Papers by L. Brinson

    1 papers
    Extracting Polymer Nanocomposite Samples from Full-Length Documents (2024.findings-acl)

    Copied to clipboard

    Challenge: Using large language models (LLMs) to extract sample lists of polymer nanocomposites (PNCs) from full-length materials science research papers is challenging due to the complexity of the data.
    Approach: They propose a benchmark and evaluation technique for extracting sample lists of polymer nanocomposites from full-length materials science research papers.
    Outcome: The proposed method improves the performance of LLMs and incorporates self-consistency to improve the performance.

    What is GenGO?

    GenGO is an NLP powered publication search system. It currenctly indexes 30k+ papers from ACL Anthology, and implements multi-aspect summarization, semantic search, and more!

    Information

    About
    Limitations