Are We Recovering Mechanisms? Objective-Level Recovery Gaps in Mechanistic Interpretability
Research
Research News
New papers, breakthroughs and academic AI research
UrbanVLA: A Vision-Language-Action Model for Urban Micromobility
Research
Learned Suppression for 3D Keypoint Detection with a Graph-Transformer Backbone
Research
Stochastic Parrots or Singing in Harmony? Testing Five Leading LLMs for their Ability to Replicate a Human Survey with Synthetic Data
Research
Causal-Aware Tabular GANs with Reinforcement Learning
Research
LensVLM: Selective Context Expansion for Compressed Visual Representation of Text
Research
Bellman Meets Lyapunov: Unsupervised Reinforcement Learning via Mastering Chaos
Research
Constant-Time Planning for Chaining Collision-free Motion to Manipulation Behaviors
Research
BranchIP: Learning Adaptive Equivariant Computation for Interatomic Potentials
Research
Relative Transitions, Not Absolute Destinations: A Transfer-and-Ground Framework for Target-Trajectory-Free Human Mobility Generation
Research
Explainability of Complex AI Models with Correlation Impact Ratio
Research
DynGhost: Temporally-Modelled Transformer for Dynamic Ghost Imagings
Research