AI
Consistency Models for Fast MRI Reconstruction Using Regularization by Denoising
Researchers have developed a new method for reconstructing MRI images quickly and efficiently. The C...
AI
Beyond End-to-End Success: Diagnosing Failures in Long-Horizon Security LLM Agents
A new method for diagnosing failures in long-horizon security language models has been proposed. The...
AI
Aggregate, Don't Adapt: Subject-Level Posterior Aggregation and Transductive Calibration for Cross-Site Parkinsonian Gait Severity
Researchers have developed a system that predicts Parkinsonian gait severity from motion recordings ...
AI
Testing and Evaluation of Agentic AI Systems In Military Command and Control
Researchers from various institutions have published a paper on testing and evaluation of agentic AI...
AI
JuryProbe: An Empirical Consensus-Risk Diagnostic for Routing Reference-Free Factuality Judge Panels to Grounded Verification
Researchers have developed a tool called JuryProbe to help prevent false informa...
AI
When Failures Propagate: Causal Failure Attribution in Agentic Retrieval-Augmented Generation
A new benchmark, AgenticRAG-FP, has been introduced to evaluate the ability of A...
AI
AgentMercury: Your Agent Can Synthesize Verifiable Environments for Business Scenarios at scale
Researchers have developed AgentMercury, a framework for generating large-scale,...
AI
ARQ: Agentic CodeQL Query Refinement for C/C++ Vulnerability Detection
Researchers have developed a framework called ARQ that refines CodeQL queries fo...