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

This comprehensive study evaluates the performance of OpenAI's o1-preview large
language model across a diverse array of complex reasoning tasks, spanning multiple …

The increasing development of large language models (LLMs) in code generation has
drawn significant attention among researchers. To enhance LLM-based code generation …

The advancement of natural language processing (NLP) has been significantly boosted by
the development of transformer-based large language models (LLMs). These models have …

Natural language to code generation is an important application area of LLMs and has
received wide attention from the community. The majority of relevant studies have …

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 …

Code generation problems differ from common natural language problems-they require
matching the exact syntax of the target language, identifying happy paths and edge cases …

In recent years, Large Language Models (LLMs) have achieved remarkable success and
have been widely used in various downstream tasks, especially in the tasks of the software …

Pre-trained on massive amounts of code and text data, large language models (LLMs) have
demonstrated remarkable achievements in performing code generation tasks. With …

Large Language Models (LLMs) have showcased impressive capabilities in handling
straightforward programming tasks. However, their performance tends to falter when …