Molly Q. Feldman

18 papers A* 2Journal 9Unranked 6
YearRankTypeTitle / Venue / Authors
2025 J jnl
"I Would Have Written My Code Differently": Beginners Struggle to Understand LLM-Generated Code.
CoRR
Yangtian Zi, Luisa Li, Arjun Guha, Carolyn Jane Anderson, Molly Q. Feldman
2025 — conf
"I Would Have Written My Code Differently': Beginners Struggle to Understand LLM-Generated Code.
SIGSOFT FSE Companion
Yangtian Zi, Luisa Li, Arjun Guha, Carolyn Jane Anderson, Molly Q. Feldman
2025 — conf
Navigating Generative AI Disclosure, Ownership, and Accountability in Co-Creative Domains.
CHIWORK (Adjunct)
Hyo Jin Do, Molly Q. Feldman, Jessica He, Angel Hsing-Chi Hwang, Seyun Kim
2025 J jnl
PhD Knowledge Not Required: A Reasoning Challenge for Large Language Models.
CoRR
Carolyn Jane Anderson, Joydeep Biswas, Aleksander Boruch-Gruszecki, Federico Cassano, Molly Q. Feldman, Arjun Guha, Francesca Lucchetti, Zixuan Wu
2025 — conf
Substance Beats Style: Why Beginning Students Fail to Code with LLMs.
NAACL (Long Papers)
Francesca Lucchetti, Zixuan Wu, Arjun Guha, Molly Q. Feldman, Carolyn Jane Anderson
2024 A* conf
How Beginning Programmers and Code LLMs (Mis)read Each Other.
CHI
Sydney Nguyen, Hannah McLean Babe, Yangtian Zi, Arjun Guha, Carolyn Jane Anderson, Molly Q. Feldman
2024 J jnl
How Beginning Programmers and Code LLMs (Mis)read Each Other.
CoRR
Sydney Nguyen, Hannah McLean Babe, Yangtian Zi, Arjun Guha, Carolyn Jane Anderson, Molly Q. Feldman
2024 J jnl
Knowledge Transfer from High-Resource to Low-Resource Programming Languages for Code LLMs.
Proc. ACM Program. Lang.
Federico Cassano, John Gouwar, Francesca Lucchetti, Claire Schlesinger, Anders Freeman, Carolyn Jane Anderson, Molly Q. Feldman, Michael Greenberg, Abhinav Jangda, Arjun Guha
2024 — conf
Non-Expert Programmers in the Generative AI Future.
CHIWORK
Molly Q. Feldman, Carolyn Jane Anderson
2024 — conf
StudentEval: A Benchmark of Student-Written Prompts for Large Language Models of Code.
ACL (Findings)
Hannah McLean Babe, Sydney Nguyen, Yangtian Zi, Arjun Guha, Molly Q. Feldman, Carolyn Jane Anderson
2024 J jnl
Substance Beats Style: Why Beginning Students Fail to Code with LLMs.
CoRR
Francesca Lucchetti, Zixuan Wu, Arjun Guha, Molly Q. Feldman, Carolyn Jane Anderson
2023 J jnl
MultiPL-E: A Scalable and Polyglot Approach to Benchmarking Neural Code Generation.
IEEE Trans. Software Eng.
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
2023 — ed.
Proceedings of the 2023 ACM SIGPLAN International Symposium on SPLASH-E, SPLASH-E 2023, Cascais, Portugal, 25 October 2023
SPLASH-E
Molly Q. Feldman, Michael Hilton
2023 J jnl
StudentEval: A Benchmark of Student-Written Prompts for Large Language Models of Code.
CoRR
Hannah McLean Babe, Sydney Nguyen, Yangtian Zi, Arjun Guha, Molly Q. Feldman, Carolyn Jane Anderson
2022 J jnl
A Scalable and Extensible Approach to Benchmarking NL2Code for 18 Programming Languages.
CoRR
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
2020 J jnl
How We Write with Crowds.
Proc. ACM Hum. Comput. Interact.
Molly Q. Feldman, Brian James McInnis
2019 — conf
Towards answering "Am I on the right track?" automatically using program synthesis.
SPLASH-E
Molly Q. Feldman, Yiting Wang, William E. Byrd, François Guimbretière, Erik Andersen
2018 A* conf
Automatic Diagnosis of Students' Misconceptions in K-8 Mathematics.
CHI
Molly Q. Feldman, Ji Yong Cho, Monica Ong, Sumit Gulwani, Zoran Popovic, Erik Andersen