About this document
Enhancing Compositional Generalization in VLMs by belaid lahcini is a document available to read on EtoBox.
The document outlines a PhD thesis proposal focused on improving the compositional generalization capabilities of visual language models (VLMs) within the context of the SHARP project, which aims to develop efficient models with minimal resource requirements. It discusses the current limitations of VLMs in generalizing to specific domains and presents research objectives to enhance their performance through better alignment of visual and linguistic inputs. The program includes a structured three-year timeli
- Author
- belaid lahcini
- Language
- EN