Zhaoxuan Tan
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
30
Venues
8
Active years
2022–2026
Best venue rank
A*
Where they publish
Papers
30 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | MTMCS-Bench: Evaluating Contextual Safety of Multimodal Large Language Models in Multi-Turn Dialogues. | Zheyuan Liu, Dongwhi Kim, Yixin Wan, Xiangchi Yuan, Zhaoxuan Tan, Fengran Mo, Meng Jiang |
| 2026 | ACL | Agentic Conversational Search with Contextualized Reasoning via Reinforcement Learning. | Fengran Mo, Yifan Gao, Sha Li, Hansi Zeng, Xin Liu, Zhaoxuan Tan, Xian Li, Jianshu Chen, Dakuo Wang, Meng Jiang |
| 2026 | ACL | Instant Personalized Large Language Model Adaptation via Hypernetwork. | Zhaoxuan Tan, Zixuan Zhang, Haoyang Wen, Zheng Li, Rongzhi Zhang, Pei Chen, Fengran Mo, Zheyuan Liu, Qingkai Zeng, Qingyu Yin, Meng Jiang |
| 2026 | ACL | From Personal to Collective: On the Role of Local and Global Knowledge in LLM Personalization. | Zehong Wang, Junlin Wu, Zhaoxuan Tan, Bolian Li, Xianrui Zhong, Zheli Liu, Qingkai Zeng |
| 2026 | ACL | Generalizable LLM Learning of Graph Synthetic Data with Post-training Alignment. | Yizhuo Zhang, Heng Wang, Shangbin Feng, Zhaoxuan Tan, Xinyun Liu, Yulia Tsvetkov |
| 2025 | ACL | CodeTaxo: Enhancing Taxonomy Expansion with Limited Examples via Code Language Prompts. | Qingkai Zeng, Yuyang Bai, Zhaoxuan Tan, Zhenyu Wu, Shangbin Feng, Meng Jiang |
| 2025 | ACL | Enhancing Mathematical Reasoning in LLMs by Stepwise Correction. | Zhenyu Wu, Qingkai Zeng, Zhihan Zhang, Zhaoxuan Tan, Chao Shen, Meng Jiang |
| 2025 | ACL | Modality-Aware Neuron Pruning for Unlearning in Multimodal Large Language Models. | Zheyuan Liu, Guangyao Dou, Xiangchi Yuan, Chunhui Zhang, Zhaoxuan Tan, Meng Jiang |
| 2025 | ACL | 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 |
| 2025 | CIKM | Towards Adaptive Personalized Conversational Information Retrieval. | Fengran Mo, Yuchen Hui, Yuxing Tian, Zhaoxuan Tan, Chuan Meng, Zhan Su, Kaiyu Huang, Jian-Yun Nie |
| 2025 | NAACL | Protecting Privacy in Multimodal Large Language Models with MLLMU-Bench. | Zheyuan Liu, Guangyao Dou, Mengzhao Jia, Zhaoxuan Tan, Qingkai Zeng, Yongle Yuan, Meng Jiang |
| 2025 | NAACL | 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 |
| 2024 | ACL | Knowledge Crosswords: Geometric Knowledge Reasoning with Large Language Models. | Wenxuan Ding, Shangbin Feng, Yuhan Liu, Zhaoxuan Tan, Vidhisha Balachandran, Tianxing He, Yulia Tsvetkov |
| 2024 | ACL | Towards Safer Large Language Models through Machine Unlearning. | Zheyuan Liu, Guangyao Dou, Zhaoxuan Tan, Yijun Tian, Meng Jiang |
| 2024 | ACL | 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 |
| 2024 | ACL | DELL: Generating Reactions and Explanations for LLM-Based Misinformation Detection. | Herun Wan, Shangbin Feng, Zhaoxuan Tan, Heng Wang, Yulia Tsvetkov, Minnan Luo |
| 2024 | CIKM | 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 |
| 2024 | EMNLP | Large Language Models Can Self-Correct with Key Condition Verification. | Zhenyu Wu, Qingkai Zeng, Zhihan Zhang, Zhaoxuan Tan, Chao Shen, Meng Jiang |
| 2024 | EMNLP | Democratizing Large Language Models via Personalized Parameter-Efficient Fine-tuning. | Zhaoxuan Tan, Qingkai Zeng, Yijun Tian, Zheyuan Liu, Bing Yin, Meng Jiang |
| 2024 | EMNLP | Personalized Pieces: Efficient Personalized Large Language Models through Collaborative Efforts. | Zhaoxuan Tan, Zheyuan Liu, Meng Jiang |
| 2024 | EMNLP | Can LLM Graph Reasoning Generalize beyond Pattern Memorization? | Yizhuo Zhang, Heng Wang, Shangbin Feng, Zhaoxuan Tan, Xiaochuang Han, Tianxing He, Yulia Tsvetkov |
| 2024 | WWW | 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 |
| 2024 | WSDM | 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 |
| 2023 | ACL | KALM: Knowledge-Aware Integration of Local, Document, and Global Contexts for Long Document Understanding. | Shangbin Feng, Zhaoxuan Tan, Wenqian Zhang, Zhenyu Lei, Yulia Tsvetkov |
| 2023 | EMNLP | BotPercent: Estimating Bot Populations in Twitter Communities. | Zhaoxuan Tan, Shangbin Feng, Melanie Sclar, Herun Wan, Minnan Luo, Yejin Choi, Yulia Tsvetkov |
| 2023 | EMNLP | 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 |
| 2023 | WWW | 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 |
| 2023 | SIGIR | BotMoE: Twitter Bot Detection with Community-Aware Mixtures of Modal-Specific Experts. | Yuhan Liu, Zhaoxuan Tan, Heng Wang, Shangbin Feng, Qinghua Zheng, Minnan Luo |
| 2022 | AAAI | Heterogeneity-Aware Twitter Bot Detection with Relational Graph Transformers. | Shangbin Feng, Zhaoxuan Tan, Rui Li, Minnan Luo |
| 2022 | EMNLP | 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 |