| 2026 | On Causal and Anticausal LLM-based Data Synthesis. | Bohan Jiang, Pingchuan Ma, Zhuoyu Shi, Fred Morstatter, Adrienne Raglin, Huan Liu |
| 2026 | TableMind: An Autonomous Programmatic Agent for Tool-Augmented Table Reasoning. | Chuang Jiang, Mingyue Cheng, Xiaoyu Tao, Qingyang Mao, Jie Ouyang, Qi Liu |
| 2026 | Diffusion Models for Risk-Aware Portfolio Optimization. | Jihyeong Jeon, Jeongyoung Lee, U Kang |
| 2026 | Metadata Meets LLMs: Constructing Knowledge-Rich Citation Networks with CoT-Enhanced Representations. | Soohwan Jeong, Mingyu Choi, Joon-Young Kim, Susik Yoon, Sungsu Lim |
| 2026 | N41: Leveraging One Target and Neighboring Features to Improve Anomaly Detection Accuracy. | Won-Seok Hwang, Jeong-Han Yun, Byung-Gil Min |
| 2026 | Network Tomography with Path-Centric Graph Neural Network. | Yuntong Hu, Junxiang Wang, Liang Zhao |
| 2026 | Dual Conditional Diffusion for Sequential Recommendation. | Hongtao Huang, Chengkai Huang, Tong Yu, Xiaojun Chang, Wen Hu, Julian J. McAuley, Lina Yao |
| 2026 | How Do LLM-Generated Texts Impact Term-Based Retrieval Models? | Wei Huang, Keping Bi, Yinqiong Cai, Wei Chen, Jiafeng Guo, Xueqi Cheng |
| 2026 | LLM-Guided Beam Search for Decision Graph Optimization with Dynamic Prompting. | Qihao Huang |
| 2026 | Towards Next-Generation Recommender Systems: A Benchmark for Personalized Recommendation Assistant with LLMs. | Jiani Huang, Shijie Wang, Liangbo Ning, Wenqi Fan, Shuaiqiang Wang, Dawei Yin, Qing Li |
| 2026 | Bootstrapping in the Loop: Multi-hop Question Answering via Alternating Decomposition and Retrieval. | Jiawei He, Zhanpeng Guan, Fuwei Zhang, Zhao Zhang, Yongjun Xu |
| 2026 | GSDiffRec: Enhancing Personalized Sequential Recommendation via Diffusion Augmentation and Guidance Optimization. | Ruxue Han, Lianyong Qi, Chao Yan, Weiyi Zhong, Boyuan Yan, Bing Zhao, Xiaoran Zhao, Zhikang Feng, Xiaolong Xu, Haolong Xiang, Xuyun Zhang |
| 2026 | LLM Agent-based Shilling Attack on Recommender Systems. | Shengkang Gu, Jiahao Liu, Dongsheng Li, Guangping Zhang, Mingzhe Han, Hansu Gu, Peng Zhang, Ning Gu, Li Shang, Tun Lu |
| 2026 | GenAI4SM: Generative AI for Streaming Media After-event Workshop Report. | Amit Goyal, Vladan Radosavljevic, Sudarshan Lamkhede, Praveen Chandar, Arnab Bhadury, Tao Ye |
| 2026 | GenAI4SM: Generative AI for Streaming Media. | Amit Goyal, Vladan Radosavljevic, Sudarshan Lamkhede, Praveen Chandar, Arnab Bhadury, Tao Ye |
| 2026 | Preliminary Use of Vision Language Model Driven Extraction of Mouse Behavior Towards Understanding Fear Expression. | Paimon Goulart, Jordan Steinhauser, Kylene Shuler, Edward Korzus, Jia Chen, Evangelos E. Papalexakis |
| 2026 | A Preliminary Agentic Framework for Matrix Deflation. | Paimon Goulart, Evangelos E. Papalexakis |
| 2026 | From Personalization to Prejudice: Bias and Discrimination in Memory-Enhanced AI Agents for Recruitment. | Himanshu Gharat, Himanshi Agrawal, Gourab K. Patro |
| 2026 | DDGCL: Dual Diffusion-based Graph Contrastive Learning for Recommendation. | Shiqi Ge, Shunmei Meng, Xiaoxiao Chi, Lianyong Qi, Xiaolong Xu, Amin Beheshti, Xuyun Zhang |
| 2026 | Multi-Agent System for Adversarial Robustness and Originality Attribution in Short-Form Videos. | Aditya Gautam, Somya Bhargava |
| 2026 | Dynamic Metrics to Validate the Use of Machine-Learned Interatomic Potential for Dynamic Sampling. | Bourgeois Biova Irne Gadjagboui, Md. Sharif Khan, Oliviero Andreussi |
| 2026 | RankGraph-Context: Empowering Different Industrial Recommendation System Stages. | Dongqi Fu, Yinglong Xia, Hong Li, Hong Yan |
| 2026 | A Joint Auction Framework with Externalities and Adaptation. | Chun Fang, Luowen Liu, Kun Huang, Tao Ruan, Sheng Yan, Zhen Wang, Huan Li, Qiang Liu, Xingxing Wang |
| 2026 | Identifiable Disentangled Representation Learning for Causal Inference under Network Interference. | Di Fan, Chuanhou Gao |
| 2026 | Sequential Recommendation with Generative Intent Prediction Utilizing User Search-Behavior. | Guy Elovici, Bracha Shapira, Haggai Roitman, Yotam Eshel |