3 papers
cs.CL2025
A Multi-Stage Workflow for the Review of Marketing Content with Reasoning Large Language Models
Alberto Purpura, Emily Chen, Swapnil Shinde
Reasoning Large Language Models (LLMs) have shown promising results when tasked with solving complex problems. In this paper, we propose and evaluate a multi-stage workflow that le…
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…
cs.CL2025
Building Safe GenAI Applications: An End-to-End Overview of Red Teaming for Large Language Models
Alberto Purpura, Sahil Wadhwa, Jesse Zymet +5
The rapid growth of Large Language Models (LLMs) presents significant privacy, security, and ethical concerns. While much research has proposed methods for defending LLM systems ag…