4 citations · 4 across the 3 of their papers we have counts for
3 papers · 1 filter
Neurosymbolic AI for Enhancing Instructability in Generative AI
Amit Sheth, Vishal Pallagani, Kaushik Roy
Generative AI, especially via Large Language Models (LLMs), has transformed content creation across text, images, and music, showcasing capabilities in following instructions throu…
Grounding from an AI and Cognitive Science Lens
Goonmeet Bajaj, Srinivasan Parthasarathy, Valerie L. Shalin +1
Grounding is a challenging problem, requiring a formal definition and different levels of abstraction. This article explores grounding from both cognitive science and machine learn…
A Cross Attention Approach to Diagnostic Explainability using Clinical Practice Guidelines for Depression
Sumit Dalal, Deepa Tilwani, Kaushik Roy +4
The lack of explainability using relevant clinical knowledge hinders the adoption of Artificial Intelligence-powered analysis of unstructured clinical dialogue. A wealth of relevan…