Topic
relation extraction
Artificial Intelligence #finetuning#ner
FineREX Boosts Knowledge Graph Quality by 31% in Human Smuggling Document Analysis
Researchers introduce FineREX, a fine-tuned NER-RE pipeline for knowledge graph construction from unstructured legal documents. Compared to a larger general-purpose LLM baseline, FineREX achieves absolute improvements of 15.50% in entity F1 and 31.46% in relation F1, reduces legal noise by nearly half, and cuts processing time by 50%.
Jul 8, 2026 1 source
Artificial Intelligence #few-shot learning#biomedical relation extraction
Few-Shot Biomedical Relation Extraction with LLMs: A Viable Alternative to Supervised Learning?
A new study on arXiv investigates few-shot biomedical relation extraction using large language models (LLMs). The best model achieved micro-F1 of 0.44, surpassing prior few-shot results but below supervised baseline. However, on macro-F1, prompt-based methods outperformed supervised learning, particularly on rare relation types, highlighting LLMs' potential in low-resource settings.
Jun 16, 2026 1 source