Zhaoxuan Tan
Cited by
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TwiBot-22: Towards graph-based Twitter bot detection
S Feng, Z Tan, H Wan, N Wang, Z Chen, B Zhang, Q Zheng, W Zhang, ...
NeurIPS 2022, Dataset and Benchmark Track, 2022
Heterogeneity-aware twitter bot detection with relational graph transformers
S Feng, Z Tan, R Li, M Luo
AAAI 2022, 2022
Can Language Models Solve Graph Problems in Natural Language?
H Wang, S Feng, T He, Z Tan, X Han, Y Tsvetkov
NeurIPS 2023, spotlight, 2023
BotPercent: Estimating Bot Populations in Twitter Communities
Z Tan, S Feng, M Sclar, H Wan, M Luo, Y Choi, Y Tsvetkov
EMNLP 2023, findings, 2023
KRACL: Contrastive Learning with Graph Context Modeling for Sparse Knowledge Graph Completion
Z Tan, Z Chen, S Feng, Q Zhang, Q Zheng, J Li, M Luo
The Web Conference 2023, 2022
BotMoE: Twitter Bot Detection with Community-Aware Mixtures of Modal-Specific Experts
Y Liu, Z Tan, H Wang, S Feng, Q Zheng, M Luo
SIGIR 2023, 2023
KALM: Knowledge-Aware Integration of Local, Document, and Global Contexts for Long Document Understanding
S Feng, Z Tan, W Zhang, Z Lei, Y Tsvetkov
ACL 2023, 2022
PAR: Political Actor Representation Learning with Social Context and Expert Knowledge
S Feng, Z Tan, Z Chen, N Wang, P Yu, Q Zheng, X Chang, M Luo
EMNLP 2022, 2022
Hofa: Twitter bot detection with homophily-oriented augmentation and frequency adaptive attention
S Ye, Z Tan, Z Lei, R He, H Wang, Q Zheng, M Luo
arXiv preprint arXiv:2306.12870, 2023
Towards Safer Large Language Models through Machine Unlearning
Z Liu, G Dou, Z Tan, Y Tian, M Jiang
ACL 2024, findings, 2024
Knowledge crosswords: Geometric reasoning over structured knowledge with large language models
W Ding, S Feng, Y Liu, Z Tan, V Balachandran, T He, Y Tsvetkov
ACL 2024, findings, 2023
LMBot: Distilling Graph Knowledge into Language Model for Graph-less Deployment in Twitter Bot Detection
Z Cai, Z Tan, Z Lei, H Wang, Z Zhu, Q Zheng, M Luo
WSDM 2024, 2023
Democratizing Large Language Models via Personalized Parameter-Efficient Fine-tuning
Z Tan, Q Zeng, Y Tian, Z Liu, B Yin, M Jiang
arXiv preprint arXiv:2402.04401, 2024
User Modeling in the Era of Large Language Models: Current Research and Future Directions
Z Tan, M Jiang
IEEE Data Engineering Bulletin (DEBULL) 2023., 2023
AHEAD: A Triple Attention Based Heterogeneous Graph Anomaly Detection Approach
S Yang, B Zhang, S Feng, Z Tan, Q Zheng, J Zhou, M Luo
CIAC 2023, 2022
DELL: Generating Reactions and Explanations for LLM-Based Misinformation Detection
H Wan, S Feng, Z Tan, H Wang, Y Tsvetkov, M Luo
ACL 2024, findings, 2024
Detecting Spoilers in Movie Reviews with External Movie Knowledge and User Networks
H Wang, W Zhang, Y Bai, Z Tan, S Feng, Q Zheng, M Luo
EMNLP 2023, 2023
Chain-of-Layer: Iteratively Prompting Large Language Models for Taxonomy Induction from Limited Examples
Q Zeng, Y Bai, Z Tan, S Feng, Z Liang, Z Zhang, M Jiang
arXiv preprint arXiv:2402.07386, 2024
What Does the Bot Say? Opportunities and Risks of Large Language Models in Social Media Bot Detection
S Feng, H Wan, N Wang, Z Tan, M Luo, Y Tsvetkov
ACL 2024, 2024
KGQUIZ: Evaluating the Generalization of Encoded Knowledge in Large Language Models
Y Bai, S Feng, V Balachandran, Z Tan, S Lou, T He, Y Tsvetkov
The Web Conference 2024, 2023
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