WWW 2024 — accepted papers
WWW 2024 is the 2024 edition of the ACM Web Conference (WWW). OpenAlex lists 786 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
- Representation Learning with Large Language Models for Recommendation ↗Xubin Ren, Wei Wei, Lianghao Xia et al.232 citations
- A Multifaceted Look at Starlink Performance ↗Nitinder Mohan, Andrew E. Ferguson, Hendrik L. Cech et al.168 citations
- MentaLLaMA: Interpretable Mental Health Analysis on Social Media with Large Language Models ↗Kailai Yang, Tianlin Zhang, Ziyan Kuang et al.167 citations
- Is Cosine-Similarity of Embeddings Really About Similarity? ↗Harald Steck, Chaitanya Ekanadham, Nathan Kallus137 citations
- UniTime: A Language-Empowered Unified Model for Cross-Domain Time Series Forecasting ↗Xu Liu, Junfeng Hu, Yuan Li et al.108 citations
- Collaborative Large Language Model for Recommender Systems ↗Yaochen Zhu, Liang Wu, Qi Sheng Guo et al.100 citations
- Revisiting VAE for Unsupervised Time Series Anomaly Detection: A Frequency Perspective ↗Zexin Wang, Changhua Pei, Minghua Ma et al.100 citations
- AgentCF: Collaborative Learning with Autonomous Language Agents for Recommender Systems ↗Junjie Zhang, Yupeng Hou, Ruobing Xie et al.89 citations
- Better to Ask in English: Cross-Lingual Evaluation of Large Language Models for Healthcare Queries ↗Yiqiao Jin, Mohit Chandra, Gaurav Verma et al.75 citations
- Harnessing Large Language Models for Text-Rich Sequential Recommendation ↗Zhi Zheng, Wenshuo Chao, Zhaopeng Qiu et al.75 citations
All accepted papers (786)
- Representation Learning with Large Language Models for Recommendation ↗Xubin Ren, Wei Wei, Lianghao Xia et al.232 citations
- A Multifaceted Look at Starlink Performance ↗Nitinder Mohan, Andrew E. Ferguson, Hendrik L. Cech et al.168 citations
- MentaLLaMA: Interpretable Mental Health Analysis on Social Media with Large Language Models ↗Kailai Yang, Tianlin Zhang, Ziyan Kuang et al.167 citations
- Is Cosine-Similarity of Embeddings Really About Similarity? ↗Harald Steck, Chaitanya Ekanadham, Nathan Kallus137 citations
- UniTime: A Language-Empowered Unified Model for Cross-Domain Time Series Forecasting ↗Xu Liu, Junfeng Hu, Yuan Li et al.108 citations
- Collaborative Large Language Model for Recommender Systems ↗Yaochen Zhu, Liang Wu, Qi Sheng Guo et al.100 citations
- Revisiting VAE for Unsupervised Time Series Anomaly Detection: A Frequency Perspective ↗Zexin Wang, Changhua Pei, Minghua Ma et al.100 citations
- AgentCF: Collaborative Learning with Autonomous Language Agents for Recommender Systems ↗Junjie Zhang, Yupeng Hou, Ruobing Xie et al.89 citations
- Better to Ask in English: Cross-Lingual Evaluation of Large Language Models for Healthcare Queries ↗Yiqiao Jin, Mohit Chandra, Gaurav Verma et al.75 citations
- Harnessing Large Language Models for Text-Rich Sequential Recommendation ↗Zhi Zheng, Wenshuo Chao, Zhaopeng Qiu et al.75 citations
- UrbanCLIP: Learning Text-enhanced Urban Region Profiling with Contrastive Language-Image Pretraining from the Web ↗Yibo Yan, Haomin Wen, Siru Zhong et al.71 citations
- Breaking the Time-Frequency Granularity Discrepancy in Time-Series Anomaly Detection ↗Youngeun Nam, Susik Yoon, Yooju Shin et al.65 citations
- Enhancing Sequential Recommendation via LLM-based Semantic Embedding Learning ↗Jun Hu, Wenwen Xia, Xiaolu Zhang et al.65 citations
- Explainable Fake News Detection with Large Language Model via Defense Among Competing Wisdom ↗Bo Wang, Jing Ma, Hongzhan Lin et al.65 citations
- RecDCL: Dual Contrastive Learning for Recommendation ↗Dan Zhang, Yangli‐ao Geng, Wenwen Gong et al.65 citations
- ReLLa: Retrieval-enhanced Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation ↗Jianghao Lin, Rong Shan, Chenxu Zhu et al.63 citations
- Large Language Model based Long-tail Query Rewriting in Taobao Search ↗W. Peng, Guiyang Li, Yue Jiang et al.62 citations
- Macro Graph Neural Networks for Online Billion-Scale Recommender Systems ↗Hao Chen, Yuanchen Bei, Qijie Shen et al.57 citations
- GraphTranslator: Aligning Graph Model to Large Language Model for Open-ended Tasks ↗Mengmei Zhang, Mingwei Sun, Peng Wang et al.56 citations
- Towards Explainable Harmful Meme Detection through Multimodal Debate between Large Language Models ↗Hongzhan Lin, Ziyang Luo, Wei Guang Gao et al.56 citations
- Large Language Models as Data Augmenters for Cold-Start Item Recommendation ↗Jianling Wang, Haokai Lu, James Caverlee et al.53 citations
- MULAN: Multi-modal Causal Structure Learning and Root Cause Analysis for Microservice Systems ↗Lecheng Zheng, Zhengzhang Chen, Jingrui He et al.49 citations
- Item-side Fairness of Large Language Model-based Recommendation System ↗Meng Jiang, Keqin Bao, Jizhi Zhang et al.47 citations
- Can Small Language Models be Good Reasoners for Sequential Recommendation? ↗Yuling Wang, Changxin Tian, Binbin Hu et al.46 citations
- Federated Heterogeneous Graph Neural Network for Privacy-preserving Recommendation ↗Bo Yan, Yang Cao, Haoyu Wang et al.46 citations
See all 786 papers in WWW 2024 — accepted papers →
Papers with our summary in our library (1)
- English Prompts are Better for NLI-based Zero-Shot Emotion Classification than Target-Language PromptsACM Web Conference (WWW)Patrick Bareiß, Roman Klinger, Jeremy Barnes2024 · 16 citations
Top topics
Sentiment & emotion (1)Multilingual & cross-lingual NLP (1)Reasoning (1)English (1)
Fields
Arts and Humanities (1)Computer Science (1)Psychology (1)
Top authors
Top institutions
🎓University of StuttgartStuttgart ·
Germany1 work here🎓University of the Basque CountryLeioa ·
Spain1 work here🎓University of BambergBamberg ·
Germany1 work here
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