AI
The Greatness of Science Cannot Be Planned: Agentic Auto-Research is Fuzz Testing
Researchers propose a new approach to artificial intelligence research, called agentic auto-research...
AI
Hierarchical Compositionality for An Assistive AI Agent
Researchers Tianyi Fu and Mohan Sridharan have proposed a new architecture for assistive AI agents t...
AI
Reasoning Shortcuts and Value Symmetries: What Symmetry Permits, Architecture Realizes, and Optimization Selects
Researchers have been studying 'reasoning shortcuts' in AI systems, which are rules that lead to cor...
AI
InfraBench: Evaluating Infrastructure Agents Across Layers, Lifecycle, and Risk
Researchers have developed a benchmark suite called InfraBench to evaluate AI agents' performance in...
AI
Jagged Judges: Epistemic Stability Under Perturbation, Pressure, and Persistence
Researchers have developed the Wiggle Framework to test the stability of Large L...
AI
ScienceFlow: A long-horizon agent for ML research, scientific discovery and beyond
Researchers have developed ScienceFlow, a framework for long-horizon machine lea...
AI
HaReCAP: Habitual-action Grounding for Recursive Large Language Model Agents
Researchers have proposed a new method called HaReCAP to improve the efficiency ...
AI
Why we need an AI-resilient society- Profiling Large Language Models
The article profiles large language models using a forensic-psychology approach,...