AI
Eureka: Task-Conditioned Meta-Agent Orchestration for Scientific Discovery
Researchers have developed a new AI architecture called Eureka that can tackle complex scientific ta...
AI
What is Missing from AI Post-Training AI: An Empirical Analysis
Researchers from various institutions analyzed post-training trajectories of large language models a...
AI
Robust Risk Under Evolving Uncertainty: A Wasserstein Counterpart of the Entropic Value-at-Risk
Researchers have proposed a new risk measure called the Wasserstein entropic value-at-risk. This mea...
AI
Tuning the Stochastic Machine: A Systems Engineer's Operating Model for Human-AI Engineering
A systems engineer argues that the problem of persisting corrections made by experts to large langua...
AI
Grouping the Stochastic Machine: Precision, Not Capability, as the Frontier Metric for AI Systems
A new paper argues that precision, rather than capability, should be the key met...
AI
Beyond the Transcript: Detecting Covert Co ordination in Latent Multi-Agent Communication
Researchers have developed a framework called Verifiable Latent Alignments (VLA)...
AI
SuTRA : Structurally-Unified Tokenization with Root Awareness
Researchers propose SuTRA (Structurally-Unified Tokenization with Root Awareness...
AI
Latent Space Refusal Anchoring for Low-Resource African Languages: Mechanistic Safety Recovery Without Retraining
Researchers have developed a method called Latent Space Refusal Anchoring (LSR-A...