Wind Turbine Maintenance Log Labelling Framework: LLM-Driven Data Correction and Enrichment via Semantic Extraction of Reliability Intelligence
A new framework uses large language models to improve the accuracy of maintenance records for wind t...
A new framework uses large language models to improve the accuracy of maintenance records for wind t...
Researchers propose a new approach to training language models called Noise Dependent Granularity Co...
Researchers investigated whether large language models (LLMs) can accurately identify when their pre...
Researchers have introduced DominoTree, a new method for speculative decoding in large language mode...
Researchers have developed a new language model called VEXMLM to improve the per...
Researchers have developed a benchmark called LexKairos to evaluate the ability ...
Researchers have developed SAEVerbalizer, a framework that generates explanation...
Researchers have introduced RecurrentGPT, a new type of transformer model that b...