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leondz/README.md

Hi there 👋

  • 🔭 I research natural language processing and machine learning. I'm currently looking at:
    • 🔒 LLM security: hazards manifest if we don't treat language models as unreliable and subvertible. Or as demons!
    • 🛡️ Online harms: content safety, misinformation processing, hate speech & abusive language detection. Enumerate risks with Language Model Risk Cards

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  1. NVIDIA/garak NVIDIA/garak Public

    the LLM vulnerability scanner

    Python 2.9k 244

  2. lm_risk_cards lm_risk_cards Public

    Risks and targets for assessing LLMs & LLM vulnerabilities

    Python 25 7

  3. hatespeechdata hatespeechdata Public

    Catalog of abusive language data (PLoS 2020)

    Python 305 75

  4. generalised-brown generalised-brown Public

    Forked from sean-chester/generalised-brown

    C++ implementation of Generalised Brown clustering and python scripts for feature generation (AAAI 2016)

    C++ 2

  5. GateNLP/broad_twitter_corpus GateNLP/broad_twitter_corpus Public

    The Broad Twitter Corpus, an NER dataset in English stratified for time, location, social media genre, socioeconomic factors (COLING 2016)

    Jupyter Notebook 65 6

  6. emerging_entities_17 emerging_entities_17 Public

    Dataset for the Emerging & Novel Entity NER task (WNUT '17)

    111 24