Noah Ziems

Publication Activity (10 Years)

Years Active: 2021-2023
Publications (10 Years): 10

Top Topics

Natural Language

Document Ranking

Top Venues

INFOCOM Workshops

Publications

Noah Ziems, Wenhao Yu, Zhihan Zhang, Meng Jiang
Large Language Models are Built-in Autoregressive Search Engines. ACL (Findings) (2023)
Noah Ziems, Wenhao Yu, Zhihan Zhang, Meng Jiang
Large Language Models are Built-in Autoregressive Search Engines. CoRR (2023)
Hy Dang, Bang Nguyen, Noah Ziems, Meng Jiang
Embedding Mental Health Discourse for Community Recommendation. CoRR (2023)
Noah Ziems, Gang Liu, John Flanagan, Meng Jiang
Explaining Tree Model Decisions in Natural Language for Network Intrusion Detection. CoRR (2023)
Yichen Gao, Noah Ziems, Shaoen Wu, Honggang Wang, Mahmoud Daneshmand
Human Health Activity Intelligence Based on mmWave Sensing and Attention Learning. GLOBECOM (2022)
Usama Nadeem, Noah Ziems, Shaoen Wu
CodeDSI: Differentiable Code Search. CoRR (2022)
Noah Ziems, Shaoen Wu
Security Vulnerability Detection Using Deep Learning Natural Language Processing. CoRR (2021)
Noah Ziems, Shaoen Wu, Jim Norman
Automated Primary Hyperparathyroidism Screening with Neural Networks. CoRR (2021)
Noah Ziems, Shaoen Wu
Security Vulnerability Detection Using Deep Learning Natural Language Processing. INFOCOM Workshops (2021)
Noah Ziems, Shaoen Wu, Jim Norman
Automated Primary Hyperparathyroidism Screening with Neural Networks. GLOBECOM (2021)