Weekly Newsletter
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multimodal
New metric tracks where multimodal reasoning models go wrong
(a) Example of outputs from a reasoning model and a non-reasoning model on a perception task. Red highlights indicate visual hallucination. Multimodal reasoning...
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Multi-modal AI agent mimics human thinking for long video analysis and reasoning
Credit: GitHub: While Artificial Intelligence (AI) technology is evolving rapidly, AI models still struggle with understanding long videos. A research team from The...
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A novel, multimodal approach to automated speaking skill assessment
A proposed framework for simultaneously estimating multifaceted English communication skills. Previously developed systems for the automated assessment of speaking proficiency focus on limited...
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New multimodal AI tool supports ecological applications
The TaxaBind framework creates a unified database by distilling information from five different modalities into one binding modality. In TaxaBind’s case, the binding...
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Psychology-based tasks assess multi-modal LLM visual cognition limits
The help or hinder task; one of the tasks used to test the visual cognition of multimodal LLMs. Credit: MIT. Over the past...
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A Minecraft-based benchmark to train and test multi-modal multi-agent systems
More than 30 target objects or resources are used in TeamCraft tasks. Credit: UCLA. Researchers at the University of California- Los Angeles (UCLA)...
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Open-source framework goes beyond language to enhance multimodal AI training capabilities
A couple of oranges seen through the lens of multiple modalities, with each slice showing a different way one might perceive and understand...
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Integrated multi-modal sensing and learning system could give robots new capabilities
Soft robot fingers equipped with tactile sensors grasping an egg. The bottom-right images show the tactile sensing results. Credit: Binghao Huang. To assist...
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