About Me

I currently am a Second Year Ph.D. Student and CGRS Fellow at the University of Wisconsin-Madison. I am advised by Aws Albarghouthi and Fred Sala. Prior to this, I was a graduate research assistant under the advisement of He He. Additionally, I was a Research Intern at Google under the advisement of Rishabh Singh and Michele Catasta. I have also interned at Magic.dev and Merlin Labs. I received my MS from New York University and my BS from Rensselaer Polytechnic Institute in May 2021 with a BS in Computer Science.

News

• I will be working on agents in summer 2024 at Replit.
• I will be interning at Magic AI from May to August 2023.
• I will be interning at X, The Moonshot Company from May to December 2022.
• Co-Organizing the Deep Learning For Code Workshop at ICLR 2022.
• AllenNLP-Hydra has documentation pages now!

Preprints

• Gabriel Orlanski Kefan Xiao, Xavier Garcia, Jeffrey Hui, Joshua Howland, Jonathan Malmaud, Jacob Austin, Rishah Singh, and Michele Catasta
  Measuring The Impact Of Programming Language Distribution
  [Code]

Publications

• Gabriel Orlanski and Alex Gittens.
  Reading StackOverflow Encourages Cheating: Adding Question Text Improves Extractive Code Generation at NLP4Prog Workshop at ACL, 2021.
  [Code][BibTex]

Projects:

• Evaluating How Fine-tuning on Bimodal Data Effects Code Generation.
  [Code] [Paper]
• Evaluating Prompts Across Multiple Choice Tasks In a Zero-Shot Setting.
  Examining how prompts perform with tasks they were not designed for in a zero-shot setting. Course Project for CSCI-GA:2590 Natural Language Processing.
  [Code]
• Author Disambiguation for the New ACL Anthology.
  Research project I conducted during the Summer of 2019 under the advisement of Professor Heng Ji. I built a system for disambiguating different authors in the ACL Anthology database.