Prasoon Goyal

Oct 21, 2024 | amazon.science | Prasoon Goyal |Michael Johnston |Reza Ghanadan |Javier Chiyah-Garcia

In-Context Learning (ICL) has enabled Large Language Models (LLMs) to excel as generalpurpose models in zero and few-shot task settings. However, since LLMs are often not trained on the downstream tasks, they lack crucial contextual knowledge from the data distributions, which limits their task adaptability. This paper explores using data priors to automatically customize prompts in ICL.

Jul 3, 2024 | amazon.science | JAMES MULLEN |Prasoon Goyal |Robinson Piramuthu |Michael Johnston

Home robots intend to make their users lives easier. Our work moves toward more helpful home robots by enabling them to inform their users of dangerous or unsanitary anomalies in the home. Some examples of these anomalies include the user leaving their milk out, forgetting to turn off the stove, or leaving poison accessible to children. To enable home robots with these abilities, we have created a new dataset, which we call SafetyDetect.