Zhaoxuan Tan - RankMe

71 papers A* 11A 3Journal 44Unranked 13

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Agentic Conversational Search with Contextualized Reasoning via Reinforcement Learning. CoRR Fengran Mo, Yifan Gao, Sha Li, Hansi Zeng, Xin Liu, Zhaoxuan Tan, Xian Li, Jianshu Chen, Dakuo Wang, Meng Jiang
2026	J	`jnl`	MTMCS-Bench: Evaluating Contextual Safety of Multimodal Large Language Models in Multi-Turn Dialogues. CoRR Zheyuan Liu, Dongwhi Kim, Yixin Wan, Xiangchi Yuan, Zhaoxuan Tan, Fengran Mo, Meng Jiang
2026	J	`jnl`	MoCo: A One-Stop Shop for Model Collaboration Research. CoRR Shangbin Feng, Yuyang Bai, Ziyuan Yang, Yike Wang, Zhaoxuan Tan, Jiajie Yan, Zhen Lei, Wenxuan Ding, Weijia Shi, Haojin Wang, Zhenting Qi, Yuru Jiang, Heng Wang, Chengsong Huang, Yu Fei, Jihan Yao, Yilun Du, Luke Zettlemoyer, Yejin Choi, Yulia Tsvetkov
2025	J	`jnl`	Adaptive Personalized Conversational Information Retrieval. CoRR Fengran Mo, Yuchen Hui, Yuxing Tian, Zhaoxuan Tan, Chuan Meng, Zhan Su, Kaiyu Huang, Jian-Yun Nie
2025	—	`conf`	Aligning Large Language Models with Implicit Preferences from User-Generated Content. ACL (1) 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
2025	J	`jnl`	Aligning Large Language Models with Implicit Preferences from User-Generated Content. CoRR 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
2025	J	`jnl`	Can Large Language Models Understand Preferences in Personalized Recommendation? CoRR Zhaoxuan Tan, Zinan Zeng, Qingkai Zeng, Zhenyu Wu, Zheyuan Liu, Fengran Mo, Meng Jiang
2025	—	`conf`	CodeTaxo: Enhancing Taxonomy Expansion with Limited Examples via Code Language Prompts. ACL (Findings) Qingkai Zeng, Yuyang Bai, Zhaoxuan Tan, Zhenyu Wu, Shangbin Feng, Meng Jiang
2025	J	`jnl`	DRIFT: Learning from Abundant User Dissatisfaction in Real-World Preference Learning. CoRR Yifan Wang, Bolian Li, Junlin Wu, Zhaoxuan Tan, Zheli Liu, Ruqi Zhang, Ananth Grama, Qingkai Zeng
2025	J	`jnl`	Empirical Guidelines for Deploying LLMs onto Resource-constrained Edge Devices. ACM Trans. Design Autom. Electr. Syst. Ruiyang Qin, Dancheng Liu, Chenhui Xu, Zheyu Yan, Zhaoxuan Tan, Zhenge Jia, Amir Nassereldine, Jiajie Li, Meng Jiang, Ahmed Abbasi, Jinjun Xiong, Yiyu Shi
2025	—	`conf`	Enhancing Mathematical Reasoning in LLMs by Stepwise Correction. ACL (1) Zhenyu Wu, Qingkai Zeng, Zhihan Zhang, Zhaoxuan Tan, Chao Shen, Meng Jiang
2025	J	`jnl`	From Personal to Collective: On the Role of Local and Global Memory in LLM Personalization. CoRR Zehong Wang, Junlin Wu, Zhaoxuan Tan, Bolian Li, Xianrui Zhong, Zheli Liu, Qingkai Zeng
2025	J	`jnl`	Generalizable LLM Learning of Graph Synthetic Data with Reinforcement Learning. CoRR Yizhuo Zhang, Heng Wang, Shangbin Feng, Zhaoxuan Tan, Xinyun Liu, Yulia Tsvetkov
2025	—	`conf`	IHEval: Evaluating Language Models on Following the Instruction Hierarchy. NAACL (Long Papers) 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
2025	J	`jnl`	IHEval: Evaluating Language Models on Following the Instruction Hierarchy. CoRR 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
2025	J	`jnl`	Instant Personalized Large Language Model Adaptation via Hypernetwork. CoRR Zhaoxuan Tan, Zixuan Zhang, Haoyang Wen, Zheng Li, Rongzhi Zhang, Pei Chen, Fengran Mo, Zheyuan Liu, Qingkai Zeng, Qingyu Yin, Meng Jiang
