IEEE

Toward Reliable Annotation in Low-Resource NLP: A Mixture of Agents Framework and Multi-LLM Benchmarking

Abstract: This paper introduces the Mixture-of-Agents (MoA) framework, a structured approach for improving the reliability of large language model (LLM)-based text annotation in low-resource NLP ...
IEEE

Toward Reliable License Plate Detection in Varied Contexts: Overcoming the Issue of Undersized Plate Annotations

Abstract: License plate detection and recognition (LPDR) is of paramount importance in the Intelligent Transportation Systems. Most existing license plate (LP) detectors rely on anchors, rendering ...