Ai-assisted programming tasks using code embeddings and transformers

S Kotsiantis, V Verykios, M Tzagarakis - Electronics, 2024 - mdpi.com
This review article provides an in-depth analysis of the growing field of AI-assisted
programming tasks, specifically focusing on the use of code embeddings and transformers …

Multimedia generative script learning for task planning

Q Wang, M Li, HP Chan, L Huang… - arXiv preprint arXiv …, 2022 - arxiv.org
Goal-oriented generative script learning aims to generate subsequent steps to reach a
particular goal, which is an essential task to assist robots or humans in performing …

DetTrans: A Lightweight Framework to Detect and Translate Noisy Inputs Simultaneously

Z Xue, X Zhang, T Shi, D Xiong - IEEE/ACM Transactions on …, 2023 - ieeexplore.ieee.org
Neural machine translation (NMT) systems trained on clean data usually suffer from
performance degradation when translating noisy inputs. Existing works attempt to improve …

Transformer-Based UNet with Multi-Headed Cross-Attention Skip Connections to Eliminate Artifacts in Scanned Documents

D Kreuzer, M Munz - arXiv preprint arXiv:2306.02815, 2023 - arxiv.org
The extraction of text in high quality is essential for text-based document analysis tasks like
Document Classification or Named Entity Recognition. Unfortunately, this is not always …