Token-classification checkpoint used to produce the reference entities in It is CyNER (Alam et al., 2022) fine-tuned on 50 MITRE ATT&CK software articles annotated with five STIX-aligned labels. Every entity-based number in the paper (answer-matching precision/recall, frequency-based entity similarity, the Threatpost and The Hacker News ground truth, the Llama-3 summary NER) was produced by this exact checkpoint, so it is released to make those numbers regenerable. BIO tagging over five entity types: Label definitions follow Table 3 of the paper (Malware, System, Indicator, Vulnerability, Organization). Fine-tuned with the CyNER training loop (cyner.TransformersNER) from xlm-roberta-base.…
Independent publisher
Seungho Song
Ricky-dev
NLP, LLM
Models in Library1
Datasets in Library0
Models on Hugging Face1
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