Federico Cassano

According to our database, Federico Cassano authored at least 11 papers between 2022 and 2024.

Collaborative distances:

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

2024

StarCoder 2 and The Stack v2: The Next Generation.

Anton Lozhkov, Raymond Li, Loubna Ben Allal, Federico Cassano, Joel Lamy-Poirier, Nouamane Tazi, Ao Tang, Dmytro Pykhtar, Jiawei Liu, Yuxiang Wei, Tianyang Liu, Max Tian, Denis Kocetkov, Arthur Zucker, Younes Belkada, Zijian Wang, Qian Liu, Dmitry Abulkhanov, Indraneil Paul, Zhuang Li, Wen-Ding Li, Megan Risdal, Jia Li, Jian Zhu, Terry Yue Zhuo, Evgenii Zheltonozhskii, Nii Osae Osae Dade, Wenhao Yu, Lucas Krauß, Naman Jain, Yixuan Su, Xuanli He, Manan Dey, Edoardo Abati, Yekun Chai, Niklas Muennighoff, Xiangru Tang, Muhtasham Oblokulov, Christopher Akiki, Marc Marone, Chenghao Mou, Mayank Mishra, Alex Gu, Binyuan Hui, Tri Dao, Armel Zebaze, Olivier Dehaene, Nicolas Patry, Canwen Xu, Julian J. McAuley, Han Hu, Torsten Scholak, Sébastien Paquet, Jennifer Robinson, Carolyn Jane Anderson, Nicolas Chapados, et al.

CoRR, 2024

2023

MultiPL-E: A Scalable and Polyglot Approach to Benchmarking Neural Code Generation.

Federico Cassano, John Gouwar, Daniel Nguyen, Sydney Nguyen, Luna Phipps-Costin, Donald Pinckney, Ming-Ho Yee, Yangtian Zi, Carolyn Jane Anderson, Molly Q. Feldman, Arjun Guha, Michael Greenberg, Abhinav Jangda

IEEE Trans. Software Eng., July, 2023

Can It Edit? Evaluating the Ability of Large Language Models to Follow Code Editing Instructions.

Federico Cassano, Luisa Li, Akul Sethi, Noah Shinn, Abby Brennan-Jones, Anton Lozhkov, Carolyn Jane Anderson, Arjun Guha

CoRR, 2023

Knowledge Transfer from High-Resource to Low-Resource Programming Languages for Code LLMs.

Federico Cassano, John Gouwar, Francesca Lucchetti, Claire Schlesinger, Carolyn Jane Anderson, Michael Greenberg, Abhinav Jangda, Arjun Guha

CoRR, 2023

Type Prediction With Program Decomposition and Fill-in-the-Type Training.

Federico Cassano, Ming-Ho Yee, Noah Shinn, Arjun Guha, Steven Holtzen

CoRR, 2023

SafeLLVM: LLVM Without The ROP Gadgets!

Federico Cassano, Charles Bershatsky, Jacob Ginesin

CoRR, 2023

npm-follower: A Complete Dataset Tracking the NPM Ecosystem.

Donald Pinckney, Federico Cassano, Arjun Guha, Jonathan Bell

Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2023

Reflexion: language agents with verbal reinforcement learning.

Noah Shinn, Federico Cassano, Ashwin Gopinath, Karthik Narasimhan, Shunyu Yao

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

A Large Scale Analysis of Semantic Versioning in NPM.

Donald Pinckney, Federico Cassano, Arjun Guha, Jonathan Bell

Proceedings of the 20th IEEE/ACM International Conference on Mining Software Repositories, 2023

Flexible and Optimal Dependency Management via Max-SMT.

Donald Pinckney, Federico Cassano, Arjun Guha, Jonathan Bell, Massimiliano Culpo, Todd Gamblin

Proceedings of the 45th IEEE/ACM International Conference on Software Engineering, 2023

2022

A Scalable and Extensible Approach to Benchmarking NL2Code for 18 Programming Languages.

Federico Cassano, John Gouwar, Daniel Nguyen, Sydney Nguyen, Luna Phipps-Costin, Donald Pinckney, Ming-Ho Yee, Yangtian Zi, Carolyn Jane Anderson, Molly Q. Feldman, Arjun Guha, Michael Greenberg, Abhinav Jangda

CoRR, 2022