activity
20232026
most citedEyeTrans: Merging Human and Machine Attention for Neural Code Summarization

20 citations · 35 across the 5 of their papers we have counts for

collaborators

5 papers

cs.SE2026

AgentForge: An Immersive Role-Playing Platform for Learning Agentic Software Engineering

Zihan Fang, Yueke Zhang, Yu Huang

Agentic AI is increasingly used to coordinate planning, implementation, review, and testing in software development, yet it often offers limited transparency into its decisions and…

cs.HC2026

Stronger Alignment between Brain Activity and LLM Embeddings during Code Writing compared to Prose Writing

Zachary Karas, Catie Chang, Kevin Leach +1

Programming is a critical skill underlying modern software systems, yet the cognitive processes supporting code writing are only beginning to be understood, limiting educational pr…

cs.SE2024★ 20 cited

EyeTrans: Merging Human and Machine Attention for Neural Code Summarization

Yifan Zhang, Jiliang Li, Zachary Karas +5

Neural code summarization leverages deep learning models to automatically generate brief natural language summaries of code snippets. The development of Transformer models has led…

cs.SE2024★ 15 cited

Do Machines and Humans Focus on Similar Code? Exploring Explainability of Large Language Models in Code Summarization

Jiliang Li, Yifan Zhang, Zachary Karas +3

Recent language models have demonstrated proficiency in summarizing source code. However, as in many other domains of machine learning, language models of code lack sufficient expl…

cs.SE2023

Modeling Programmer Attention as Scanpath Prediction

Aakash Bansal, Chia-Yi Su, Zachary Karas +4

This paper launches a new effort at modeling programmer attention by predicting eye movement scanpaths. Programmer attention refers to what information people intake when performin…