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AI

Debiased Inference for AI-Generated Data without Gold-Standard Labels: Identification via Multiple Imperfect Measurements

Researchers propose a new framework for debiased inference using multiple imperfect AI-generated dat...

Aug 20 🗳️ 0
AI

FairGlucose: A CGM Fairness Benchmark Reveals Subgroup Disparities Hidden in Population-Level Validation

Researchers have developed a benchmark called FairGlucose to evaluate the fairness of continuous glu...

Aug 20 🗳️ 0
AI

FedCoRe: Target-Adaptive Completion for Missing Modalities in Healthcare Federated Learning

Researchers have developed a new approach to handling missing data in healthcare federated learning ...

Aug 20 🗳️ 0
AI

From Inference to Adaptation: A Unified Optimal Transport View of Vision Language Model

Researchers from various institutions have proposed a new method for improving the performance of vi...

Aug 20 🗳️ 0
AI

Low-Power, Neuromorphic, Acoustic Anomaly Detection for Persistent Machine Monitoring

Researchers have developed a low-power acoustic anomaly detection system for per...

AI

Coupled-cluster molecular properties across the main group that extrapolate beyond training size

Researchers have developed a new AI model called MEHnet-MG that can predict mole...

AI

Task-Conditioned Least-Privilege Learning for Executable Terminal and MCP Agents

Researchers have developed a method to teach AI models to use the minimum amount...

AI

One Gate Is Not Enough: Composing Stateful Pre-Action Controls for Agentic AI

Researchers have identified a problem in agentic AI systems that can lead to uni...

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AI Selection, Recombination, or a Fresh Solve? A Candidate-Free Control for Single-Pass Test-Time Aggregation
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AI LEDGER: Claim-to-Evidence Trace Graphs for Auditing LLM Agents
AI Vector Symbolic Policy Gradient
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