Environmental Review LLMs

Evaluating long-context and retrieval-augmented models for environmental review.

This research examines how frontier language models handle environmental review and permitting documents. It compares retrieval-augmented generation, long-context modeling, and domain-specific evaluation workflows for complex scientific and regulatory text.

Related publications: (Phan et al., 2024), (Meyur et al., 2024)

References

2024

  1. rag_vs_long.png
    RAG vs. Long Context: Examining Frontier Large Language Models for Environmental Review Document Comprehension
    H. Phan, A. Acharya, S. Chaturvedi, and 8 more authors
    arXiv, 2024
  2. nepatec1.0.png
    Benchmarking LLMs for Environmental Review and Permitting
    R. Meyur, H. Phan, K. Hayashi, and 12 more authors
    arXiv, 2024