Carolyn Jane Anderson

According to our database, Carolyn Jane Anderson authored at least 22 papers between 2014 and 2025.

Collaborative distances:

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

2025

"I Would Have Written My Code Differently": Beginners Struggle to Understand LLM-Generated Code.

Yangtian Zi, Luisa Li, Arjun Guha, Carolyn Jane Anderson, Molly Q. Feldman

CoRR, April, 2025

PhD Knowledge Not Required: A Reasoning Challenge for Large Language Models.

Carolyn Jane Anderson, Joydeep Biswas, Aleksander Boruch-Gruszecki, Federico Cassano, Molly Q. Feldman, Arjun Guha, Francesca Lucchetti, Zixuan Wu

CoRR, February, 2025

Substance Beats Style: Why Beginning Students Fail to Code with LLMs.

Francesca Lucchetti, Zixuan Wu, Arjun Guha, Molly Q. Feldman, Carolyn Jane Anderson

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

2024

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

Federico Cassano, John Gouwar, Francesca Lucchetti, Claire Schlesinger, Anders Freeman, Carolyn Jane Anderson, Molly Q. Feldman, Michael Greenberg, Abhinav Jangda, Arjun Guha

Proc. ACM Program. Lang., 2024

Evaluating Computational Representations of Character: An Austen Character Similarity Benchmark.

Funing Yang, Carolyn Jane Anderson

CoRR, 2024

GlyphPattern: An Abstract Pattern Recognition for Vision-Language Models.

Zixuan Wu, Yoolim Kim, Carolyn Jane Anderson

CoRR, 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

Non-Expert Programmers in the Generative AI Future.

Molly Q. Feldman, Carolyn Jane Anderson

Proceedings of the 3rd Annual Meeting of the Symposium on Human-Computer Interaction for Work, 2024

How Beginning Programmers and Code LLMs (Mis)read Each Other.

Sydney Nguyen, Hannah McLean Babe, Yangtian Zi, Arjun Guha, Carolyn Jane Anderson, Molly Q. Feldman

Proceedings of the CHI Conference on Human Factors in Computing Systems, 2024

StudentEval: A Benchmark of Student-Written Prompts for Large Language Models of Code.

Hannah McLean Babe, Sydney Nguyen, Yangtian Zi, Arjun Guha, Molly Q. Feldman, Carolyn Jane Anderson

Proceedings of the Findings of the Association for Computational Linguistics, 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

EAAI-23 Blue Sky Ideas in Artificial Intelligence Education from the AAAI/ACM SIGAI New and Future AI Educator Program.

Michael Guerzhoy, Marion Neumann, Pat Virtue, Carolyn Jane Anderson, Yaman Kumar Singla, Alexi Orchard, Rajiv Ratn Shah

AI Matters, June, 2023

StarCoder: may the source be with you!

Raymond Li, Loubna Ben Allal, Yangtian Zi, Niklas Muennighoff, Denis Kocetkov, Chenghao Mou, Marc Marone, Christopher Akiki, Jia Li, Jenny Chim, Qian Liu, Evgenii Zheltonozhskii, Terry Yue Zhuo, Thomas Wang, Olivier Dehaene, Mishig Davaadorj, Joel Lamy-Poirier, João Monteiro, Oleh Shliazhko, Nicolas Gontier, Nicholas Meade, Armel Zebaze, Ming-Ho Yee, Logesh Kumar Umapathi, Jian Zhu, Benjamin Lipkin, Muhtasham Oblokulov, Zhiruo Wang, Rudra Murthy V, Jason T. Stillerman, Siva Sankalp Patel, Dmitry Abulkhanov, Marco Zocca, Manan Dey, Zhihan Zhang, Nour Fahmy, Urvashi Bhattacharyya, Wenhao Yu, Swayam Singh, Sasha Luccioni, Paulo Villegas, Maxim Kunakov, Fedor Zhdanov, Manuel Romero, Tony Lee, Nadav Timor, Jennifer Ding, Claire Schlesinger, Hailey Schoelkopf, Jan Ebert, Tri Dao, Mayank Mishra, Alex Gu, Jennifer Robinson, Carolyn Jane Anderson, Brendan Dolan-Gavitt, Danish Contractor, Siva Reddy, Daniel Fried, Dzmitry Bahdanau, Yacine Jernite, Carlos Muñoz Ferrandis, Sean Hughes, Thomas Wolf, Arjun Guha, Leandro von Werra, Harm de Vries

Trans. Mach. Learn. Res., 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

SantaCoder: don't reach for the stars!

Loubna Ben Allal, Raymond Li, Denis Kocetkov, Chenghao Mou, Christopher Akiki, Carlos Muñoz Ferrandis, Niklas Muennighoff, Mayank Mishra, Alex Gu, Manan Dey, Logesh Kumar Umapathi, Carolyn Jane Anderson, Yangtian Zi, Joel Lamy-Poirier, Hailey Schoelkopf, Sergey Troshin, Dmitry Abulkhanov, Manuel Romero, Michael Lappert, Francesco De Toni, Bernardo García del Río, Qian Liu, Shamik Bose, Urvashi Bhattacharyya, Terry Yue Zhuo, Ian Yu, Paulo Villegas, Marco Zocca, Sourab Mangrulkar, David Lansky, Huu Nguyen, Danish Contractor, Luis Villa, Jia Li, Dzmitry Bahdanau, Yacine Jernite, Sean Hughes, Daniel Fried, Arjun Guha, Harm de Vries, Leandro von Werra

CoRR, 2023

Solving and Generating NPR Sunday Puzzles with Large Language Models.

Jingmiao Zhao, Carolyn Jane Anderson

Proceedings of the 14th International Conference on Computational Creativity, 2023

Exploring Social Biases of Large Language Models in a College Artificial Intelligence Course.

Skylar Kolisko, Carolyn Jane Anderson

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 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

2021

Solver-based gradual type migration.

Luna Phipps-Costin, Carolyn Jane Anderson, Michael Greenberg, Arjun Guha

Proc. ACM Program. Lang., 2021

ProSPer: Probing Human and Neural Network Language Model Understanding of Spatial Perspective.

Tessa Masis, Carolyn Jane Anderson

Proceedings of the Fourth BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP, 2021

2014

NetkAT: semantic foundations for networks.

Carolyn Jane Anderson, Nate Foster, Arjun Guha, Jean-Baptiste Jeannin, Dexter Kozen, Cole Schlesinger, David Walker

Proceedings of the 41st Annual ACM SIGPLAN-SIGACT Symposium on Principles of Programming Languages, 2014