Pre-trained large language models (LLMs) have recently emerged as a breakthrough
technology in natural language processing and artificial intelligence, with the ability to …

Large Language Models (LLMs) have been gaining increasing attention and demonstrated
promising performance across a variety of Software Engineering (SE) tasks, such as …

Automated Program Repair (APR) attempts to patch software bugs and reduce manual
debugging efforts. Very recently, with the advances in Large Language Models (LLMs), an …

Contemporary evaluation techniques are inadequate for agentic systems. These
approaches either focus exclusively on final outcomes--ignoring the step-by-step nature of …

Large language models (LLM) have proven to be effective at automated program repair
(APR). However, using LLMs can be highly costly, with companies invoicing users by the …

Large language models of code (Code-LLMs) have recently brought tremendous advances
to code completion, a fundamental feature of programming assistance and code …

Code large language models (LLMs) have made significant progress in code debugging by
directly generating the correct code based on the buggy code snippet. Programming …

Given that Large Language Models (LLMs) have made significant progress in writing code,
can they now be used to autonomously reproduce results from research repositories? Such …

Pretrained code language models have enabled great progress towards program synthesis.
However, common approaches only consider in-file local context and thus miss information …

This paper introduces INTERVENOR (INTERactiVE chaiN Of Repair), a system designed to
emulate the interactive code repair processes observed in humans, encompassing both …