Zhaoxuan Tan

According to our database, Zhaoxuan Tan authored at least 38 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Adaptive Personalized Conversational Information Retrieval.

Fengran Mo, Yuchen Hui, Yuxing Tian, Zhaoxuan Tan, Chuan Meng, Zhan Su, Kaiyu Huang, Jian-Yun Nie

CoRR, August, 2025

Generalizable LLM Learning of Graph Synthetic Data with Reinforcement Learning.

Yizhuo Zhang, Heng Wang, Shangbin Feng, Zhaoxuan Tan, Xinyun Liu, Yulia Tsvetkov

CoRR, June, 2025

Can Large Language Models Understand Preferences in Personalized Recommendation?

Zhaoxuan Tan, Zinan Zeng, Qingkai Zeng, Zhenyu Wu, Zheyuan Liu, Fengran Mo, Meng Jiang

CoRR, January, 2025

IHEval: Evaluating Language Models on Following the Instruction Hierarchy.

Zhihan Zhang, Shiyang Li, Zixuan Zhang, Xin Liu, Haoming Jiang, Xianfeng Tang, Yifan Gao, Zheng Li, Haodong Wang, Zhaoxuan Tan, Yichuan Li, Qingyu Yin, Bing Yin, Meng Jiang

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

Protecting Privacy in Multimodal Large Language Models with MLLMU-Bench.

Zheyuan Liu, Guangyao Dou, Mengzhao Jia, Zhaoxuan Tan, Qingkai Zeng, Yongle Yuan, Meng Jiang

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

Aligning Large Language Models with Implicit Preferences from User-Generated Content.

Zhaoxuan Tan, Zheng Li, Tianyi Liu, Haodong Wang, Hyokun Yun, Ming Zeng, Pei Chen, Zhihan Zhang, Yifan Gao, Ruijie Wang, Priyanka Nigam, Bing Yin, Meng Jiang

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Modality-Aware Neuron Pruning for Unlearning in Multimodal Large Language Models.

Zheyuan Liu, Guangyao Dou, Xiangchi Yuan, Chunhui Zhang, Zhaoxuan Tan, Meng Jiang

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Enhancing Mathematical Reasoning in LLMs by Stepwise Correction.

Zhenyu Wu, Qingkai Zeng, Zhihan Zhang, Zhaoxuan Tan, Chao Shen, Meng Jiang

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

CodeTaxo: Enhancing Taxonomy Expansion with Limited Examples via Code Language Prompts.

Qingkai Zeng, Yuyang Bai, Zhaoxuan Tan, Zhenyu Wu, Shangbin Feng, Meng Jiang

Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024

Machine Unlearning in Generative AI: A Survey.

Zheyuan Liu, Guangyao Dou, Zhaoxuan Tan, Yijun Tian, Meng Jiang

CoRR, 2024

Empirical Guidelines for Deploying LLMs onto Resource-constrained Edge Devices.

Ruiyang Qin, Dancheng Liu, Zheyu Yan, Zhaoxuan Tan, Zixuan Pan, Zhenge Jia, Meng Jiang, Ahmed Abbasi, Jinjun Xiong, Yiyu Shi

CoRR, 2024

Large Language Models Can Self-Correct with Minimal Effort.

Zhenyu Wu, Qingkai Zeng, Zhihan Zhang, Zhaoxuan Tan, Chao Shen, Meng Jiang

CoRR, 2024

KGQuiz: Evaluating the Generalization of Encoded Knowledge in Large Language Models.

Yuyang Bai, Shangbin Feng, Vidhisha Balachandran, Zhaoxuan Tan, Shiqi Lou, Tianxing He, Yulia Tsvetkov

Proceedings of the ACM on Web Conference 2024, 2024

LMBot: Distilling Graph Knowledge into Language Model for Graph-less Deployment in Twitter Bot Detection.

Zijian Cai, Zhaoxuan Tan, Zhenyu Lei, Zifeng Zhu, Hongrui Wang, Qinghua Zheng, Minnan Luo

Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

Can LLM Graph Reasoning Generalize beyond Pattern Memorization?

Yizhuo Zhang, Heng Wang, Shangbin Feng, Zhaoxuan Tan, Xiaochuang Han, Tianxing He, Yulia Tsvetkov

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Personalized Pieces: Efficient Personalized Large Language Models through Collaborative Efforts.

Zhaoxuan Tan, Zheyuan Liu, Meng Jiang

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Democratizing Large Language Models via Personalized Parameter-Efficient Fine-tuning.

Zhaoxuan Tan, Qingkai Zeng, Yijun Tian, Zheyuan Liu, Bing Yin, Meng Jiang

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Large Language Models Can Self-Correct with Key Condition Verification.

Zhenyu Wu, Qingkai Zeng, Zhihan Zhang, Zhaoxuan Tan, Chao Shen, Meng Jiang

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Chain-of-Layer: Iteratively Prompting Large Language Models for Taxonomy Induction from Limited Examples.

Qingkai Zeng, Yuyang Bai, Zhaoxuan Tan, Shangbin Feng, Zhenwen Liang, Zhihan Zhang, Meng Jiang

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

DELL: Generating Reactions and Explanations for LLM-Based Misinformation Detection.

