most citedNanoVLMs: How small can we go and still make coherent Vision Language Models?

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cs.CL2025

GRAID: Synthetic Data Generation with Geometric Constraints and Multi-Agentic Reflection for Harmful Content Detection

Melissa Kazemi Rad, Alberto Purpura, Himanshu Kumar +2

We address the problem of data scarcity in harmful text classification for guardrailing applications and introduce GRAID (Geometric and Reflective AI-Driven Data Augmentation), a n…