3 papers
cs.SE2025
Localized Calibrated Uncertainty in Code Language Models
David Gros, Prem Devanbu
Large Language models (LLMs) can generate complicated source code from natural language prompts. However, LLMs can generate output that deviates from what the user wants, requiring…
cs.SE2025
Does In-IDE Calibration of Large Language Models work at Scale?
Roham Koohestani, Agnia Sergeyuk, David Gros +4
The introduction of large language models into integrated development environments (IDEs) is revolutionizing software engineering, yet it poses challenges to the usefulness and rel…
cs.CL2024
"Dialogue" vs "Dialog" in NLP and AI research: Statistics from a Confused Discourse
David Gros
Within computing research, there are two spellings for an increasingly important term - dialogue and dialog. We analyze thousands of research papers to understand this "dialog(ue)…