Large Language Models (LLMs) have significantly impacted numerous domains, including
Software Engineering (SE). Many recent publications have explored LLMs applied to …

Software Engineering (SE) is the systematic design, development, maintenance, and
management of software applications underpinning the digital infrastructure of our modern …

Several recent advances in AI systems solve problems by providing a" scaffolding" program
that structures multiple calls to language models to generate better outputs. A scaffolding …

Despite recent increase in research on improvement of non-functional properties of
software, such as energy usage or program size, there is a lack of standard benchmarks for …

We introduce Differential Performance Evaluation (DPE), a framework designed to reliably
evaluate Large Language Models (LLMs) for efficient code generation. Traditional coding …

The recent advance in Large Language Models (LLMs) has shaped a new paradigm of AI
agents, ie, LLM-based agents. Compared to standalone LLMs, LLM-based agents …

Computing olympiads contain some of the most challenging problems for humans, requiring
complex algorithmic reasoning, puzzle solving, in addition to generating efficient code …

As artificial intelligence (AI) continues to advance, it demonstrates capabilities comparable
to human intelligence, with significant potential to transform education and workforce …

Recent work has explored the capability of large language models (LLMs) to identify and
correct errors in LLM-generated responses. These refinement approaches frequently …

The increasing complexity and high costs associated with modern processor design have
led to a surge in demand for processor design automation. Instruction-tuned large language …