With the rise of large language models (LLMs), researchers are increasingly exploring their
applications in var ious vertical domains, such as software engineering. LLMs have …

Systematic Literature Reviews (SLRs) have become the foundation of evidence-based
studies, enabling researchers to identify, classify, and combine existing studies based on …

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 …

Large language models (LLMs) are leading significant progress in code generation. Beyond
one-pass code generation, recent works further integrate unit tests and program verifiers into …

As Large Language Models (LLMs) have become integral to both research and daily
operations, rigorous evaluation is crucial. This assessment is important not only for …

Current video generation models excel at creating short, realistic clips, but struggle with
longer, multi-scene videos. We introduce\texttt {DreamFactory}, an LLM-based framework …

As financial institutions and professionals increasingly incorporate Large Language Models
(LLMs) into their workflows, substantial barriers, including proprietary data and specialized …

Large Language Model (LLM) integrations into applications like Microsoft365 suite and
Google Workspace for creating/processing documents, emails, presentations, etc. has led to …

Large language models (LLMs) have significantly improved their ability to perform tasks in
the field of code generation. However, there is still a gap between LLMs being capable …

Much of the cost and effort required during the software testing process is invested in
performing test maintenance-the addition, removal, or modification of test cases to keep the …