Auditable AI Text Detectors with Sparse Features
Turning opaque neural text detectors into concept-level, auditable classifiers.
Papers and results that change what is possible
Turning opaque neural text detectors into concept-level, auditable classifiers.
Inside a five-stage pipeline for low-resource spontaneous speech that actually moves ASR metrics
How RadarGSOcc turns sparse 4D radar tensors into Doppler-aware 3D semantic occupancy grids and what that means for autonomy stacks.
How DSP turns minutes of human play into hours of autonomous data and dexterous control.
How semantic-aware tokenization and in-model pruning cut vision tokens ~20× while keeping most capability.
How a language-based action chain-of-thought narrows the embodiment gap between human egocentric video and robot control.
How Prompteina links text prompts to all-atom protein design and what that implies for agentic bioengineering stacks
How Kernel Autoresearch turns kernel design into an open-ended, agentic search over valid programs.
A generative latent-flow model that learns one-to-many solution maps in high-dimensional physical systems.
How QF3 fuses flow matching and Q‑gradients to train and fine‑tune flow policies efficiently.
How a Soft Actor-Critic stack navigates cerebral veins and predicts its own failure in vitro.
How recursive harness self-improvement hardens tasks without touching model weights
How Generative Cinematographer turns a single image into an editable 3D scene for jointly authoring camera and object motion.
How Faynt reaches state-of-the-art multi-character Melee play with small Transformers, clever post-training, and tight evaluation.
A new 174‑language benchmark and the COVER method show how to budget your unlearning effort across languages instead of blindly retraining everything.
How looped transformers and sparse MoE jointly scale, and what their new scaling law implies for model design.
How VVR turns synthetic scenes into programmatically checkable rewards that transfer to natural prompts.
How ClearGS re-weights views and repairs frames to make 3D Gaussian Splatting robust to handheld video artefacts.
How NNV3 extends set-based verification to new model classes, inputs, and fairness constraints.
New results suggest semantic “sameness” is computed jointly, not stored in off‑the‑shelf embedding spaces.
An object-centric cross-view world model for underwater manipulation and how to actually use it in agents.
Frontier models are now closing real open problems in math, history, and biology; here’s the orchestration pattern builders can actually copy.
How DexTacWAM fuses fingertip touch with video diffusion to control a 22-DoF bimanual manipulator.