Automating Plan Evaluation Using Agentic Large Language Models
This research benchmarks human evaluations against a large language model (LLM) using a multi-agent approach and/or retrieval-augmented generation (RAG) to automate complex content analysis tasks to leverage artificial intelligence’s efficiency and precision alongside humans’ contextual understanding and domain expertise.