🏢 Mila - Quebec AI Institute
When is an Embedding Model More Promising than Another?
·4115 words·20 mins·
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AI Theory
Representation Learning
🏢 Mila - Quebec AI Institute
This paper introduces a novel, task-agnostic method for ranking embedding models using information sufficiency, a concept derived from communication theory and statistical experiments comparison, demo…
VisMin: Visual Minimal-Change Understanding
·2710 words·13 mins·
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Multimodal Learning
Vision-Language Models
🏢 Mila - Quebec AI Institute
VisMin benchmark evaluates visual-language models’ fine-grained understanding by identifying minimal image-text differences (object, attribute, count, spatial relation). Current VLMs struggle with sp…