Papers with 2B-9B-parameter decoder LLMs

    1 papers
    HebID: Detecting Social Identities in Hebrew-language Political Text (2025.findings-emnlp)

    Copied to clipboard

    Challenge: Existing NLP datasets focus on coarse-grained identity categories . existing datasets are mostly English-centric and focus on fine-grain categories based on cultural contexts.
    Approach: They introduce the first multilabel Hebrew corpus for social identity detection . they use Hebrew-tuned encoders alongside 2B-9B-parameter decoders .
    Outcome: The proposed classifier is based on a national public survey and uses Hebrew-tuned encoders to analyze political discourse and political speeches.

    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