Caverlee, James

Uncovering social spammers: social honeypots + machine learning

Lee, K., Caverlee, J., & Webb, S. (2010) · Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval

Spam and Phishing DetectionMisinformation and Its Impacts

Cited by 619

The social honeypot project: protecting online communities from spammers

Lee, K., Caverlee, J., & Webb, S. (2010) · Proceedings of the 19th international conference on World wide web

Spam and Phishing DetectionMisinformation and Its Impacts

Cited by 106

Popularity Bias in Dynamic Recommendation

Zhu, Z., He, Y., Zhao, X., & Caverlee, J. (2021) · Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining

Recommender Systems and TechniquesEthics and Social Impacts of AI

Cited by 82

Combating Crowdsourced Review Manipulators: A Neighborhood-Based Approach

Kaghazgaran, P., Caverlee, J., & Squicciarini, A. (2018) · Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining

Spam and Phishing DetectionMisinformation and Its Impacts

Cited by 59

Disclosure and Mitigation of Gender Bias in LLMs

Dong, X., Wang, Y., Yu, P. S., & Caverlee, J. (2024) · arXiv

Ethics and Social Impacts of AITopic Modeling

Cited by 7

KG-Rank: Enhancing Large Language Models for Medical QA with Knowledge Graphs and Ranking Techniques

Yang, R., Liu, H., Marrese-Taylor, E., Zeng, Q., Ke, Y. H., Li, W., Cheng, L., Chen, Q., Caverlee, J., Matsuo, Y., et al. (2024) · arXiv

Topic ModelingMultimodal Machine Learning Applications

Cited by 5

A Survey on LLM Inference-Time Self-Improvement

Dong, X., Teleki, M., & Caverlee, J. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 1

The Due Process Deficit: Auditing AI Governance in U.S. Higher Education

Teleki, M., Choi, A. S. G., Duray, A., Liu, H., Zhang, J., Dong, X., Da Silva, D., Koenecke, A., & Caverlee, J. (2026) · Proceedings of the 2026 ACM Conference on Fairness, Accountability, and Transparency

Ethics and Social Impacts of AILegal Issues in Education

Cited by 0

Inference-Time Computations for LLM Reasoning and Planning: A Benchmark and Insights

Parashar, S., Olson, B., Khurana, S., Li, E., Ling, H., Caverlee, J., & Ji, S. (2025) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 0