Herun Wan, Shangbin Feng, Zhaoxuan Tan, Heng Wang, Yulia Tsvetkov, Minnan Luo

Proceedings of the Findings of the Association for Computational Linguistics, 2024

What Does the Bot Say? Opportunities and Risks of Large Language Models in Social Media Bot Detection.

Shangbin Feng, Herun Wan, Ningnan Wang, Zhaoxuan Tan, Minnan Luo, Yulia Tsvetkov

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Towards Safer Large Language Models through Machine Unlearning.

Zheyuan Liu, Guangyao Dou, Zhaoxuan Tan, Yijun Tian, Meng Jiang

Proceedings of the Findings of the Association for Computational Linguistics, 2024

Knowledge Crosswords: Geometric Knowledge Reasoning with Large Language Models.

Wenxuan Ding, Shangbin Feng, Yuhan Liu, Zhaoxuan Tan, Vidhisha Balachandran, Tianxing He, Yulia Tsvetkov

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

User Modeling in the Era of Large Language Models: Current Research and Future Directions.

Zhaoxuan Tan, Meng Jiang

IEEE Data Eng. Bull., 2023

GADY: Unsupervised Anomaly Detection on Dynamic Graphs.

Shiqi Lou, Qingyue Zhang, Shujie Yang, Yuyang Tian, Zhaoxuan Tan, Minnan Luo

CoRR, 2023

Knowledge Crosswords: Geometric Reasoning over Structured Knowledge with Large Language Models.

Wenxuan Ding, Shangbin Feng, Yuhan Liu, Zhaoxuan Tan, Vidhisha Balachandran, Tianxing He, Yulia Tsvetkov

CoRR, 2023

HOFA: Twitter Bot Detection with Homophily-Oriented Augmentation and Frequency Adaptive Attention.

Sen Ye, Zhaoxuan Tan, Zhenyu Lei, Ruijie He, Hongrui Wang, Qinghua Zheng, Minnan Luo

CoRR, 2023

BotPercent: Estimating Twitter Bot Populations from Groups to Crowds.

Zhaoxuan Tan, Shangbin Feng, Melanie Sclar, Herun Wan, Minnan Luo, Yejin Choi, Yulia Tsvetkov

CoRR, 2023

KRACL: Contrastive Learning with Graph Context Modeling for Sparse Knowledge Graph Completion.

Zhaoxuan Tan, Zilong Chen, Shangbin Feng, Qingyue Zhang, Qinghua Zheng, Jundong Li, Minnan Luo

Proceedings of the ACM Web Conference 2023, 2023

BotMoE: Twitter Bot Detection with Community-Aware Mixtures of Modal-Specific Experts.

Yuhan Liu, Zhaoxuan Tan, Heng Wang, Shangbin Feng, Qinghua Zheng, Minnan Luo

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Can Language Models Solve Graph Problems in Natural Language?

Heng Wang, Shangbin Feng, Tianxing He, Zhaoxuan Tan, Xiaochuang Han, Yulia Tsvetkov

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Detecting Spoilers in Movie Reviews with External Movie Knowledge and User Networks.

Heng Wang, Wenqian Zhang, Yuyang Bai, Zhaoxuan Tan, Shangbin Feng, Qinghua Zheng, Minnan Luo

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

BotPercent: Estimating Bot Populations in Twitter Communities.

Zhaoxuan Tan, Shangbin Feng, Melanie Sclar, Herun Wan, Minnan Luo, Yejin Choi, Yulia Tsvetkov

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

KALM: Knowledge-Aware Integration of Local, Document, and Global Contexts for Long Document Understanding.

Shangbin Feng, Zhaoxuan Tan, Wenqian Zhang, Zhenyu Lei, Yulia Tsvetkov

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

AHEAD: A Triple Attention Based Heterogeneous Graph Anomaly Detection Approach.

Shujie Yang, Binchi Zhang, Shangbin Feng, Zhaoxuan Tan, Qinghua Zheng, Jun Zhou, Minnan Luo

CoRR, 2022

TwiBot-22: Towards Graph-Based Twitter Bot Detection.

Shangbin Feng, Zhaoxuan Tan, Herun Wan, Ningnan Wang, Zilong Chen, Binchi Zhang, Qinghua Zheng, Wenqian Zhang, Zhenyu Lei, Shujie Yang, Xinshun Feng, Qingyue Zhang, Hongrui Wang, Yuhan Liu, Yuyang Bai, Heng Wang, Zijian Cai, Yanbo Wang, Lijing Zheng, Zihan Ma, Jundong Li, Minnan Luo

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

PAR: Political Actor Representation Learning with Social Context and Expert Knowledge.

Shangbin Feng, Zhaoxuan Tan, Zilong Chen, Ningnan Wang, Peisheng Yu, Qinghua Zheng, Xiaojun Chang, Minnan Luo

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Heterogeneity-Aware Twitter Bot Detection with Relational Graph Transformers.

Shangbin Feng, Zhaoxuan Tan, Rui Li, Minnan Luo

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022