1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.CL2025
AlignFreeze: Navigating the Impact of Realignment on the Layers of Multilingual Models Across Diverse Languages
Steve Bakos, Félix Gaschi, David Guzmán +3
Realignment techniques are often employed to enhance cross-lingual transfer in multilingual language models, still, they can sometimes degrade performance in languages that differ…
cs.SE2025
An Analysis of LLM Fine-Tuning and Few-Shot Learning for Flaky Test Detection and Classification
Riddhi More, Jeremy S. Bradbury
Flaky tests exhibit non-deterministic behavior during execution and they may pass or fail without any changes to the program under test. Detecting and classifying these flaky tests…
cs.SE2025★ 1 cited
Assessing Data Augmentation-Induced Bias in Training and Testing of Machine Learning Models
Riddhi More, Jeremy S. Bradbury
Data augmentation has become a standard practice in software engineering to address limited or imbalanced data sets, particularly in specialized domains like test classification an…