Text Classification
Transformers
ONNX
Safetensors
multilingual
xlm-roberta
privacy
pii-detection
text-embeddings-inference
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@@ -24,7 +24,6 @@ Unlike its predecessor and other NER models, **v2 evaluates text within its surr
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  ## What’s New in v2.0?
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  * **Conversational Context Integration:** Evaluates target messages within the broader multi-user chat context, eliminating ambiguity inherent in isolated messages.
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- * **RAG-Augmented LLM Labeling:** Primarily trained on data labeled by LLMs leveraging Retrieval-Augmented Generation (RAG) on a curated corpus of labeled samples, outperforming human expert baselines in both precision and recall on complex PII cases.
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  * **Massive Multilingual Expansion:** Broadened synthetic data generation and fine-tuning capabilities to expand language coverage from **17 to 189 languages**.
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  * **Automated Red-Teaming & Clustering:** Applied automated adversarial red-teaming and cluster visualization to systematically surface, isolate, and patch model vulnerabilities.
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  * **Significant Performance Leap:** Overall F1 score increased from **63.41% to 90.52%** on our refreshed internal evaluation set, with a f1 score increase from **64.74% to 88.78%** on the recently released roblox-pii-safety-for-chat-benchmark.
 
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  ## What’s New in v2.0?
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  * **Conversational Context Integration:** Evaluates target messages within the broader multi-user chat context, eliminating ambiguity inherent in isolated messages.
 
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  * **Massive Multilingual Expansion:** Broadened synthetic data generation and fine-tuning capabilities to expand language coverage from **17 to 189 languages**.
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  * **Automated Red-Teaming & Clustering:** Applied automated adversarial red-teaming and cluster visualization to systematically surface, isolate, and patch model vulnerabilities.
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  * **Significant Performance Leap:** Overall F1 score increased from **63.41% to 90.52%** on our refreshed internal evaluation set, with a f1 score increase from **64.74% to 88.78%** on the recently released roblox-pii-safety-for-chat-benchmark.