Zhen Tan

According to our database, Zhen Tan authored at least 69 papers between 2022 and 2025.

Collaborative distances:

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

2025

Transferring Expert Cognitive Models to Social Robots via Agentic Concept Bottleneck Models.

Xinyu Zhao, Zhen Tan, Maya Enisman, Minjae Seo, Marta R. Durantini, Dolores Albarracin, Tianlong Chen

CoRR, August, 2025

Are Today's LLMs Ready to Explain Well-Being Concepts?

Bohan Jiang, Dawei Li, Zhen Tan, Chengshuai Zhao, Huan Liu

CoRR, August, 2025

Is Chain-of-Thought Reasoning of LLMs a Mirage? A Data Distribution Lens.

Chengshuai Zhao, Zhen Tan, Pingchuan Ma, Dawei Li, Bohan Jiang, Yancheng Wang, Yingzhen Yang, Huan Liu

CoRR, August, 2025

Model Editing as a Double-Edged Sword: Steering Agent Ethical Behavior Toward Beneficence or Harm.

Baixiang Huang, Zhen Tan, Haoran Wang, Zijie Liu, Dawei Li, Ali Payani, Huan Liu, Tianlong Chen, Kai Shu

CoRR, June, 2025

AnyMAC: Cascading Flexible Multi-Agent Collaboration via Next-Agent Prediction.

Song Wang, Zhen Tan, Zihan Chen, Shuang Zhou, Tianlong Chen, Jundong Li

CoRR, June, 2025

EQA-RM: A Generative Embodied Reward Model with Test-time Scaling.

Yuhang Chen, Zhen Tan, Tianlong Chen

CoRR, June, 2025

IndustryEQA: Pushing the Frontiers of Embodied Question Answering in Industrial Scenarios.

Yifan Li, Yuhang Chen, Anh Dao, Lichi Li, Zhongyi Cai, Zhen Tan, Tianlong Chen, Yu Kong

CoRR, May, 2025

DOGe: Defensive Output Generation for LLM Protection Against Knowledge Distillation.

Pingzhi Li, Zhen Tan, Huaizhi Qu, Huan Liu, Tianlong Chen

CoRR, May, 2025

The Quest for Efficient Reasoning: A Data-Centric Benchmark to CoT Distillation.

Ruichen Zhang, Rana Muhammad Shahroz Khan, Zhen Tan, Dawei Li, Song Wang, Tianlong Chen

CoRR, May, 2025

MAPLE: Many-Shot Adaptive Pseudo-Labeling for In-Context Learning.

Zihan Chen, Song Wang, Zhen Tan, Jundong Li, Cong Shen

CoRR, May, 2025

Efficient MAP Estimation of LLM Judgment Performance with Prior Transfer.

Huaizhi Qu, Inyoung Choi, Zhen Tan, Song Wang, Sukwon Yun, Qi Long, Faizan Siddiqui, Kwonjoon Lee, Tian-Long Chen

CoRR, April, 2025

Are We Merely Justifying Results ex Post Facto? Quantifying Explanatory Inversion in Post-Hoc Model Explanations.

Zhen Tan, Song Wang, Yifan Li, Yu Kong, Jundong Li, Tianlong Chen, Huan Liu

CoRR, April, 2025

A Survey of Scaling in Large Language Model Reasoning.

Zihan Chen, Song Wang, Zhen Tan, Xingbo Fu, Zhen Lei, Peng Wang, Huan Liu, Cong Shen, Jundong Li

CoRR, April, 2025

LightDefense: A Lightweight Uncertainty-Driven Defense against Jailbreaks via Shifted Token Distribution.

Zhuoran Yang, Jie Peng, Zhen Tan, Tianlong Chen, Yanyong Zhang

CoRR, April, 2025

Agents Under Siege: Breaking Pragmatic Multi-Agent LLM Systems with Optimized Prompt Attacks.

Rana Muhammad Shahroz Khan, Zhen Tan, Sukwon Yun, Charles Fleming, Tianlong Chen

CoRR, April, 2025

Symbiotic Cooperation for Web Agents: Harnessing Complementary Strengths of Large and Small LLMs.

Ruichen Zhang, Mufan Qiu, Zhen Tan, Mohan Zhang, Vincent Lu, Jie Peng, Kaidi Xu, Leandro Z. Agudelo, Peter Qian, Tianlong Chen

CoRR, February, 2025

CAND: Cross-Domain Ambiguity Inference for Early Detecting Nuanced Illness Deterioration.

