Security Vulnerability Detection Using Natural Language Processing N Ziems, S Wu IEEE INFOCOM 2021, 2021 | 72* | 2021 |
Large Language Models are Built-in Autoregressive Search Engines N Ziems, W Yu, Z Zhang, M Jiang ACL 2023, 2023 | 51 | 2023 |
Explaining Tree Model Decisions in Natural Language for Network Intrusion Detection N Ziems, G Liu, J Flanagan, M Jiang NeurIPS XAIA Workshop 2023, 2023 | 16 | 2023 |
Limitations of the LLM-as-a-Judge approach for evaluating LLM outputs in expert knowledge tasks A Szymanski, N Ziems, HA Eicher-Miller, TJJ Li, M Jiang, RA Metoyer arXiv preprint arXiv:2410.20266, 2024 | 2 | 2024 |
Embedding Mental Health Discourse for Community Recommendation H Dang, B Nguyen, N Ziems, M Jiang ACL CODI Workshop 2023, 2023 | 1 | 2023 |
Automated Primary Hyperparathyroidism Screening with Neural Networks N Ziems, S Wu, J Norman 2021 IEEE Global Communications Conference (GLOBECOM), 1-6, 2021 | 1 | 2021 |
TOWER: Tree Organized Weighting for Evaluating Complex Instructions N Ziems, Z Zhang, M Jiang EMNLP 2024, 2024 | | 2024 |