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 of authority requir...
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 unintended consequences...
AI
Selection, Recombination, or a Fresh Solve? A Candidate-Free Control for Single-Pass Test-Time Aggregation
Researchers have proposed a new approach to test-time reasoning in AI systems. The method, called 'c...
AI
TTSD-FAR: Test-Time Self-Distillation with Fisher-Anchored Restoration for Missing-Modality Emotion Recognition in LVLMs
Researchers have developed a new framework called Test-Time Self-Distillation with Fisher-Anchored R...
AI
LEDGER: Claim-to-Evidence Trace Graphs for Auditing LLM Agents
Researchers have developed a system called LEDGER to help review and audit the o...
AI
Vector Symbolic Policy Gradient
Researchers have developed a new method for training AI agents called Vector Sym...
AI
Mechanistic Interpretability of Structure-Aware Numerical Reasoning in LLaMA 3.1 8B
Researchers have investigated how the large language model Llama 3.1-8B performs...
AI
Pedagogical AI in Mental Health: A Tri-Stream Fine-Tuned LLM Framework for Automated Clinical Supervision and Risk Triage
Researchers have developed a framework that uses artificial intelligence to help...