2025	—	`conf`	Modality-Aware Neuron Pruning for Unlearning in Multimodal Large Language Models. ACL (1) Zheyuan Liu, Guangyao Dou, Xiangchi Yuan, Chunhui Zhang, Zhaoxuan Tan, Meng Jiang
2025	J	`jnl`	Modality-Aware Neuron Pruning for Unlearning in Multimodal Large Language Models. CoRR Zheyuan Liu, Guangyao Dou, Xiangchi Yuan, Chunhui Zhang, Zhaoxuan Tan, Meng Jiang
2025	—	`conf`	Protecting Privacy in Multimodal Large Language Models with MLLMU-Bench. NAACL (Long Papers) Zheyuan Liu, Guangyao Dou, Mengzhao Jia, Zhaoxuan Tan, Qingkai Zeng, Yongle Yuan, Meng Jiang
2025	J	`jnl`	Steering Multimodal Large Language Models Decoding for Context-Aware Safety. CoRR Zheyuan Liu, Zhangchen Xu, Guangyao Dou, Xiangchi Yuan, Zhaoxuan Tan, Radha Poovendran, Meng Jiang
2025	A	`conf`	Towards Adaptive Personalized Conversational Information Retrieval. CIKM Fengran Mo, Yuchen Hui, Yuxing Tian, Zhaoxuan Tan, Chuan Meng, Zhan Su, Kaiyu Huang, Jian-Yun Nie
2024	—	`conf`	Can LLM Graph Reasoning Generalize beyond Pattern Memorization? EMNLP (Findings) Yizhuo Zhang, Heng Wang, Shangbin Feng, Zhaoxuan Tan, Xiaochuang Han, Tianxing He, Yulia Tsvetkov
2024	J	`jnl`	Can LLM Graph Reasoning Generalize beyond Pattern Memorization? CoRR Yizhuo Zhang, Heng Wang, Shangbin Feng, Zhaoxuan Tan, Xiaochuang Han, Tianxing He, Yulia Tsvetkov
2024	A	`conf`	Chain-of-Layer: Iteratively Prompting Large Language Models for Taxonomy Induction from Limited Examples. CIKM Qingkai Zeng, Yuyang Bai, Zhaoxuan Tan, Shangbin Feng, Zhenwen Liang, Zhihan Zhang, Meng Jiang
2024	J	`jnl`	Chain-of-Layer: Iteratively Prompting Large Language Models for Taxonomy Induction from Limited Examples. CoRR Qingkai Zeng, Yuyang Bai, Zhaoxuan Tan, Shangbin Feng, Zhenwen Liang, Zhihan Zhang, Meng Jiang
2024	J	`jnl`	CodeTaxo: Enhancing Taxonomy Expansion with Limited Examples via Code Language Prompts. CoRR Qingkai Zeng, Yuyang Bai, Zhaoxuan Tan, Zhenyu Wu, Shangbin Feng, Meng Jiang
2024	—	`conf`	DELL: Generating Reactions and Explanations for LLM-Based Misinformation Detection. ACL (Findings) Herun Wan, Shangbin Feng, Zhaoxuan Tan, Heng Wang, Yulia Tsvetkov, Minnan Luo
2024	J	`jnl`	DELL: Generating Reactions and Explanations for LLM-Based Misinformation Detection. CoRR Herun Wan, Shangbin Feng, Zhaoxuan Tan, Heng Wang, Yulia Tsvetkov, Minnan Luo
2024	A*	`conf`	Democratizing Large Language Models via Personalized Parameter-Efficient Fine-tuning. EMNLP Zhaoxuan Tan, Qingkai Zeng, Yijun Tian, Zheyuan Liu, Bing Yin, Meng Jiang
2024	J	`jnl`	Democratizing Large Language Models via Personalized Parameter-Efficient Fine-tuning. CoRR Zhaoxuan Tan, Qingkai Zeng, Yijun Tian, Zheyuan Liu, Bing Yin, Meng Jiang
2024	J	`jnl`	Empirical Guidelines for Deploying LLMs onto Resource-constrained Edge Devices. CoRR Ruiyang Qin, Dancheng Liu, Zheyu Yan, Zhaoxuan Tan, Zixuan Pan, Zhenge Jia, Meng Jiang, Ahmed Abbasi, Jinjun Xiong, Yiyu Shi
2024	J	`jnl`	Enhancing Mathematical Reasoning in LLMs by Stepwise Correction. CoRR Zhenyu Wu, Qingkai Zeng, Zhihan Zhang, Zhaoxuan Tan, Chao Shen, Meng Jiang
2024	A*	`conf`	KGQuiz: Evaluating the Generalization of Encoded Knowledge in Large Language Models. WWW Yuyang Bai, Shangbin Feng, Vidhisha Balachandran, Zhaoxuan Tan, Shiqi Lou, Tianxing He, Yulia Tsvetkov
2024	—	`conf`	Knowledge Crosswords: Geometric Knowledge Reasoning with Large Language Models. ACL (Findings) Wenxuan Ding, Shangbin Feng, Yuhan Liu, Zhaoxuan Tan, Vidhisha Balachandran, Tianxing He, Yulia Tsvetkov