Lo Pang-Yun Ting, Zhen Tan, Hong-Pei Chen, Cheng-Te Li, Po-Lin Chen, Kun-Ta Chuang, Huan Liu

CoRR, January, 2025

Visual Large Language Models for Generalized and Specialized Applications.

Yifan Li, Zhixin Lai, Wentao Bao, Zhen Tan, Anh Dao, Kewei Sui, Jiayi Shen, Dong Liu, Huan Liu, Yu Kong

CoRR, January, 2025

Generative Risk Minimization for Out-of-Distribution Generalization on Graphs.

Song Wang, Zhen Tan, Yaochen Zhu, Chuxu Zhang, Jundong Li

Trans. Mach. Learn. Res., 2025

A natural language processing-based approach for early detection of heart failure onset using electronic health records.

Yuxi Liu, Zhen Tan, Zhenhao Zhang, Song Wang, Jingchuan Guo, Huan Liu, Tianlong Chen, Jiang Bian

Knowl. Based Syst., 2025

SMoA: Improving Multi-agent Large Language Models with Sparse Mixture-of-Agents.

Dawei Li, Zhen Tan, Peijia Qian, Yifan Li, Kumar Satvik Chaudhary, Lijie Hu, Jiayi Shen

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2025

<i>MerRec: </i> A Large-scale Multipurpose Mercari Dataset for Consumer-to-Consumer Recommendation Systems.

Lichi Li, Zainul Abi Din, Zhen Tan, Sam London, Tianlong Chen, Ajay H. Daptardar

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025

CEB: Compositional Evaluation Benchmark for Fairness in Large Language Models.

Song Wang, Peng Wang, Tong Zhou, Yushun Dong, Zhen Tan, Jundong Li

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Thought Graph: Balancing Specificity and Uncertainty in LLM-Based Gene Set Annotation.

Kyle Cox, Gang Qu, Chi-Yang Hsu, Jiawei Xu, Yingtong Zhou, Zhen Tan, Mengzhou Hu, Tianlong Chen, Ziniu Hu, Zhongming Zhao, Ying Ding

Proceedings of the 13th IEEE International Conference on Healthcare Informatics, 2025

Window Token Concatenation for Efficient Visual Large Language Models.

Yifan Li, Wentao Bao, Botao Ye, Zhen Tan, Tianlong Chen, Huan Liu, Yu Kong

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2025

SCALE: Towards Collaborative Content Analysis in Social Science with Large Language Model Agents and Human Intervention.

Chengshuai Zhao, Zhen Tan, Chau-Wai Wong, Xinyan Zhao, Tianlong Chen, Huan Liu

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

Agents Under Siege: Breaking Pragmatic Multi-Agent LLM Systems with Optimized Prompt Attacks.

Rana Muhammad Shahroz, Zhen Tan, Sukwon Yun, Charles Fleming, Tianlong Chen

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

In Prospect and Retrospect: Reflective Memory Management for Long-term Personalized Dialogue Agents.

Zhen Tan, Jun Yan, I-Hung Hsu, Rujun Han, Zifeng Wang, Long T. Le, Yiwen Song, Yanfei Chen, Hamid Palangi, George Lee, Anand Rajan Iyer, Tianlong Chen, Huan Liu, Chen-Yu Lee, Tomas Pfister

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

BrainMAP: Learning Multiple Activation Pathways in Brain Networks.

Song Wang, Zhenyu Lei, Zhen Tan, Jiaqi Ding, Xinyu Zhao, Yushun Dong, Guorong Wu, Tianlong Chen, Chen Chen, Aiying Zhang, Jundong Li

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

Tuning-Free Accountable Intervention for LLM Deployment - a Metacognitive Approach.

Zhen Tan, Jie Peng, Song Wang, Lijie Hu, Tianlong Chen, Huan Liu

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

Exploring Large Language Models for Feature Selection: A Data-centric Perspective.

Dawei Li, Zhen Tan, Huan Liu

SIGKDD Explor., December, 2024

BlueTempNet: A Temporal Multi-network Dataset of Social Interactions in Bluesky Social.

Ujun Jeong, Bohan Jiang, Zhen Tan, H. Russell Bernard, Huan Liu

Dataset, October, 2024

Ontology-Aware RAG for Improved Question-Answering in Cybersecurity Education.

Chengshuai Zhao, Garima Agrawal, Tharindu Kumarage, Zhen Tan, Yuli Deng, Ying-Chih Chen, Huan Liu

CoRR, 2024

Assessing the Impact of Conspiracy Theories Using Large Language Models.

