1 citations · 1 across the 4 of their papers we have counts for
4 papers
Projectional Decoding: Towards Semantic-Aware LLM Generation
Boqi Chen, José Antonio Hernández López, Aren A. Babikian
Large language models (LLMs) are increasingly used to generate software artifacts across many software engineering (SE) tasks, yet ensuring the semantic validity of these artifacts…
SHERPA: A Model-Driven Framework for Large Language Model Execution
Boqi Chen, Kua Chen, José Antonio Hernández López +3
Recently, large language models (LLMs) have achieved widespread application across various fields. Despite their impressive capabilities, LLMs suffer from a lack of structured reas…
SENAI: Towards Software Engineering Native Generative Artificial Intelligence
Mootez Saad, José Antonio Hernández López, Boqi Chen +3
Large Language Models have significantly advanced the field of code generation, demonstrating the ability to produce functionally correct code snippets. However, advancements in ge…
The Power of Types: Exploring the Impact of Type Checking on Neural Bug Detection in Dynamically Typed Languages
Boqi Chen, José Antonio Hernández López, Gunter Mussbacher +1
Motivation: Automated bug detection in dynamically typed languages such as Python is essential for maintaining code quality. The lack of mandatory type annotations in such language…