Research Papers
CARDEA Brings Auditable Spatial Reasoning to Coronary Angiography AI
A new vision-language model, CARDEA, uses Chain-of-Box reasoning and reinforcement learning with verifiable rewards to expose the...
Hugging Face Paper Unveils RCWM: Recursive Code World Models for 3D Scene Reconstruction
A new research paper introduces Recursive Code World Models (RCWM), a framework that reconstructs complex 3D worlds as executable...
SpatialBlock: Synthetic Block-Stacking Boosts 3D Spatial Reasoning in LVLMs
Hugging Face paper introduces SpatialBlock-15k, a synthetic dataset of 15,000 block-stacking problems that improves 3D spatial rea...
EvoSafeHarness Evolves Custom Safety Harnesses for LLM Agents
A new framework jointly searches natural-language policies and executable enforcement code to build safety harnesses tailored to a...
SenseNova-U1.5 Debuts as 8B Encoder-Free, VAE-Free Unified Visual Model
SenseNova-U1.5 is an 8B native unified multimodal model that handles visual understanding, reasoning, and generation without encod...
Hugging Face Paper: 8.9B Latent-Space Model Beats OLMo-3-7B With Half the Tokens
NCP-ArchPreview jointly trains next-token and next-concept prediction, reaching OLMo-3-7B's final pretraining loss using only 51.3...
Video LLMs Are Still Costly: Survey Maps 125 Papers on Inference Efficiency
A new survey reviews inference-efficiency mechanisms for video and audiovisual large language models, organizing 125 papers by pip...
HybridAL Cuts Active Learning Training Time by Up to 49% by Switching Retraining to Fine-Tuning
A new EMNLP 2026 paper introduces HybridAL, an adaptive schedule that monitors online stabilization signals to decide when active...
OracleZoom Brings Reference-Constrained Recursive Super-Resolution to Extreme Zoom Levels
A new Hugging Face paper introduces OracleZoom, an on-policy self-distillation-inspired framework that keeps recursive super-resol...
Φ-Bench Tests Whether LLMs Can Engineer the Infrastructure That Runs Them
A new benchmark from Hugging Face–hosted research evaluates large language models on open-ended, long-horizon engineering of the L...
Hugging Face Paper Challenges Full Reasoning Traces in LLM Post-Training
A new paper argues that large language models benefit more from truncated reasoning trajectory endpoints than from complete traces...
PARSER Decouples Reading From Reasoning to Fix Long-Context LLM Agents
A new Hugging Face paper introduces PARSER, a scatter-gather agent architecture that reads document chunks in parallel while a lea...