A number of papers show how to translate complex, layout-heavy documents — moving beyond cascading multi-stage pipelines to ...

The model specializes in code and “performs especially well for retrieval use cases on real-world code data.” The model is available to developers for $0.15 per million tokens.

A new study in Engineering introduces ERQA, a medical knowledge retrieval and QA framework driven by an enhanced large language model. It integrates a semantic vector database and a ...

View-based 3D model retrieval uses a set of views to represent each object. Discovering the complex relationship between multiple views remains challenging in 3D object retrieval. Recent progress in ...

vdr-2b-multi-v1 is a cutting-edge multilingual embedding model designed for visual document retrieval across various languages and domains. The model encodes document page screenshots into dense ...

3D object retrieval has attracted extensive research efforts and become an important task in recent years. It is noted that how to measure the relevance between 3D objects is still a difficult issue.

Addressing this challenge requires a model capable of efficiently handling such diverse content. Introducing mcdse-2b-v1: A New Approach to Document Retrieval Meet mcdse-2b-v1, a new AI model that ...