arXiv:2606.10388v2 Announce Type: replace-cross Abstract: Agent skill libraries are becoming routable software assets: a retrieved skill can contribute…
Tag: AI
GEM: Geometric Erasure by Contrastive Velocity Matching in Rectified Flows
arXiv:2606.00140v3 Announce Type: replace-cross Abstract: While the rapid adoption of multimodal generative models offers immense potential, it has also…
Can Predicted Dynamics Exist in the Physical World?
arXiv:2606.00089v2 Announce Type: replace-cross Abstract: Can learned state-action proposals exist in the physical world? To filter infeasible commands…
New AI Predicts Your Next Response From Your Past Conversations
Researchers at MIT have developed an LLM-based system that learns recurring patterns from weeks of a person’s real conversations, to predict their likely…
The Good, the Bad, and the Ugly of Markov Boundary for Tabular Prediction
arXiv:2605.29411v2 Announce Type: replace-cross Abstract: Under standard graphical assumptions, the Markov boundary of a target variable is the smallest…
How to Build a Career in AI: 3 Distinct Pathways
Three orientations, three different skill maps, and how to find the one that fits where you actually stand.
MPCoT: Reward-Guided Multi-Path Latent Reasoning for Test-Time Scalable Vision-Language-Action
arXiv:2606.06245v2 Announce Type: replace-cross Abstract: Vision-Language-Action (VLA) policies remain brittle in long-horizon and high-uncertainty…
Geometric Evolution Maps: Extracting Stable Concept Probes from Transformer Residual Streams
arXiv:2605.25848v2 Announce Type: replace-cross Abstract: A concept probe is only as reliable as the layer it is taken from. Probing at a fixed late…
MKG-CARE: Case-Aware Reasoning with Multimodal Knowledge Graphs for Explainable Medical Image Diagnosis
arXiv:2605.22547v3 Announce Type: replace-cross Abstract: Medical image diagnosis has achieved significant progress with deep learning, yet existing…
The Concept Allocation Zone: Tracking How Concepts Form Across Transformer Depth
arXiv:2605.24856v2 Announce Type: replace-cross Abstract: Concept formation in transformer language models is a depth-extended process, not a single-layer…