Bohan Jiang, Dawei Li, Zhen Tan, Xinyi Zhou, Ashwin Rao, Kristina Lerman, H. Russell Bernard, Huan Liu

CoRR, 2024

From Generation to Judgment: Opportunities and Challenges of LLM-as-a-judge.

Dawei Li, Bohan Jiang, Liangjie Huang, Alimohammad Beigi, Chengshuai Zhao, Zhen Tan, Amrita Bhattacharjee, Yuxuan Jiang, Canyu Chen, Tianhao Wu, Kai Shu, Lu Cheng, Huan Liu

CoRR, 2024

FairSkin: Fair Diffusion for Skin Disease Image Generation.

Ruichen Zhang, Yuguang Yao, Zhen Tan, Zhiming Li, Pan Wang, Huan Liu, Jingtong Hu, Sijia Liu, Tianlong Chen

CoRR, 2024

LRQ-Fact: LLM-Generated Relevant Questions for Multimodal Fact-Checking.

Alimohammad Beigi, Bohan Jiang, Dawei Li, Tharindu Kumarage, Zhen Tan, Pouya Shaeri, Huan Liu

CoRR, 2024

Knowledge-Driven Feature Selection and Engineering for Genotype Data with Large Language Models.

Joseph Lee, Shu Yang, Jae Young Baik, Xiaoxi Liu, Zhen Tan, Dawei Li, Zixuan Wen, Bojian Hou, Duy Duong-Tran, Tianlong Chen, Li Shen

CoRR, 2024

Model Attribution in Machine-Generated Disinformation: A Domain Generalization Approach with Supervised Contrastive Learning.

Alimohammad Beigi, Zhen Tan, Nivedh Mudiam, Canyu Chen, Kai Shu, Huan Liu

CoRR, 2024

BlueTempNet: A Temporal Multi-network Dataset of Social Interactions in Bluesky Social.

Ujun Jeong, Bohan Jiang, Zhen Tan, H. Russell Bernard, Huan Liu

CoRR, 2024

DLO: Dynamic Layer Operation for Efficient Vertical Scaling of LLMs.

Zhen Tan, Daize Dong, Xinyu Zhao, Jie Peng, Yu Cheng, Tianlong Chen

CoRR, 2024

Tuning-Free Accountable Intervention for LLM Deployment - A Metacognitive Approach.

Zhen Tan, Jie Peng, Tianlong Chen, Huan Liu

CoRR, 2024

GraphRCG: Self-conditioned Graph Generation via Bootstrapped Representations.

Song Wang, Zhen Tan, Xinyu Zhao, Tianlong Chen, Huan Liu, Jundong Li

CoRR, 2024

The Wolf Within: Covert Injection of Malice into MLLM Societies via an MLLM Operative.

Zhen Tan, Chengshuai Zhao, Raha Moraffah, Yifan Li, Yu Kong, Tianlong Chen, Huan Liu

CoRR, 2024

MerRec: A Large-scale Multipurpose Mercari Dataset for Consumer-to-Consumer Recommendation Systems.

Lichi Li, Zainul Abi Din, Zhen Tan, Sam London, Tianlong Chen, Ajay H. Daptardar

CoRR, 2024

Large Language Models for Data Annotation: A Survey.

Zhen Tan, Alimohammad Beigi, Song Wang, Ruocheng Guo, Amrita Bhattacharjee, Bohan Jiang, Mansooreh Karami, Jundong Li, Lu Cheng, Huan Liu

CoRR, 2024

Thought Graph: Generating Thought Process for Biological Reasoning.

Chi-Yang Hsu, Kyle Cox, Jiawei Xu, Zhen Tan, Tianhua Zhai, Mengzhou Hu, Dexter Pratt, Tianlong Chen, Ziniu Hu, Ying Ding

Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

Label Distribution Learning-Enhanced Dual-KNN for Text Classification.

Bo Yuan, Yulin Chen, Zhen Tan, Jinyan Wang, Huan Liu, Yin Zhang

Proceedings of the 2024 SIAM International Conference on Data Mining, 2024

Disinformation Detection: An Evolving Challenge in the Age of LLMs.

Bohan Jiang, Zhen Tan, Ayushi Nirmal, Huan Liu

Proceedings of the 2024 SIAM International Conference on Data Mining, 2024

Interpreting Pretrained Language Models via Concept Bottlenecks.

Zhen Tan, Lu Cheng, Song Wang, Bo Yuan, Jundong Li, Huan Liu

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2024

Path-RAG: Knowledge-Guided Key Region Retrieval for Open-ended Pathology Visual Question Answering.

