Jiang, Meng

A Survey of Knowledge-enhanced Text Generation

Yu, W., Zhu, C., Li, Z., Hu, Z., Wang, Q., Ji, H., & Jiang, M. (2022) · ACM Computing Surveys

Topic ModelingNatural Language Processing Techniques

Cited by 257

CatchSync: catching synchronized behavior in large directed graphs

Jiang, M., Cui, P., Beutel, A., Faloutsos, C., & Yang, S. (2014) · Proceedings of the 20th ACM SIGKDD international conference on Knowledge discovery and data mining

Complex Network Analysis TechniquesSpam and Phishing Detection

Cited by 151

Enhancing Factual Consistency of Abstractive Summarization

Zhu, C., Hinthorn, W., Xu, R., Zeng, Q., Zeng, M., Huang, X., & Jiang, M. (2021) · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies

Topic ModelingNatural Language Processing Techniques

Cited by 127

Catching Synchronized Behaviors in Large Networks: A Graph Mining Approach

Jiang, M., Cui, P., Beutel, A., Faloutsos, C., & Yang, S. (2016) · ACM Transactions on Knowledge Discovery from Data

Complex Network Analysis TechniquesSpam and Phishing Detection

Cited by 88

Inferring Strange Behavior from Connectivity Pattern in Social Networks

Jiang, M., Cui, P., Beutel, A., Faloutsos, C., & Yang, S. (2014) · Lecture Notes in Computer Science

Complex Network Analysis TechniquesGraph theory and applications

Cited by 82

Limitations of the LLM-as-a-Judge Approach for Evaluating LLM Outputs in Expert Knowledge Tasks

Szymanski, A., Ziems, N., Eicher-Miller, H. A., Li, T. J.-J., Jiang, M., & Metoyer, R. A. (2025) · Proceedings of the 30th International Conference on Intelligent User Interfaces

Artificial Intelligence in LawTopic Modeling

Cited by 77

Inferring lockstep behavior from connectivity pattern in large graphs

Jiang, M., Cui, P., Beutel, A., Faloutsos, C., & Yang, S. (2016) · Knowledge and Information Systems

Complex Network Analysis TechniquesGraph Theory and Algorithms

Cited by 43

Improving Language Models via Plug-and-Play Retrieval Feedback

Yu, W., Zhang, Z., Liang, Z., Jiang, M., & Sabharwal, A. (2023) · arXiv

Topic ModelingInformation Retrieval and Search Behavior

Cited by 14

Tri-Train: Automatic Pre-Fine Tuning between Pre-Training and Fine-Tuning for SciNER

Zeng, Q., Yu, W., Yu, M., Jiang, T., Weninger, T., & Jiang, M. (2020) · Findings of the Association for Computational Linguistics: EMNLP 2020

Topic ModelingBiomedical Text Mining and Ontologies

Cited by 10

GEPA: Reflective Prompt Evolution Can Outperform Reinforcement Learning

Agrawal, L. A., Tan, S., Soylu, D., Ziems, N., Khare, R., Opsahl-Ong, K., Singhvi, A., Shandilya, H., Ryan, M. J., Jiang, M., et al. (2025) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 7