65 citations · 70 across the 4 of their papers we have counts for
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cs.CL2024★ 2 cited
Mitigating Exaggerated Safety in Large Language Models
Ruchira Ray, Ruchi Bhalani
As the popularity of Large Language Models (LLMs) grow, combining model safety with utility becomes increasingly important. The challenge is making sure that LLMs can recognize and…
cs.CV2024
Controlled Training Data Generation with Diffusion Models
Teresa Yeo, Andrei Atanov, Harold Benoit +4
We present a method to control a text-to-image generative model to produce training data useful for supervised learning. Unlike previous works that employ an open-loop approach and…