2024	A	`conf`	LMBot: Distilling Graph Knowledge into Language Model for Graph-less Deployment in Twitter Bot Detection. WSDM Zijian Cai, Zhaoxuan Tan, Zhenyu Lei, Zifeng Zhu, Hongrui Wang, Qinghua Zheng, Minnan Luo
2024	A*	`conf`	Large Language Models Can Self-Correct with Key Condition Verification. EMNLP Zhenyu Wu, Qingkai Zeng, Zhihan Zhang, Zhaoxuan Tan, Chao Shen, Meng Jiang
2024	J	`jnl`	Large Language Models Can Self-Correct with Minimal Effort. CoRR Zhenyu Wu, Qingkai Zeng, Zhihan Zhang, Zhaoxuan Tan, Chao Shen, Meng Jiang
2024	J	`jnl`	Machine Unlearning in Generative AI: A Survey. CoRR Zheyuan Liu, Guangyao Dou, Zhaoxuan Tan, Yijun Tian, Meng Jiang
2024	A*	`conf`	Personalized Pieces: Efficient Personalized Large Language Models through Collaborative Efforts. EMNLP Zhaoxuan Tan, Zheyuan Liu, Meng Jiang
2024	J	`jnl`	Personalized Pieces: Efficient Personalized Large Language Models through Collaborative Efforts. CoRR Zhaoxuan Tan, Zheyuan Liu, Meng Jiang
2024	J	`jnl`	Protecting Privacy in Multimodal Large Language Models with MLLMU-Bench. CoRR Zheyuan Liu, Guangyao Dou, Mengzhao Jia, Zhaoxuan Tan, Qingkai Zeng, Yongle Yuan, Meng Jiang
2024	—	`conf`	Towards Safer Large Language Models through Machine Unlearning. ACL (Findings) Zheyuan Liu, Guangyao Dou, Zhaoxuan Tan, Yijun Tian, Meng Jiang
2024	J	`jnl`	Towards Safer Large Language Models through Machine Unlearning. CoRR Zheyuan Liu, Guangyao Dou, Zhaoxuan Tan, Yijun Tian, Meng Jiang
2024	—	`conf`	What Does the Bot Say? Opportunities and Risks of Large Language Models in Social Media Bot Detection. ACL (1) Shangbin Feng, Herun Wan, Ningnan Wang, Zhaoxuan Tan, Minnan Luo, Yulia Tsvetkov
2024	J	`jnl`	What Does the Bot Say? Opportunities and Risks of Large Language Models in Social Media Bot Detection. CoRR Shangbin Feng, Herun Wan, Ningnan Wang, Zhaoxuan Tan, Minnan Luo, Yulia Tsvetkov
2023	A*	`conf`	BotMoE: Twitter Bot Detection with Community-Aware Mixtures of Modal-Specific Experts. SIGIR Yuhan Liu, Zhaoxuan Tan, Heng Wang, Shangbin Feng, Qinghua Zheng, Minnan Luo
2023	J	`jnl`	BotMoE: Twitter Bot Detection with Community-Aware Mixtures of Modal-Specific Experts. CoRR Yuhan Liu, Zhaoxuan Tan, Heng Wang, Shangbin Feng, Qinghua Zheng, Minnan Luo
2023	—	`conf`	BotPercent: Estimating Bot Populations in Twitter Communities. EMNLP (Findings) Zhaoxuan Tan, Shangbin Feng, Melanie Sclar, Herun Wan, Minnan Luo, Yejin Choi, Yulia Tsvetkov
2023	J	`jnl`	BotPercent: Estimating Twitter Bot Populations from Groups to Crowds. CoRR Zhaoxuan Tan, Shangbin Feng, Melanie Sclar, Herun Wan, Minnan Luo, Yejin Choi, Yulia Tsvetkov
2023	A*	`conf`	Can Language Models Solve Graph Problems in Natural Language? NeurIPS Heng Wang, Shangbin Feng, Tianxing He, Zhaoxuan Tan, Xiaochuang Han, Yulia Tsvetkov
2023	J	`jnl`	Can Language Models Solve Graph Problems in Natural Language? CoRR Heng Wang, Shangbin Feng, Tianxing He, Zhaoxuan Tan, Xiaochuang Han, Yulia Tsvetkov
2023	A*	`conf`	Detecting Spoilers in Movie Reviews with External Movie Knowledge and User Networks. EMNLP Heng Wang, Wenqian Zhang, Yuyang Bai, Zhaoxuan Tan, Shangbin Feng, Qinghua Zheng, Minnan Luo
2023	J	`jnl`	Detecting Spoilers in Movie Reviews with External Movie Knowledge and User Networks. CoRR Heng Wang, Wenqian Zhang, Yuyang Bai, Zhaoxuan Tan, Shangbin Feng, Qinghua Zheng, Minnan Luo
