Molly Q. Feldman

According to our database, Molly Q. Feldman authored at least 13 papers between 2018 and 2025.

Collaborative distances:

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

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

"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

Proceedings of the 33rd ACM International Conference on the Foundations of Software Engineering, 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

Navigating Generative AI Disclosure, Ownership, and Accountability in Co-Creative Domains.

Hyo Jin Do, Molly Q. Feldman, Jessica He, Angel Hsing-Chi Hwang, Seyun Kim

Proceedings of the Adjunct Proceedings of the 4th Annual Symposium on Human-Computer Interaction for Work, 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

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

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

2020

How We Write with Crowds.

Molly Q. Feldman, Brian James McInnis

Proc. ACM Hum. Comput. Interact., 2020

2019

Towards answering "Am I on the right track?" automatically using program synthesis.

Molly Q. Feldman, Yiting Wang, William E. Byrd, François Guimbretière, Erik Andersen

Proceedings of the SPLASH-E '19, 2019

2018

Automatic Diagnosis of Students' Misconceptions in K-8 Mathematics.

Molly Q. Feldman, Ji Yong Cho, Monica Ong, Sumit Gulwani, Zoran Popovic, Erik Andersen

Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems, 2018