Natural Language Model

Natural language models (NLMs) are computational systems designed to understand, process, and generate human language. Current research focuses on improving NLMs' capabilities in diverse tasks, including information extraction from specialized texts (e.g., medical guidelines), idiom processing, and cross-modal applications (e.g., integrating speech and text). Key model architectures include transformers and their variants, often leveraging techniques like parameter-efficient fine-tuning and pre-training on massive datasets to enhance performance and efficiency across various downstream applications, impacting fields from healthcare to software engineering.