 2024 | LARA: A Light and Anti-overfitting Retraining Approach for Unsupervised Time Series Anomaly Detection. | Feiyi Chen, Zhen Qin, Mengchu Zhou, Yingying Zhang, Shuiguang Deng, Lunting Fan, Guansong Pang, Qingsong Wen |