1 citations · 1 across the 3 of their papers we have counts for
3 papers
Automatic Hard Example Synthesis with Multi-Level Agentic Data Curation
Genglin Liu, Muye Zhang, Krishnamurthy Viswanathan +5
Multimodal Large Language Models (MLLMs) are increasingly deployed for nuanced content safety and moderation tasks, yet they remain vulnerable to adversarial attacks and out-of-dis…
SYNAPSE-G: Bridging Large Language Models and Graph Learning for Rare Event Classification
Sasan Tavakkol, Lin Chen, Max Springer +4
Scarcity of labeled data, especially for rare events, hinders training effective machine learning models. This paper proposes SYNAPSE-G (Synthetic Augmentation for Positive Samplin…
Supporting Human Raters with the Detection of Harmful Content using Large Language Models
Kurt Thomas, Patrick Gage Kelley, David Tao +7
In this paper, we explore the feasibility of leveraging large language models (LLMs) to automate or otherwise assist human raters with identifying harmful content including hate sp…