Large Language Models (LLMs) are increasingly becoming fundamental in supporting
software developers in coding tasks. The massive datasets used for training LLMs are often …

Unit testing is an essential activity in software development for verifying the correctness of
software components. However, manually writing unit tests is challenging and time …

Unit testing is an essential activity in software development for verifying the correctness of
software components. However, manually writing unit tests is challenging and time …

Recent advancements in large language models (LLMs) have exhibited promising
capabilities in addressing various tasks such as defect detection and program repair …

Large language models (LLMs) have shown promise as automated evaluators for assessing
the quality of answers generated by AI systems. However, LLM-based evaluators exhibit …

To enhance the efficiency of language models, it would involve optimizing their training and
inference processes to reduce computational demands while maintaining high performance …

Model stealing attacks involve creating copies of machine learning models that have similar
functionalities to the original model without proper authorization. Such attacks raise …

Jailbreaking is an emerging adversarial attack that bypasses the safety alignment deployed
in off-the-shelf large language models (LLMs). A considerable amount of research exists …

Large language models are deployed as either closed-source, providing superior
performance with limited customization, or open-source, ensuring full transparency at the …

The Transformers architecture has recently emerged as a revolutionary paradigm in the field
of deep learning, particularly excelling in Natural Language Processing (NLP) and …