Gabriel Orlanski

According to our database, Gabriel Orlanski authored at least 7 papers between 2021 and 2026.

Collaborative distances:

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

2026

Test-Time Scaling Makes Overtraining Compute-Optimal.

Nicholas Carl Roberts, Sungjun Cho, Zhiqi Gao, Tzu-Heng Huang, Albert Wu, Gabriel Orlanski, Avi Trost, Estefany Kelly Buchanan, Aws Albarghouthi, Frederic Sala

CoRR, April, 2026

SlopCodeBench: Benchmarking How Coding Agents Degrade Over Long-Horizon Iterative Tasks.

Gabriel Orlanski, Devjeet Roy, Alexander Yun, Changho Shin, Alex Gu, Albert Ge, Dyah Adila, Frederic Sala, Aws Albarghouthi

CoRR, March, 2026

2025

Reward Models Enable Scalable Code Verification by Trading Accuracy for Throughput.

Gabriel Orlanski, Nicholas Carl Roberts, Aws Albarghouthi, Frederic Sala

CoRR, June, 2025

2023

Measuring the Impact of Programming Language Distribution.

Gabriel Orlanski, Kefan Xiao, Xavier Garcia, Jeffrey Hui, Joshua Howland, Jonathan Malmaud, Jacob Austin, Rishabh Singh, Michele Catasta

Proceedings of the International Conference on Machine Learning, 2023

2022

Evaluating How Fine-tuning on Bimodal Data Effects Code Generation.

Gabriel Orlanski, Seonhye Yang, Michael Healy

CoRR, 2022

Evaluating Prompts Across Multiple Choice Tasks In a Zero-Shot Setting.

Gabriel Orlanski

CoRR, 2022

2021

Reading StackOverflow Encourages Cheating: Adding Question Text Improves Extractive Code Generation.

Gabriel Orlanski, Alex Gittens

CoRR, 2021