2023	J	`jnl`	GADY: Unsupervised Anomaly Detection on Dynamic Graphs. CoRR Shiqi Lou, Qingyue Zhang, Shujie Yang, Yuyang Tian, Zhaoxuan Tan, Minnan Luo
2023	J	`jnl`	HOFA: Twitter Bot Detection with Homophily-Oriented Augmentation and Frequency Adaptive Attention. CoRR Sen Ye, Zhaoxuan Tan, Zhenyu Lei, Ruijie He, Hongrui Wang, Qinghua Zheng, Minnan Luo
2023	—	`conf`	KALM: Knowledge-Aware Integration of Local, Document, and Global Contexts for Long Document Understanding. ACL (1) Shangbin Feng, Zhaoxuan Tan, Wenqian Zhang, Zhenyu Lei, Yulia Tsvetkov
2023	J	`jnl`	KGQuiz: Evaluating the Generalization of Encoded Knowledge in Large Language Models. CoRR Yuyang Bai, Shangbin Feng, Vidhisha Balachandran, Zhaoxuan Tan, Shiqi Lou, Tianxing He, Yulia Tsvetkov
2023	A*	`conf`	KRACL: Contrastive Learning with Graph Context Modeling for Sparse Knowledge Graph Completion. WWW Zhaoxuan Tan, Zilong Chen, Shangbin Feng, Qingyue Zhang, Qinghua Zheng, Jundong Li, Minnan Luo
2023	J	`jnl`	Knowledge Crosswords: Geometric Reasoning over Structured Knowledge with Large Language Models. CoRR Wenxuan Ding, Shangbin Feng, Yuhan Liu, Zhaoxuan Tan, Vidhisha Balachandran, Tianxing He, Yulia Tsvetkov
2023	J	`jnl`	LMBot: Distilling Graph Knowledge into Language Model for Graph-less Deployment in Twitter Bot Detection. CoRR Zijian Cai, Zhaoxuan Tan, Zhenyu Lei, Hongrui Wang, Zifeng Zhu, Qinghua Zheng, Minnan Luo
2023	J	`jnl`	User Modeling in the Era of Large Language Models: Current Research and Future Directions. CoRR Zhaoxuan Tan, Meng Jiang
2023	J	`jnl`	User Modeling in the Era of Large Language Models: Current Research and Future Directions. IEEE Data Eng. Bull. Zhaoxuan Tan, Meng Jiang
2022	J	`jnl`	AHEAD: A Triple Attention Based Heterogeneous Graph Anomaly Detection Approach. CoRR Shujie Yang, Binchi Zhang, Shangbin Feng, Zhaoxuan Tan, Qinghua Zheng, Jun Zhou, Minnan Luo
2022	A*	`conf`	Heterogeneity-Aware Twitter Bot Detection with Relational Graph Transformers. AAAI Shangbin Feng, Zhaoxuan Tan, Rui Li, Minnan Luo
2022	J	`jnl`	KALM: Knowledge-Aware Integration of Local, Document, and Global Contexts for Long Document Understanding. CoRR Shangbin Feng, Zhaoxuan Tan, Wenqian Zhang, Zhenyu Lei, Yulia Tsvetkov
2022	J	`jnl`	KRACL: Contrastive Learning with Graph Context Modeling for Sparse Knowledge Graph Completion. CoRR Zhaoxuan Tan, Zilong Chen, Shangbin Feng, Qingyue Zhang, Qinghua Zheng, Jundong Li, Minnan Luo
2022	A*	`conf`	PAR: Political Actor Representation Learning with Social Context and Expert Knowledge. EMNLP Shangbin Feng, Zhaoxuan Tan, Zilong Chen, Ningnan Wang, Peisheng Yu, Qinghua Zheng, Xiaojun Chang, Minnan Luo
2022	J	`jnl`	PAR: Political Actor Representation Learning with Social Context and Expert Knowledge. CoRR Shangbin Feng, Zhaoxuan Tan, Zilong Chen, Ningnan Wang, Peisheng Yu, Qinghua Zheng, Xiaojun Chang, Minnan Luo
2022	A*	`conf`	TwiBot-22: Towards Graph-Based Twitter Bot Detection. NeurIPS 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
2022	J	`jnl`	TwiBot-22: Towards Graph-Based Twitter Bot Detection. CoRR 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
2021	J	`jnl`	Heterogeneity-aware Twitter Bot Detection with Relational Graph Transformers. CoRR Shangbin Feng, Zhaoxuan Tan, Rui Li, Minnan Luo