OS-Atlas, trained on the largest open-source cross-platform GUI grounding corpus of 13 million elements, outperforms prior open-source models on six benchmarks across mobile, desktop, and web platforms.
arXiv preprint arXiv:1910.03655 , year=
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Introduces GRIT, LTMI, and a hierarchical attention framework claiming performance gains on image captioning, visual dialog, and ALFRED instruction following.
The paper defines Agent AI as interactive multimodal systems that perceive grounded data and generate embodied actions, arguing this approach can mitigate hallucinations in foundation models.
citing papers explorer
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OS-ATLAS: A Foundation Action Model for Generalist GUI Agents
OS-Atlas, trained on the largest open-source cross-platform GUI grounding corpus of 13 million elements, outperforms prior open-source models on six benchmarks across mobile, desktop, and web platforms.
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Machine Intelligence that Understands Visual and Linguistic Information and Interacts with Humans and Environments
Introduces GRIT, LTMI, and a hierarchical attention framework claiming performance gains on image captioning, visual dialog, and ALFRED instruction following.
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Agent AI: Surveying the Horizons of Multimodal Interaction
The paper defines Agent AI as interactive multimodal systems that perceive grounded data and generate embodied actions, arguing this approach can mitigate hallucinations in foundation models.