KDD 2024 — accepted papers
KDD 2024 is the 2024 edition of the ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD). OpenAlex lists 642 papers of it; our library holds 1 with our summaries. Below: the most cited papers, every accepted paper, and ours with their topics, authors and institutions.
Most cited papers
- A Survey on RAG Meeting LLMs: Towards Retrieval-Augmented Large Language ModelsWenqi Fan, Yujuan Ding, Liangbo Ning et al.795 citations · our summary
- Foundation Models for Time Series Analysis: A Tutorial and Survey ↗Yuxuan Liang, Haomin Wen, Yuqi Nie et al.225 citations
- UrbanGPT: Spatio-Temporal Large Language Models ↗Zhonghang Li, Lianghao Xia, Jiabin Tang et al.173 citations
- FederatedScope-LLM: A Comprehensive Package for Fine-tuning Large Language Models in Federated Learning ↗Weirui Kuang, Bingchen Qian, Zitao Li et al.137 citations
- Large Language Models meet Collaborative Filtering: An Efficient All-round LLM-based Recommender System ↗Sein Kim, Hongseok Kang, Seungyoon Choi et al.133 citations
- Bias and Unfairness in Information Retrieval Systems: New Challenges in the LLM Era ↗Sunhao Dai, Xu Chen, Shicheng Xu et al.129 citations
- OpenFedLLM: Training Large Language Models on Decentralized Private Data via Federated Learning ↗Rui Ye, Wenhao Wang, Jingyi Chai et al.127 citations
- A Review of Modern Recommender Systems Using Generative Models (Gen-RecSys) ↗Yashar Deldjoo, Zhankui He, Julian McAuley et al.118 citations
- Fredformer: Frequency Debiased Transformer for Time Series Forecasting ↗Xihao Piao, Zheng Chen, Taichi Murayama et al.114 citations
- UniST: A Prompt-Empowered Universal Model for Urban Spatio-Temporal Prediction ↗Yuan Yuan, Jingtao Ding, Jie Feng et al.112 citations
All accepted papers (642)
- A Survey on RAG Meeting LLMs: Towards Retrieval-Augmented Large Language ModelsWenqi Fan, Yujuan Ding, Liangbo Ning et al.795 citations · our summary
- Foundation Models for Time Series Analysis: A Tutorial and Survey ↗Yuxuan Liang, Haomin Wen, Yuqi Nie et al.225 citations
- UrbanGPT: Spatio-Temporal Large Language Models ↗Zhonghang Li, Lianghao Xia, Jiabin Tang et al.173 citations
- FederatedScope-LLM: A Comprehensive Package for Fine-tuning Large Language Models in Federated Learning ↗Weirui Kuang, Bingchen Qian, Zitao Li et al.137 citations
- Large Language Models meet Collaborative Filtering: An Efficient All-round LLM-based Recommender System ↗Sein Kim, Hongseok Kang, Seungyoon Choi et al.133 citations
- Bias and Unfairness in Information Retrieval Systems: New Challenges in the LLM Era ↗Sunhao Dai, Xu Chen, Shicheng Xu et al.129 citations
- OpenFedLLM: Training Large Language Models on Decentralized Private Data via Federated Learning ↗Rui Ye, Wenhao Wang, Jingyi Chai et al.127 citations
- A Review of Modern Recommender Systems Using Generative Models (Gen-RecSys) ↗Yashar Deldjoo, Zhankui He, Julian McAuley et al.118 citations
- Fredformer: Frequency Debiased Transformer for Time Series Forecasting ↗Xihao Piao, Zheng Chen, Taichi Murayama et al.114 citations
- UniST: A Prompt-Empowered Universal Model for Urban Spatio-Temporal Prediction ↗Yuan Yuan, Jingtao Ding, Jie Feng et al.112 citations
- ImputeFormer: Low Rankness-Induced Transformers for Generalizable Spatiotemporal Imputation ↗Tong Nie, Guoyang Qin, Wei Ma et al.101 citations
- Fake News in Sheep's Clothing: Robust Fake News Detection Against LLM-Empowered Style Attacks ↗Jiaying Wu, Jiafeng Guo, Bryan Hooi97 citations
- Graph Mamba: Towards Learning on Graphs with State Space Models ↗Ali Behrouz, Farnoosh Hashemi80 citations
- FedBiOT: LLM Local Fine-tuning in Federated Learning without Full Model ↗Feijie Wu, Zitao Li, Yaliang Li et al.78 citations
- AI for Education (AI4EDU): Advancing Personalized Education with LLM and Adaptive Learning ↗Qingsong Wen, Joleen Liang, Carles Sierra et al.77 citations
- EmoLLMs: A Series of Emotional Large Language Models and Annotation Tools for Comprehensive Affective Analysis ↗Zhiwei Liu, Kailai Yang, Qianqian Xie et al.76 citations
- A Multimodal Foundation Agent for Financial Trading: Tool-Augmented, Diversified, and Generalist ↗Wentao Zhang, Lingxuan Zhao, Haochong Xia et al.73 citations
- A Survey of Large Language Models for Graphs ↗Xubin Ren, Jiabin Tang, Dawei Yin et al.72 citations
- TnT-LLM: Text Mining at Scale with Large Language Models ↗Mengting Wan, Tara Safavi, Sujay Kumar Jauhar et al.71 citations
- Heterogeneity-Informed Meta-Parameter Learning for Spatiotemporal Time Series Forecasting ↗Zheng Dong, Renhe Jiang, Haotian Gao et al.68 citations
- A Review of Graph Neural Networks in Epidemic Modeling ↗Zewen Liu, Guancheng Wan, B. Aditya Prakash et al.67 citations
- A Survey on Hypergraph Neural Networks: An In-Depth and Step-By-Step Guide ↗Sunwoo Kim, Soo Yong Lee, Yue Gao et al.60 citations
- FNSPID: A Comprehensive Financial News Dataset in Time Series ↗Zihan Dong, Fan Xinyu, Zhiyuan Peng60 citations
- Multimodal Pretraining, Adaptation, and Generation for Recommendation: A Survey ↗Qijiong Liu, Jieming Zhu, Yanting Yang et al.60 citations
- LogParser-LLM: Advancing Efficient Log Parsing with Large Language Models ↗Aoxiao Zhong, Dengyao Mo, Guiyang Liu et al.59 citations
See all 642 papers in KDD 2024 — accepted papers →
Papers with our summary in our library (1)
- A Survey on RAG Meeting LLMs: Towards Retrieval-Augmented Large Language ModelsACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)Wenqi Fan; Yujuan Ding; Liangbo Ning; Shijie Wang; Hengyun Li; Dawei Yin; Tat-Seng Chua;, Qing Li2024 · 1,006 citations
Top topics
Language models & pretraining (1)Information retrieval & search (1)
Fields
Arts and Humanities (1)Computer Science (1)
Top authors
Top institutions
🎓Hong Kong Polytechnic UniversityHong Kong ·
China1 work here🎓National University of SingaporeSingapore ·
Singapore1 work here🏢BaiduBeijing ·
China1 work here
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