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AI · arxiv.org · Tuesday, 28 July 2026

Semalith v1.4 Packs SOTA Prompt‑Injection Detection into 184M‑Parameter Model

Semalith v1.4 is a 184M‑parameter DeBERTa‑v3‑base classifier that simultaneously flags prompt‑injection, general harm, and BFSI regulatory issues. It outperforms Llama‑Guard‑3‑8B on all prompt‑injection benchmarks while using 44× fewer parameters and achieving zero false‑positives on benign agentic prompts.

Read the source: arxiv.org ↗In the 28 July issue →