The task of generating code from a natural language description, or NL2Code, is considered
a pressing and significant challenge in code intelligence. Thanks to the rapid development …

Natural-language dialog is key for an intuitive human–robot interaction. It can be used not
only to express humans' intents but also to communicate instructions for improvement if a …

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

Control code is designed and implemented for industrial automation applications that
manage power plants, petrochemical processes, or steel production. Popular large …

We evaluate AI-assisted generative capabilities on fundamental numerical kernels in high-
performance computing (HPC), including AXPY, GEMV, GEMM, SpMV, Jacobi Stencil, and …

Deep learning (DL), which includes deep reinforcement learning (DRL), holds great promise
for carrying out real-world tasks that human minds seem to cope with quite readily. That …

Transformers have revolutionized natural language processing (NLP) and have had a huge
impact on automating tasks. Recently, transformers have led to the development of powerful …

Location-based applications are increasingly popular as smartphones with navigation
capabilities are becoming more prevalent. Analyzing the time spent by visitors at Points of …

Continual technological advances associated with the recent automation revolution have
tremendously increased the impact of computer technology in the industry. Software …

This study addresses the problem of how to automatically generate source code that is not
only functional, but also well-structured, readable, and maintainable. Existing generative …