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 metric for evaluating A...
AI
Beyond the Transcript: Detecting Covert Co ordination in Latent Multi-Agent Communication
Researchers have developed a framework called Verifiable Latent Alignments (VLA) to detect and preve...
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...
AI
Nine Emotion Centroids: A Label-Free Valence Axis That Transfers Across Four Modalities
Researchers have developed a method to identify an internal 'valence axis' in la...
AI
Self- and Other-Labels Induce Bidirectional Bias in LLM Judges
Researchers have found that language models (LLMs) exhibit bias when judging the...