2 papers
cs.HC2025
Componentization: Decomposing Monolithic LLM Responses into Manipulable Semantic Units
Ryan Lingo, Rajeev Chhajer, Martin Arroyo +3
Large Language Models (LLMs) often produce monolithic text that is hard to edit in parts, which can slow down collaborative workflows. We present componentization, an approach that…
cs.PL2025
Macaw: A Machine Code Toolbox for the Busy Binary Analyst
Ryan G. Scott, Brett Boston, Benjamin Davis +11
When attempting to understand the behavior of an executable, a binary analyst can make use of many different techniques. These include program slicing, dynamic instrumentation, bin…