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BDH-CQ: In-Context Learning with Recurrent Latent Reasoning
The paper introduces BDH-CQ, a model that combines in-context learning and recurrent latent reasoning. The model updates its memory based on inputs presented during inference, solves queries through iterative…
A foundation model of numerical intelligence with cross-disciplinary generalization
The paper introduces UNified In-Context Operator Networks (UNICON), a model that demonstrates numerical intelligence across various disciplines. It is capable of inferring predictive relations from graph-based examples…
A foundation model of numerical intelligence with cross-disciplinary generalization
Researchers introduce UNICON, a foundation model that exhibits numerical intelligence across various disciplines. This model can infer relationships from graph-based examples within a system and apply them to queries…
Cognitive-structured Multimodal Agent for Multimodal Understanding, Generation, and Editing
Researchers propose a new model called the Cognitive-structured Multimodal Agent. This agent is designed to understand and generate multimodal data (vision and language) in long-horizon dialogues more efficiently. It…
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