Heterogeneity-Aware Twitter Bot Detection with Relational Graph Transformers. - Shangbin Feng; Zhaoxuan Tan; Rui Li; Minnan Luo (AAAI, 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 (EMNLP, 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 004; Shujie Yang; Xinshun Feng; Qingyue Zhang; et al. (NeurIPS, 2022)

AHEAD: A Triple Attention Based Heterogeneous Graph Anomaly Detection Approach. - Shujie Yang; Binchi Zhang; Shangbin Feng; Zhaoxuan Tan; Qinghua Zheng; Jun Zhou 011; Minnan Luo (CoRR, 2022)

KALM: Knowledge-Aware Integration of Local, Document, and Global Contexts for Long Document Understanding. - Shangbin Feng; Zhaoxuan Tan; Wenqian Zhang; Zhenyu Lei 004; Yulia Tsvetkov (ACL (1), 2023)

BotPercent: Estimating Bot Populations in Twitter Communities. - Zhaoxuan Tan; Shangbin Feng; Melanie Sclar; Herun Wan; Minnan Luo; Yejin Choi 001; Yulia Tsvetkov (EMNLP (Findings), 2023)

Detecting Spoilers in Movie Reviews with External Movie Knowledge and User Networks. - Heng Wang 008; Wenqian Zhang; Yuyang Bai; Zhaoxuan Tan; Shangbin Feng; Qinghua Zheng; Minnan Luo (EMNLP, 2023)

Can Language Models Solve Graph Problems in Natural Language? - Heng Wang 008; Shangbin Feng; Tianxing He; Zhaoxuan Tan; Xiaochuang Han; Yulia Tsvetkov (NeurIPS, 2023)

BotMoE: Twitter Bot Detection with Community-Aware Mixtures of Modal-Specific Experts. - Yuhan Liu; Zhaoxuan Tan; Heng Wang 008; Shangbin Feng; Qinghua Zheng; Minnan Luo (SIGIR, 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 (WWW, 2023)

BotPercent: Estimating Twitter Bot Populations from Groups to Crowds. - Zhaoxuan Tan; Shangbin Feng; Melanie Sclar; Herun Wan; Minnan Luo; Yejin Choi 001; Yulia Tsvetkov (CoRR, 2023)

HOFA: Twitter Bot Detection with Homophily-Oriented Augmentation and Frequency Adaptive Attention. - Sen Ye; Zhaoxuan Tan; Zhenyu Lei 004; Ruijie He; Hongrui Wang 004; Qinghua Zheng; Minnan Luo (CoRR, 2023)

Knowledge Crosswords: Geometric Reasoning over Structured Knowledge with Large Language Models. - Wenxuan Ding 001; Shangbin Feng; Yuhan Liu; Zhaoxuan Tan; Vidhisha Balachandran; Tianxing He; Yulia Tsvetkov (CoRR, 2023)

GADY: Unsupervised Anomaly Detection on Dynamic Graphs. - Shiqi Lou; Qingyue Zhang; Shujie Yang; Yuyang Tian; Zhaoxuan Tan; Minnan Luo (CoRR, 2023)

User Modeling in the Era of Large Language Models: Current Research and Future Directions. - Zhaoxuan Tan; Meng Jiang 001 (IEEE Data Eng. Bull., 2023)

Knowledge Crosswords: Geometric Knowledge Reasoning with Large Language Models. - Wenxuan Ding 001; Shangbin Feng; Yuhan Liu; Zhaoxuan Tan; Vidhisha Balachandran; Tianxing He; Yulia Tsvetkov (ACL (Findings), 2024)

Towards Safer Large Language Models through Machine Unlearning. - Zheyuan Liu 010; Guangyao Dou; Zhaoxuan Tan; Yijun Tian 001; Meng Jiang 001 (ACL (Findings), 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 (ACL (1), 2024)

DELL: Generating Reactions and Explanations for LLM-Based Misinformation Detection. - Herun Wan; Shangbin Feng; Zhaoxuan Tan; Heng Wang 008; Yulia Tsvetkov; Minnan Luo (ACL (Findings), 2024)

Chain-of-Layer: Iteratively Prompting Large Language Models for Taxonomy Induction from Limited Examples. - Qingkai Zeng 001; Yuyang Bai; Zhaoxuan Tan; Shangbin Feng; Zhenwen Liang; Zhihan Zhang 001; Meng Jiang 001 (CIKM, 2024)

Large Language Models Can Self-Correct with Key Condition Verification. - Zhenyu Wu 004; Qingkai Zeng 001; Zhihan Zhang 001; Zhaoxuan Tan; Chao Shen; Meng Jiang 001 (EMNLP, 2024)

