5 papers
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…
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…
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…
Addressing Data Leakage in HumanEval Using Combinatorial Test Design
Jeremy S. Bradbury, Riddhi More
The use of large language models (LLMs) is widespread across many domains, including Software Engineering, where they have been used to automate tasks such as program generation an…
Object Recognition in Human Computer Interaction:- A Comparative Analysis
Kaushik Ranade, Tanmay Khule, Riddhi More
Human-computer interaction (HCI) has been a widely researched area for many years, with continuous advancements in technology leading to the development of new techniques that chan…