7 citations · 9 across the 4 of their papers we have counts for
3 papers · 1 filter
Calibration and Correctness of Language Models for Code
Claudio Spiess, David Gros, Kunal Suresh Pai +6
Machine learning models are widely used, but can also often be wrong. Users would benefit from a reliable indication of whether a given output from a given model should be trusted,…
AI Safety Subproblems for Software Engineering Researchers
David Gros, Prem Devanbu, Zhou Yu
In this 4-page manuscript we discuss the problem of long-term AI Safety from a Software Engineering (SE) research viewpoint. We briefly summarize long-term AI Safety, and the chall…
Code to Comment "Translation": Data, Metrics, Baselining & Evaluation
David Gros, Hariharan Sezhiyan, Prem Devanbu +1
The relationship of comments to code, and in particular, the task of generating useful comments given the code, has long been of interest. The earliest approaches have been based o…