Awais Naeem, Tianhao Li, Huang-Ru Liao, Jiawei Xu, Aby M. Mathew, Zehao Zhu, Zhen Tan, Ajay Kumar Jaiswal, Raffi A. Salibian, Ziniu Hu, Tianlong Chen, Ying Ding

Proceedings of the Machine Learning for Health, 2024

Glue pizza and eat rocks - Exploiting Vulnerabilities in Retrieval-Augmented Generative Models.

Zhen Tan, Chengshuai Zhao, Raha Moraffah, Yifan Li, Song Wang, Jundong Li, Tianlong Chen, Huan Liu

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

Large Language Models for Data Annotation and Synthesis: A Survey.

Zhen Tan, Dawei Li, Song Wang, Alimohammad Beigi, Bohan Jiang, Amrita Bhattacharjee, Mansooreh Karami, Jundong Li, Lu Cheng, Huan Liu

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

DALK: Dynamic Co-Augmentation of LLMs and KG to answer Alzheimer's Disease Questions with Scientific Literature.

Dawei Li, Shu Yang, Zhen Tan, Jae Young Baik, Sukwon Yun, Joseph Lee, Aaron Chacko, Bojian Hou, Duy Duong-Tran, Ying Ding, Huan Liu, Li Shen, Tianlong Chen

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

Facial Affective Behavior Analysis with Instruction Tuning.

Yifan Li, Anh Dao, Wentao Bao, Zhen Tan, Tianlong Chen, Huan Liu, Yu Kong

Proceedings of the Computer Vision - ECCV 2024, 2024

Contextualization Distillation from Large Language Model for Knowledge Graph Completion.

Dawei Li, Zhen Tan, Tianlong Chen, Huan Liu

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

Media Bias Matters: Understanding the Impact of Politically Biased News on Vaccine Attitudes in Social Media.

Bohan Jiang, Lu Cheng, Zhen Tan, Ruocheng Guo, Huan Liu

Proceedings of the 11th IEEE International Conference on Data Science and Advanced Analytics, 2024

Model Attribution in LLM-Generated Disinformation: A Domain Generalization Approach with Supervised Contrastive Learning.

Alimohammad Beigi, Zhen Tan, Nivedh Mudiam, Canyu Chen, Kai Shu, Huan Liu

Proceedings of the 11th IEEE International Conference on Data Science and Advanced Analytics, 2024

Catching Chameleons: Detecting Evolving Disinformation Generated using Large Language Models.

Bohan Jiang, Chengshuai Zhao, Zhen Tan, Huan Liu

Proceedings of the 6th IEEE International Conference on Cognitive Machine Intelligence, 2024

Sparsity-Guided Holistic Explanation for LLMs with Interpretable Inference-Time Intervention.

Zhen Tan, Tianlong Chen, Zhenyu Zhang, Huan Liu

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Interpreting Pretrained Language Models via Concept Bottlenecks.

Zhen Tan, Lu Cheng, Song Wang, Yuan Bo, Jundong Li, Huan Liu

CoRR, 2023

Inductive Linear Probing for Few-Shot Node Classification.

Hirthik Mathavan, Zhen Tan, Nivedh Mudiam, Huan Liu

Proceedings of the Social, Cultural, and Behavioral Modeling, 2023

Contrastive Meta-Learning for Few-shot Node Classification.

Song Wang, Zhen Tan, Huan Liu, Jundong Li

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Virtual Node Tuning for Few-shot Node Classification.

Zhen Tan, Ruocheng Guo, Kaize Ding, Huan Liu

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Noise-Robust Fine-Tuning of Pretrained Language Models via External Guidance.

Song Wang, Zhen Tan, Ruocheng Guo, Jundong Li

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

2022

A Simple Yet Effective Pretraining Strategy for Graph Few-shot Learning.

Zhen Tan, Kaize Ding, Ruocheng Guo, Huan Liu

CoRR, 2022

Graph Few-shot Class-incremental Learning.

Zhen Tan, Kaize Ding, Ruocheng Guo, Huan Liu

Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

Supervised Graph Contrastive Learning for Few-Shot Node Classification.

Zhen Tan, Kaize Ding, Ruocheng Guo, Huan Liu

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

Transductive Linear Probing: A Novel Framework for Few-Shot Node Classification.

Zhen Tan, Song Wang, Kaize Ding, Jundong Li, Huan Liu

Proceedings of the Learning on Graphs Conference, 2022