Recently, the ChatGPT LLM has received great attention: it can be used as a bot for
discussing source code, prompting it to suggest changes, provide descriptions or even …

Finetuning large language models (LLMs) on instructions leads to vast performance
improvements on natural language tasks. We apply instruction tuning using code …

Very large language models (LLMs), such as GPT-3 and Codex have achieved state-of-the-
art performance on several natural-language tasks, and show great promise also for code. A …

Incident management for cloud services is a complex process involving several steps and
has a huge impact on both service health and developer productivity. On-call engineers …

Modern language models (LMs) have been successfully employed in source code
generation and understanding, leading to a significant increase in research focused on …

Recently, fine-tuning pre-trained code models such as CodeBERT on downstream tasks has
achieved great success in many software testing and analysis tasks. While effective and …

To support software developers in understanding and maintaining programs, various
automatic code summarization techniques have been proposed to generate a concise …

Binary code summarization, while invaluable for understanding code semantics, is
challenging due to its labor-intensive nature. This study delves into the potential of large …

Binary reverse engineering is used to understand and analyse programs for which the
source code is unavailable. Decompilers can help, transforming opaque binaries into a …

Pre-trained models of source code have gained widespread popularity in many code
intelligence tasks. Recently, with the scaling of the model and corpus size, large language …