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Molly Q. Feldman

3 papers hereh-index 9717 citations16 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author1
  • last author2

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.CY1
  • cs.HC1
  • cs.SE1

identity via Semantic Scholar / OpenAlex

collaborators

3 papers

cs.SE2025

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

Yangtian Zi, Luisa Li, Arjun Guha +2

Large language models (LLMs) are being increasingly adopted for programming work. Prior work shows that while LLMs accelerate task completion for professional programmers, beginnin…

cs.CY2024

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

Francesca Lucchetti, Zixuan Wu, Arjun Guha +2

Although LLMs are increasing the productivity of professional programmers, existing work shows that beginners struggle to prompt LLMs to solve text-to-code tasks. Why is this the c…

cs.HC2024

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

Sydney Nguyen, Hannah McLean Babe, Yangtian Zi +3

Generative AI models, specifically large language models (LLMs), have made strides towards the long-standing goal of text-to-code generation. This progress has invited numerous stu…

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