Research Papers
V-RAE: Rethinking Video Latent Spaces for Generation
Hugging Face researchers introduce V-RAE, a video representation autoencoder that builds compact generative latents from frozen vi...
Why Agent Skills Work—and When They Fail: New Study Reveals the Mechanics
A new study from Hugging Face researchers shows that skills enhance LLM agents primarily by stabilizing execution through procedur...
Agent Lightning v1.0: A Lightweight Framework for Harnessed Agentic RL
Hugging Face researchers introduce Agent Lightning v1.0, a compact framework for harnessed agentic RL that improves coding-agent p...
Hugging Face Unveils CoinVE-200K: A New Frontier in Compositional Video Editing
A new dataset, benchmark, and 22B model enable compositional instruction-guided video editing with multi-region attention and temp...
TAMP-Nav: Aligning VLMs with 2D Visual Prompting for Efficient Embodied Navigation
Hugging Face researchers introduce TAMP-Nav, a unified framework that aligns vision-language models with 2D visual prompting, sele...
Agentic ESOpt: Fine-Tuning Long-Horizon LLM Agents with Minimal GPU Requirements
A new paper from Hugging Face introduces Agentic ESOpt, a framework using evolution strategies for full-parameter fine-tuning of l...
FreeToken: Bringing Frontier-Scale MoE Models to Personal Machines
Hugging Face researchers introduce FreeToken, an edge-native serving system that dynamically maps computation and model state onto...
ASI-Bench: New Benchmark Tests AI's Scientific Autonomy, Reveals Heavy Dependence on Human Guidance
Researchers introduce ASI-Bench, the first benchmark to evaluate AI's innovative exploration and autonomous scientific execution a...
GRNEdit: Lightweight Two-Stage Framework for Efficient Video Editing
Researchers introduce GRNEdit, a lightweight two-stage framework that models video editing intent via binary semantic decisions, a...
Hugging Face Researchers Shave Matrix Multiplication Exponent to 2.371177
A new paper from Hugging Face improves the upper bound on the matrix multiplication exponent ω to 2.371177, using a reformulated o...
New Framework Maps Cognitive Risks in Agentic AI Systems
Researchers propose a three-level framework to analyze risks induced by expanding cognitive capabilities in LLM-based agentic syst...
MegaParts: Scaling Part-Aware 3D Generation to 300 Parts with Token-Efficient Autoregressive Modeling
Hugging Face researchers introduce MegaParts, a scalable autoregressive framework that uses token-efficient vector-quantized part...