Towards Explainable Harmful Meme Detection through Multimodal Debate between Large Language Models
Hongzhan Lin, Ziyang Luo, Wei Gao, Jing Ma, Bo Wang, Ruichao Yang
Oral
WWW 2024 Papers
ACM Web Conference
Decision breakdown
405papers
Counted from the official paper list; may differ slightly from the number the conference announced.
- Oral18946.7%
- Poster21653.3%
Browse all papers
TitleTypeTopic
Category-based and Popularity-guided Video Game Recommendation: A Balance-oriented Framework
Xiping Li, Jianghong Ma, Kangzhe Liu, Shanshan Feng, Haijun Zhang, Yutong Wang
Oral
From Shapes to Shapes: Inferring SHACL Shapes for Results of SPARQL CONSTRUCT Queries
Philipp Seifer, Daniel Hernandez, Ralf Lämmel, Steffen Staab
Oral
GraphControl: Adding Conditional Control to Universal Graph Pre-trained Models for Graph Domain Transfer Learning
Yun Zhu, Yaoke Wang, Haizhou Shi, Zhenshuo Zhang, Dian Jiao, Siliang Tang
Oral
Graph Contrastive Learning via Interventional View Generation
Zengyi Wo, Minglai Shao, Wenjun Wang, Xuan Guo, Lu Lin
Oral
Toward Practical Entity Alignment Method Design: Insights from New Highly Heterogeneous Knowledge Graph Datasets
Xuhui Jiang, Chengjin Xu, Yinghan Shen, Yuanzhuo Wang, Fenglong Su, Zhichao Shi, Fei Sun, Zixuan Li, Jian Guo, Huawei Shen
Oral
Collaboration-Aware Hybrid Learning for Knowledge Development Prediction
Liyi Chen, Chuan Qin, Ying Sun, XIN SONG, Tong Xu, Hengshu Zhu, Hui Xiong
Oral
Distributionally Robust Graph-based Recommendation System
Bohao Wang, Jiawei Chen, Changdong Li, Sheng Zhou, Qihao Shi, Yang Gao, Yan Feng, Chun Chen, Can Wang
Oral
Trajectory-wise Iterative Reinforcement Learning Framework for Auto-bidding
Haoming Li, Yusen Huo, Shuai Dou, Zhenzhe Zheng, Zhilin Zhang, Chuan Yu, Jian Xu, Fan Wu
Oral
Disentangling the Long-Term Effects of Recommendations on User Consumption Patterns
Md Sanzeed Anwar, Grant Schoenebeck, Paramveer Dhillon
Oral
Exploiting Spatial-Temporal Data in Knowledge Graphs for Enhanced Prediction
Ruiyi Yang, Flora D. Salim, Hao Xue
Oral
Could Small Language Models Serve as Recommenders? Towards Data-centric Cold-start Recommendation
Xuansheng Wu, Huachi Zhou, Yucheng Shi, Wenlin Yao, Xiao Huang, Ninghao Liu
Oral
ReLLa: Retrieval-enhanced Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation
Jianghao Lin, Rong Shan, Chenxu Zhu, Kounianhua Du, Bo Chen, Shigang Quan, Ruiming Tang, Yong Yu, Weinan Zhang
Oral
Towards Expansive and Adaptive Hard Negative Mining: Graph Contrastive Learning via Subspace Preserving
Zhezheng Hao, Haonan Xin, Wei Long, Liaoyuan Tang, Rong Wang, Feiping Nie
Oral
GEES: Enabling Location Privacy-Preserving Energy Saving in Multi-Access Edge Computing
Ziqi Wang, Xiaoyu Xia, Jason Xue, Ibrahim Khalil, Minghui Liwang, Xun Yi
Oral
Exploring Unconfirmed Transactions for Effective Bitcoin Address Clustering
Kai Wang, Yakun Cheng, Maike Tong, Zhenghao Niu, Jun Pang, Weili Han
Oral
Asking Multimodal Clarifying Questions in Mixed-Initiative Conversational Search
Yifei Yuan, Clemencia Siro, Mohammad Aliannejadi, Maarten de Rijke, Wai Lam
Oral
Metacognitive Retrieval-Augmented Large Language Models
Yujia Zhou, Zheng Liu, Jiajie Jin, Jian-Yun Nie, Zhicheng Dou
Oral
Collaborative Large Language Model for Recommender Systems
Yaochen Zhu, Liang Wu, Qi Guo, Liangjie Hong, Jundong Li
Oral
Bidder Selection Problem in Position Auctions: A Fast and Simple Algorithm via Poisson Approximation
Nick Gravin, Yixuan Even Xu, Renfei Zhou
Oral