XDA Developers on MSN

My home lab taught me more than my computer science degree

I studied computer science at University College Dublin, where the four-year course covered a broad range of topics. We ...
IEEE

Grounding Language with Visual Affordances over Unstructured Data

Abstract: Recent works have shown that Large Language Models (LLMs) can be applied to ground natural language to a wide variety of robot skills. However, in practice, learning multi-task, ...
GitHub

This is the official implementation of ICLR 2024 paper "VDC: Versatile Data Cleanser based on Visual-Linguistic Inconsistency by Multimodal Large Language Models".

We find a commonality of various dirty samples is visual-linguistic inconsistency between images and associated labels. To capture the semantic inconsistency between modalities, we propose versatile ...
IEEE

OVL-MAP: An Online Visual Language Map Approach for Vision-and-Language Navigation in Continuous Environments

Abstract: Vision-and-Language Navigation in Continuous Environments (VLN-CE) requires agents to navigate 3D environments based on visual observations and natural language instructions. Existing ...
Microsoft

LLM2CLIP: Powerful Language Model Unlocks Richer Visual Representation

CLIP is one of the most important multimodal foundational models today. What powers CLIP’s capabilities? The rich supervision signals provided by natural language, the carrier of human knowledge, ...