Noah Ziems

According to our database, Noah Ziems authored at least 12 papers between 2021 and 2025.

Collaborative distances:

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

2025

Multi-module GRPO: Composing Policy Gradients and Prompt Optimization for Language Model Programs.

Noah Ziems, Dilara Soylu, Lakshya A. Agrawal, Isaac Miller, Liheng Lai, Chen Qian, Kaiqiang Song, Meng Jiang, Daniel Klein, Matei Zaharia, Karel D'Oosterlinck, Christopher Potts, Omar Khattab

CoRR, August, 2025

GEPA: Reflective Prompt Evolution Can Outperform Reinforcement Learning.

Lakshya A. Agrawal, Shangyin Tan, Dilara Soylu, Noah Ziems, Rishi Khare, Krista Opsahl-Ong, Arnav Singhvi, Herumb Shandilya, Michael J. Ryan, Meng Jiang, Christopher Potts, Koushik Sen, Alexandros G. Dimakis, Ion Stoica, Daniel Klein, Matei Zaharia, Omar Khattab

CoRR, July, 2025

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

Annalisa Szymanski, Noah Ziems, Heather A. Eicher-Miller, Toby Jia-Jun Li, Meng Jiang, Ronald A. Metoyer

Proceedings of the 30th International Conference on Intelligent User Interfaces, 2025

Optimizing Decomposition for Optimal Claim Verification.

Yining Lu, Noah Ziems, Hy Dang, Meng Jiang

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

2024

TOWER: Tree Organized Weighting for Evaluating Complex Instructions.

Noah Ziems, Zhihan Zhang, Meng Jiang

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

2023

Explaining Tree Model Decisions in Natural Language for Network Intrusion Detection.

Noah Ziems, Gang Liu, John Flanagan, Meng Jiang

CoRR, 2023

Embedding Mental Health Discourse for Community Recommendation.

Hy Dang, Bang Nguyen, Noah Ziems, Meng Jiang

CoRR, 2023

Large Language Models are Built-in Autoregressive Search Engines.

Noah Ziems, Wenhao Yu, Zhihan Zhang, Meng Jiang

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

2022

CodeDSI: Differentiable Code Search.

Usama Nadeem, Noah Ziems, Shaoen Wu

CoRR, 2022

Human Health Activity Intelligence Based on mmWave Sensing and Attention Learning.

Yichen Gao, Noah Ziems, Shaoen Wu, Honggang Wang, Mahmoud Daneshmand

Proceedings of the IEEE Global Communications Conference, 2022

2021

Security Vulnerability Detection Using Deep Learning Natural Language Processing.

Noah Ziems, Shaoen Wu

Proceedings of the 2021 IEEE Conference on Computer Communications Workshops, 2021

Automated Primary Hyperparathyroidism Screening with Neural Networks.

Noah Ziems, Shaoen Wu, Jim Norman

Proceedings of the IEEE Global Communications Conference, 2021