2 papers
cs.IR2026
SchemaRAG: Dynamic Large Schema Reduction for LLM-driven Structured Information Extraction
Sin Yu Bonnie Ho, Arlie Coles, Erik Larsson +3
Extracting structured data from unstructured text using large language models (LLMs) becomes challenging when target schemas are large and complex. In such cases, including the ful…
cs.CL2025
Empowering Healthcare Practitioners with Language Models: Structuring Speech Transcripts in Two Real-World Clinical Applications
Jean-Philippe Corbeil, Asma Ben Abacha, George Michalopoulos +12
Large language models (LLMs) such as GPT-4o and o1 have demonstrated strong performance on clinical natural language processing (NLP) tasks across multiple medical benchmarks. None…