30 citations · 43 across the 11 of their papers we have counts for
5 papers · 1 filter
The Poisoned Chalice of LLM Evaluation Report
Jonathan Katzy, Ali Al-Kaswan, Razvan Mihai Popescu +1
Large language models are increasingly used to evaluate and support software engineering tasks, yet the validity of these evaluations is often undermined by uncertainty about wheth…
Model See, Model Do? Exposure-Aware Evaluation of Bug-vs-Fix Preference in Code LLMs
Ali Al-Kaswan, Claudio Spiess, Prem Devanbu +2
Large language models are increasingly used for code generation and debugging, but their outputs can still contain bugs, that originate from training data. Distinguishing whether a…
Code Red! On the Harmfulness of Applying Off-the-shelf Large Language Models to Programming Tasks
Ali Al-Kaswan, Sebastian Deatc, Begüm Koç +2
Nowadays, developers increasingly rely on solutions powered by Large Language Models (LLM) to assist them with their coding tasks. This makes it crucial to align these tools with h…
STACC: Code Comment Classification using SentenceTransformers
Ali Al-Kaswan, Maliheh Izadi, Arie van Deursen
Code comments are a key resource for information about software artefacts. Depending on the use case, only some types of comments are useful. Thus, automatic approaches to classify…
The (ab)use of Open Source Code to Train Large Language Models
Ali Al-Kaswan, Maliheh Izadi
In recent years, Large Language Models (LLMs) have gained significant popularity due to their ability to generate human-like text and their potential applications in various fields…