Jacob Zimmer

According to our database, Jacob Zimmer authored at least 5 papers between 2019 and 2025.

Collaborative distances:

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

2025

Can LLMs Replace Humans During Code Chunking?

Christopher Glasz, Emily Escamilla, Eric O. Scott, Anand Patel, Jacob Zimmer, Colin Diggs, Michael Doyle, Scott Rosen, Nitin Naik, Justin F. Brunelle, Samruddhi Thaker, Parthav Poudel, Arun Sridharan, Amit Madan, Doug Wendt, William Macke, Thomas Schill

CoRR, June, 2025

Impact of Comments on LLM Comprehension of Legacy Code.

Rock Sabetto, Emily Escamilla, Devesh Agarwal, Sujay Kandwal, Justin F. Brunelle, Scott Rosen, Nitin Naik, Samruddhi Thaker, Eric O. Scott, Jacob Zimmer, Amit Madan, Arun Sridharan, Doug Wendt, Michael Doyle, Christopher Glasz, Jasper Phillips, William Macke, Colin Diggs, Michael Bartholf, Zachary Robin, Paul Ursino

CoRR, June, 2025

Leveraging LLMs for Legacy Code Modernization: Evaluation of LLM-Generated Documentation.

Colin Diggs, Michael Doyle, Amit Madan, Eric O. Scott, Emily Escamilla, Jacob Zimmer, Naveed Nekoo, Paul Ursino, Michael Bartholf, Zachary Robin, Anand Patel, Chris Glasz, William Macke, Paul Kirk, Jasper Phillips, Arun Sridharan, Doug Wendt, Scott Rosen, Nitin Naik, Justin F. Brunelle, Samruddhi Thaker

Proceedings of the IEEE/ACM International Workshop on Large Language Models for Code, 2025

2024

Leveraging LLMs for Legacy Code Modernization: Challenges and Opportunities for LLM-Generated Documentation.

Colin Diggs, Michael Doyle, Amit Madan, Siggy Scott, Emily Escamilla, Jacob Zimmer, Naveed Nekoo, Paul Ursino, Michael Bartholf, Zachary Robin, Anand Patel, Chris Glasz, William Macke, Paul Kirk, Jasper Phillips, Arun Sridharan, Doug Wendt, Scott Rosen, Nitin Naik, Justin F. Brunelle, Samruddhi Thaker

CoRR, 2024

2019

Representing document-level semantics of biomedical literature using pre-trained embedding models: Novel assessments.

Jon Stevens, Brandon Punturo, Derek Chen, Mike Kim, Jacob Zimmer

Proceedings of the 15th Conference on Natural Language Processing, 2019