FIELD NOTES TOPIC
workflow
2 notes, newest first.
Self-prompting and cross-model consensus enable reproducible data extraction from scientific literature with large language models
The study explores the ability of large language models (LLMs) to extract contextualized information from research articles efficiently. The authors present four workflows that demonstrate LLMs can perform well in data…
DeepBD: A Grounded Agentic Workflow for Variant Prioritization and Diagnosis of Genetic Birth Defects
DeepBD is a workflow developed by researchers to help diagnose genetic birth defects using exome and genome sequencing data. The workflow uses a language model (LLM) to organize the interpretation process, and it…
