GLiNER2
PulseAugur coverage of GLiNER2 — every cluster mentioning GLiNER2 across labs, papers, and developer communities, ranked by signal.
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New Opir models offer efficient multi-task safety classification for LLMs
Researchers have introduced Opir, a new family of encoder-based guardrail models designed for efficient multi-task safety classification in large language model applications. Opir models are built on the GLiClass archit…
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GLiNER Guard unifies LLM safety and PII detection in single pass
A new system called GLiNER Guard (GLiGuard) has been developed to streamline safety moderation and PII detection for large language models. This unified encoder collapses multiple classifiers and NER models into a singl…
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New GLiNER2-PII model excels at multilingual PII extraction
Researchers have developed GLiNER2-PII, a compact 0.3 billion parameter model designed for multilingual personally identifiable information (PII) extraction. This model, adapted from GLiNER2, can identify 42 different t…