LLM-Driven Semantic ID for Information Diffusion Prediction
Haoshuang Liu, Zihan Feng, Yajun Yang, Xin Wang, Hong Gao, Qinghua Hu
2026年份
问问这篇 Paper
问问你的智能体。
Lune 读过与它相关的顶会 Paper，每个回答都会注明依据哪几篇。
相关 Paper
- Make Information Diffusion Explainable: LLM-based Causal Framework for Diffusion PredictionWenbo Shang, Zihan Feng, Yajun Yang, Xin HuangNeurIPS 2025 · 被引用 7 次
- STELA: Spatiotemporal Forecasting via Graph Learning and Entropy-Guided LLM AdaptationTiantian Huang, Yue Li, Wei Shao, Ziqi Xu 等WWW 2026
- IMPerSumm: Information-Modulated User Preference Modeling for Personalized Text SummarizationParthiv Chatterjee, Dhara Jhaveri, Sourish Dasgupta, Tanmoy ChakrabortyWWW 2026
- CCL-Diff: Representation-Consistent Diffusion with Intrinsic Contrastive Learning for Recommender SystemsLingyan Zhang, Wanyu Ling, Shuwen Daizhou, Li Kuang 等WWW 2026
- Global-View Reasoning with LLMs for Real-World Vulnerability DetectionXiaozhen Xu, Chaoran Tao, Guangliang Yang, Xinming Guo 等CCS 2026
