Noah Ziems - RankMe

19 papers A 1B 2Journal 12Unranked 4

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	BigCodeArena: Unveiling More Reliable Human Preferences in Code Generation via Execution. CoRR Terry Yue Zhuo, Xiaolong Jin, Hange Liu, Juyong Jiang, Tianyang Liu, Chen Gong, Bhupesh Bishnoi, Vaisakhi Mishra, Marek Suppa, Noah Ziems, Saiteja Utpala, Ming Xu, Guangyu Song, Kaixin Li, Yuhan Cao, Bo Liu, Zheng Liu, Sabina Abdurakhmanova, Wenhao Yu, Mengzhao Jia, Jihan Yao, Kenneth Hamilton, Kumar Shridhar, Minh Chien Vu, Dingmin Wang, Jiawei Liu, Zijian Wang, Qian Liu, Binyuan Hui, Meg Risdal, Ahsen Khaliq, Atin Sood, Zhenchang Xing, Wasi Uddin Ahmad, John Grundy, David Lo, Banghua Zhu, Xiaoning Du, Torsten Scholak, Leandro von Werra
2025	J	`jnl`	GEPA: Reflective Prompt Evolution Can Outperform Reinforcement Learning. CoRR 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
2025	A	`conf`	Limitations of the LLM-as-a-Judge Approach for Evaluating LLM Outputs in Expert Knowledge Tasks. IUI Annalisa Szymanski, Noah Ziems, Heather A. Eicher-Miller, Toby Jia-Jun Li, Meng Jiang, Ronald A. Metoyer
2025	J	`jnl`	Multi-module GRPO: Composing Policy Gradients and Prompt Optimization for Language Model Programs. CoRR 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
2025	—	`conf`	Optimizing Decomposition for Optimal Claim Verification. ACL (1) Yining Lu, Noah Ziems, Hy Dang, Meng Jiang
2025	J	`jnl`	Optimizing Decomposition for Optimal Claim Verification. CoRR Yining Lu, Noah Ziems, Hy Dang, Meng Jiang
2024	J	`jnl`	Limitations of the LLM-as-a-Judge Approach for Evaluating LLM Outputs in Expert Knowledge Tasks. CoRR Annalisa Szymanski, Noah Ziems, Heather A. Eicher-Miller, Toby Jia-Jun Li, Meng Jiang, Ronald A. Metoyer
2024	—	`conf`	TOWER: Tree Organized Weighting for Evaluating Complex Instructions. EMNLP (Findings) Noah Ziems, Zhihan Zhang, Meng Jiang
2024	J	`jnl`	TOWER: Tree Organized Weighting for Evaluating Complex Instructions. CoRR Noah Ziems, Zhihan Zhang, Meng Jiang
2023	J	`jnl`	Embedding Mental Health Discourse for Community Recommendation. CoRR Hy Dang, Bang Nguyen, Noah Ziems, Meng Jiang
2023	J	`jnl`	Explaining Tree Model Decisions in Natural Language for Network Intrusion Detection. CoRR Noah Ziems, Gang Liu, John Flanagan, Meng Jiang
2023	—	`conf`	Large Language Models are Built-in Autoregressive Search Engines. ACL (Findings) Noah Ziems, Wenhao Yu, Zhihan Zhang, Meng Jiang
2023	J	`jnl`	Large Language Models are Built-in Autoregressive Search Engines. CoRR Noah Ziems, Wenhao Yu, Zhihan Zhang, Meng Jiang
2022	J	`jnl`	CodeDSI: Differentiable Code Search. CoRR Usama Nadeem, Noah Ziems, Shaoen Wu
2022	B	`conf`	Human Health Activity Intelligence Based on mmWave Sensing and Attention Learning. GLOBECOM Yichen Gao, Noah Ziems, Shaoen Wu, Honggang Wang, Mahmoud Daneshmand
2021	B	`conf`	Automated Primary Hyperparathyroidism Screening with Neural Networks. GLOBECOM Noah Ziems, Shaoen Wu, Jim Norman
2021	J	`jnl`	Automated Primary Hyperparathyroidism Screening with Neural Networks. CoRR Noah Ziems, Shaoen Wu, Jim Norman
2021	—	`conf`	Security Vulnerability Detection Using Deep Learning Natural Language Processing. INFOCOM Workshops Noah Ziems, Shaoen Wu
2021	J	`jnl`	Security Vulnerability Detection Using Deep Learning Natural Language Processing. CoRR Noah Ziems, Shaoen Wu