Background: Unstructured clinical text remains a major barrier to interoperable data reuse and large-scale secondary analysis in health care. Large language models (LLMs) have the potential to ...

In development scenarios such as batch document processing, content auditing, and data extraction, there is a frequent need to extract all hyperlink information (target URL, display text, link type, ...

An intelligent, AI-powered resume screening system that automates the recruitment process using Natural Language Processing (NLP) and Machine Learning. The system analyzes, scores, and ranks resumes ...

Abstract: Integrated sensing and communication (ISAC) technology is vital in the advancement of multifunctional radio applications of the sixth-generation (6G) ecosystem. One of the primary challenges ...

Abstract: The extraction of information from unstructured documents is performed in a wide range of business processes including Know Your Customer (KYC). Such business processes require significant ...

Fine-tuning Qwen2.5-VL-3B-Instruct on 12 freight logistics document classes. The model classifies each page, detects document boundaries (START / CONTINUATION), and extracts universal fields — all in ...