FIELD NOTES TOPIC

ai model

4 notes, newest first.

  1. BDH-CQ: In-Context Learning with Recurrent Latent Reasoning

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    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…

  2. A foundation model of numerical intelligence with cross-disciplinary generalization

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    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…

  3. A foundation model of numerical intelligence with cross-disciplinary generalization

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    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…

  4. Cognitive-structured Multimodal Agent for Multimodal Understanding, Generation, and Editing

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    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…