Neural Retrievers are Biased Towards LLM-Generated Content
Sunhao Dai, Yuqi Zhou, Liang Pang, Weihao Liu, Xiaolin Hu, Yong Liu, Xiao Zhang, Gang Wang, Jun Xu
KDD 2024 Papers
ACM SIGKDD Conference on Knowledge Discovery and Data Mining
Decision breakdown
562papers
Counted from the official paper list; may differ slightly from the number the conference announced.
- Other / unlabeled562100.0%
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TitleTypeTopic
Neural Optimization with Adaptive Heuristics for Intelligent Marketing System
Changshuai Wei, Benjamin Zelditch, Joyce Chen, Andre Assuncao Silva T Ribeiro, Jingyi Kenneth Tay, Borja Ocejo Elizondo, Sathiya Keerthi Selvaraj, Aman Gupta, Licurgo Benemann De Almeida
Neural Manifold Operators for Learning the Evolution of Physical Dynamics
Hao Wu, Kangyu Weng, Shuyi Zhou, Xiaomeng Huang, Wei Xiong
Neural Collapse Inspired Debiased Representation Learning for Min-max Fairness
Shenyu Lu, Junyi Chai, Xiaoqian Wang
Neural Collapse Anchored Prompt Tuning for Generalizable Vision-Language Models
Didi Zhu, Zexi Li, Min Zhang, Junkun Yuan, Jiashuo Liu, Kun Kuang, Chao Wu
Nested Fusion: A Method for Learning High Resolution Latent Structure of Multi-Scale Measurement Data on Mars
Austin P. Wright, Scott Davidoff, Duen Horng Chau
Natural Language Explainable Recommendation with Robustness Enhancement
Jingsen Zhang, Jiakai Tang, Xu Chen, Wenhui Yu, Lantao Hu, Peng Jiang, Han Li
Mutual Distillation Extracting Spatial-temporal Knowledge for Lightweight Multi-channel Sleep Stage Classification
Ziyu Jia, Haichao Wang, Yucheng Liu, Tianzi Jiang
Multivariate Log-based Anomaly Detection for Distributed Database
Lingzhe Zhang, Tong Jia, Mengxi Jia, Ying Li, Yong Yang, Zhonghai Wu
Multi-task Conditional Attention Network for Conversion Prediction in Logistics Advertising
Baoshen Guo, Xining Song, Shuai Wang, Wei Gong, Tian He, Xue Liu
Multi-source Unsupervised Domain Adaptation on Graphs with Transferability Modeling
Tianxiang Zhao, Dongsheng Luo, Xiang Zhang, Suhang Wang
Multi-objective Learning to Rank by Model Distillation
Jie Tang, Huiji Gao, Liwei He, Sanjeev Katariya
Multi-Task Neural Linear Bandit for Exploration in Recommender Systems
Yi Su, Haokai Lu, Yuening Li, Liang Liu, Shuchao Bi, Ed H. Chi, Minmin Chen
Multi-Task Learning for Routing Problem with Cross-Problem Zero-Shot Generalization
Fei Liu, Xi Lin, Zhenkun Wang, Qingfu Zhang, Tong Xialiang, Mingxuan Yuan
Multi-Scale Detection of Anomalous Spatio-Temporal Trajectories in Evolving Trajectory Datasets
Chenhao Wang, Lisi Chen, Shuo Shang, Christian S. Jensen, Panos Kalnis
Multi-Behavior Collaborative Filtering with Partial Order Graph Convolutional Networks
Yijie Zhang, Yuanchen Bei, Hao Chen, Qijie Shen, Zheng Yuan, Huan Gong, Senzhang Wang, Feiran Huang, Xiao Huang
MulSTE: A Multi-view Spatio-temporal Learning Framework with Heterogeneous Event Fusion for Demand-supply Prediction
Li Lin, Zhiqiang Lu, Shuai Wang, Yunhuai Liu, Zhiqing Hong, Haotian Wang
Motif-Consistent Counterfactuals with Adversarial Refinement for Graph-level Anomaly Detection
Chunjing Xiao, Shikang Pang, Wenxin Tai, Yanlong Huang, Goce Trajcevski, Fan Zhou
Money Never Sleeps: Maximizing Liquidity Mining Yields in Decentralized Finance
Wangze Ni, Zhao Yiwei, Weijie Sun, Lei Chen, Peng Cheng, Chen Zhang, Xuemin Lin
Modeling User Retention through Generative Flow Networks
Ziru Liu, Shuchang Liu, Bin Yang, Zhenghai Xue, Qingpeng Cai, Xiangyu Zhao, Zijian Zhang, Lantao Hu, Han Li, Peng Jiang