Democratizing Large Language Models via Personalized Parameter-Efficient Fine-tuning. - Zhaoxuan Tan; Qingkai Zeng 001; Yijun Tian 001; Zheyuan Liu 010; Bing Yin; Meng Jiang 001 (EMNLP, 2024)

Personalized Pieces: Efficient Personalized Large Language Models through Collaborative Efforts. - Zhaoxuan Tan; Zheyuan Liu 010; Meng Jiang 001 (EMNLP, 2024)

Can LLM Graph Reasoning Generalize beyond Pattern Memorization? - Yizhuo Zhang 001; Heng Wang 008; Shangbin Feng; Zhaoxuan Tan; Xiaochuang Han; Tianxing He; Yulia Tsvetkov (EMNLP (Findings), 2024)

LMBot: Distilling Graph Knowledge into Language Model for Graph-less Deployment in Twitter Bot Detection. - Zijian Cai; Zhaoxuan Tan; Zhenyu Lei 004; Zifeng Zhu; Hongrui Wang 004; Qinghua Zheng; Minnan Luo (WSDM, 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 (WWW, 2024)

Large Language Models Can Self-Correct with Minimal Effort. - Zhenyu Wu 004; Qingkai Zeng 001; Zhihan Zhang 001; Zhaoxuan Tan; Chao Shen; Meng Jiang 001 (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 001; Ahmed Abbasi; Jinjun Xiong; Yiyu Shi 001 (CoRR, 2024)

Machine Unlearning in Generative AI: A Survey. - Zheyuan Liu 010; Guangyao Dou; Zhaoxuan Tan; Yijun Tian 001; Meng Jiang 001 (CoRR, 2024)

CodeTaxo: Enhancing Taxonomy Expansion with Limited Examples via Code Language Prompts. - Qingkai Zeng 001; Yuyang Bai; Zhaoxuan Tan; Zhenyu Wu 004; Shangbin Feng; Meng Jiang 001 (ACL (Findings), 2025)

Enhancing Mathematical Reasoning in LLMs by Stepwise Correction. - Zhenyu Wu 004; Qingkai Zeng 001; Zhihan Zhang 001; Zhaoxuan Tan; Chao Shen; Meng Jiang 001 (ACL (1), 2025)

Modality-Aware Neuron Pruning for Unlearning in Multimodal Large Language Models. - Zheyuan Liu 010; Guangyao Dou; Xiangchi Yuan; Chunhui Zhang; Zhaoxuan Tan; Meng Jiang 001 (ACL (1), 2025)

Aligning Large Language Models with Implicit Preferences from User-Generated Content. - Zhaoxuan Tan; Zheng Li 018; Tianyi Liu; Haodong Wang; Hyokun Yun; Ming Zeng 001; Pei Chen; Zhihan Zhang 001; Yifan Gao 001; Ruijie Wang 004; Priyanka Nigam; Bing Yin; et al. (ACL (1), 2025)

Protecting Privacy in Multimodal Large Language Models with MLLMU-Bench. - Zheyuan Liu 010; Guangyao Dou; Mengzhao Jia; Zhaoxuan Tan; Qingkai Zeng 001; Yongle Yuan; Meng Jiang 001 (NAACL (Long Papers), 2025)

IHEval: Evaluating Language Models on Following the Instruction Hierarchy. - Zhihan Zhang 001; Shiyang Li; Zixuan Zhang; Xin Liu 039; Haoming Jiang; Xianfeng Tang; Yifan Gao 001; Zheng Li 018; Haodong Wang; Zhaoxuan Tan; Yichuan Li 001; Qingyu Yin; et al. (NAACL (Long Papers), 2025)

Can Large Language Models Understand Preferences in Personalized Recommendation? - Zhaoxuan Tan; Zinan Zeng; Qingkai Zeng 001; Zhenyu Wu 004; Zheyuan Liu 010; Fengran Mo; Meng Jiang 001 (CoRR, 2025)

Generalizable LLM Learning of Graph Synthetic Data with Reinforcement Learning. - Yizhuo Zhang 001; Heng Wang 008; Shangbin Feng; Zhaoxuan Tan; Xinyun Liu; Yulia Tsvetkov (CoRR, 2025)

Adaptive Personalized Conversational Information Retrieval. - Fengran Mo; Yuchen Hui; Yuxing Tian; Zhaoxuan Tan; Chuan Meng; Zhan Su 002; Kaiyu Huang; Jian-Yun Nie (CoRR, 2025)