HuggingFace
RobotUse: Allocating Computation, Context, and Decisions
Robot agents must connect their intended actions to observed outcomes while retaining the context needed to revise th...
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HuggingFace
Periscope: Extending Frozen Language Models Beyond Their Context Window
A language model reads long text in one quadratic forward pass, stops at the context window, and loses accuracy with ...
HuggingFace
OpenRUA: Robot-Use Agents Are Zero-Shot Visuomotor Policies
Coding agents are extending their reach into the physical world by writing and executing robot control programs. One ...
HuggingFace
SearchJev: A Fast and Calibrated System-1 Model for Search Agents
Search agents repeatedly make short decisions about relevance, evidence sufficiency, and search actions. Using genera...
HuggingFace
CurveCodec 2: Skeleton-agnostic animation compression with a learned entropy model
Skeletal motion is stored as every joint's transform at every frame, yet most of it is implied by the body rather tha...
HuggingFace
In-Distribution Forcing for Long Video Generation at Test Time
Modern autoregressive (AR) video diffusion models excel at short-horizon video generation, yet generating long videos...
HuggingFace
Learning to Learn a Language
We present the Prior-Fitted Language Model (PFLM), a 300M-parameter byte-level transformer pretrained only on samples...
HuggingFace
Self-Generated Feedback Destabilizes Test-Time Training: A Causal Decomposition of Long-Horizon Adaptation
Test-time training (TTT) lets a model store information in its weights during inference. When the model learns from i...
HuggingFace
Foundations of Proactive Agents: Principles, Technical Layers, and Proactivity-Gym
Proactive LLM agents can turn idle compute into useful support before users ask. Yet even correct work can misread us...
HuggingFace
Optimizing the Optimizer: Language Models Discover Faster Molecular Relaxation
Geometry optimization is a major cost in many quantum-chemical workflows: each optimization step requires one force e...
HuggingFace
Data Unlearning via Inverse Distillation
Multi-step matching models, including flow and diffusion models, produce high-quality outputs but incur substantial i...
HuggingFace
Learning Steadily: Accumulating Relative Point Margin Scores for Face Image Quality Assessment
Face Image Quality Assessment determines the suitability of captured face images for automated face recognition (FR),...