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ORCIDFederico Cassano
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2020 – today
- 2024
[j2]Federico Cassano
, John Gouwar, Francesca Lucchetti, Claire Schlesinger, Anders Freeman, Carolyn Jane Anderson, Molly Q. Feldman, Michael Greenberg, Abhinav Jangda, Arjun Guha:
Knowledge Transfer from High-Resource to Low-Resource Programming Languages for Code LLMs. Proc. ACM Program. Lang. 8(OOPSLA2): 677-708 (2024)- [c5]Yuxiang Wei, Federico Cassano, Jiawei Liu, Yifeng Ding, Naman Jain, Zachary Mueller, Harm de Vries, Leandro von Werra, Arjun Guha, Lingming Zhang:
SelfCodeAlign: Self-Alignment for Code Generation. NeurIPS 2024 - [i11]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.:
StarCoder 2 and The Stack v2: The Next Generation. CoRR abs/2402.19173 (2024) - [i10]Chloe Loughridge, Qinyi Sun, Seth Ahrenbach, Federico Cassano, Chuyue Sun, Ying Sheng, Anish Mudide, Md Rakib Hossain Misu, Nada Amin, Max Tegmark:
DafnyBench: A Benchmark for Formal Software Verification. CoRR abs/2406.08467 (2024) - [i9]Evan Wang, Federico Cassano, Catherine Wu, Yunfeng Bai, Will Song, Vaskar Nath, Ziwen Han, Sean Hendryx, Summer Yue, Hugh Zhang:
Planning In Natural Language Improves LLM Search For Code Generation. CoRR abs/2409.03733 (2024) - [i8]Yuxiang Wei, Federico Cassano, Jiawei Liu, Yifeng Ding, Naman Jain, Zachary Mueller, Harm de Vries, Leandro von Werra, Arjun Guha, Lingming Zhang:
SelfCodeAlign: Self-Alignment for Code Generation. CoRR abs/2410.24198 (2024) - 2023
- [j1]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:
MultiPL-E: A Scalable and Polyglot Approach to Benchmarking Neural Code Generation. IEEE Trans. Software Eng. 49(7): 3675-3691 (2023) - [c4]Donald Pinckney, Federico Cassano, Arjun Guha, Jonathan Bell, Massimiliano Culpo, Todd Gamblin:
Flexible and Optimal Dependency Management via Max-SMT. ICSE 2023: 1418-1429 - [c3]Donald Pinckney, Federico Cassano, Arjun Guha, Jonathan Bell:
A Large Scale Analysis of Semantic Versioning in NPM. MSR 2023: 485-497 - [c2]Noah Shinn, Federico Cassano, Ashwin Gopinath, Karthik Narasimhan, Shunyu Yao:
Reflexion: language agents with verbal reinforcement learning. NeurIPS 2023 - [c1]Donald Pinckney, Federico Cassano, Arjun Guha, Jonathan Bell:
npm-follower: A Complete Dataset Tracking the NPM Ecosystem. ESEC/SIGSOFT FSE 2023: 2132-2136 - [i7]Donald Pinckney, Federico Cassano, Arjun Guha, Jonathan Bell:
A Large Scale Analysis of Semantic Versioning in NPM. CoRR abs/2304.00394 (2023) - [i6]Federico Cassano, Charles Bershatsky, Jacob Ginesin:
SafeLLVM: LLVM Without The ROP Gadgets! CoRR abs/2305.06092 (2023) - [i5]Federico Cassano, Ming-Ho Yee, Noah Shinn, Arjun Guha, Steven Holtzen:
Type Prediction With Program Decomposition and Fill-in-the-Type Training. CoRR abs/2305.17145 (2023) - [i4]Federico Cassano, John Gouwar, Francesca Lucchetti, Claire Schlesinger, Carolyn Jane Anderson, Michael Greenberg, Abhinav Jangda, Arjun Guha:
Knowledge Transfer from High-Resource to Low-Resource Programming Languages for Code LLMs. CoRR abs/2308.09895 (2023) - [i3]Donald Pinckney, Federico Cassano, Arjun Guha, Jonathan Bell:
npm-follower: A Complete Dataset Tracking the NPM Ecosystem. CoRR abs/2308.12545 (2023) - [i2]Federico Cassano, Luisa Li, Akul Sethi, Noah Shinn, Abby Brennan-Jones, Anton Lozhkov, Carolyn Jane Anderson, Arjun Guha:
Can It Edit? Evaluating the Ability of Large Language Models to Follow Code Editing Instructions. CoRR abs/2312.12450 (2023) - 2022
- [i1]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:
A Scalable and Extensible Approach to Benchmarking NL2Code for 18 Programming Languages. CoRR abs/2208.08227 (2022)
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