Atria Dawn: The Dawn of Agentic Superintelligence
Atria Dawn: The Dawn of Agentic Superintelligence introduces Atria Dawn Preview, a foundation agentic language model built to assist in complex scientific re...
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Atria Dawn: The Dawn of Agentic Superintelligence introduces Atria Dawn Preview, a foundation agentic language model built to assist in complex scientific re...
Navigating Sparse Evidence: Agentic Visual RAG via Explicit Context Selection and Consolidation introduces a new framework called SCoRE to improve how AI mod...
When Should a World Model Move? Loss-Conditioned State Execution introduces a new way to decide whether an AI model should update its prediction or simply st...
AlgoEvo: Self-Evolving Agentic Search for Automated Algorithm Discovery Automated Algorithm Discovery (AAD) aims to generate high-quality optimization heuris...
Corrupt Plans, Clean Traces: Evading Chain-of-Thought Monitoring with Plan Injection This research explores a security vulnerability in large language models...
Pilot Early, Commit Late: A Real-Options Model of Enterprise AI Adoption under Rapid Technological Progress explores the difficult timing decisions firms fac...
Stellar Colosseum: A Many-Agent Harness for Long-Horizon Research in Mathematics and Theoretical Computer Science introduces a new framework designed to help...
Recurrent Graph Neural Networks (GNNs) are powerful tools that process graph data by repeatedly passing messages between nodes until the network reaches a st...
LongAgent: History-Guided Agentic Search for Longitudinal Outcome Prediction Medical research often relies on longitudinal data—measurements collected over t...
Rethinking Clinical AI Evaluation Current methods for evaluating clinical AI, such as comparing AI-generated text to reference documents or using expert pane...
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