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Hugging Face Paper Unveils Code2Skill: Mining 1M Verifiable Agent Skills from GitHub Code
Code2Skill automatically extracts verifiable procedural skills from source code, producing a bank of over one million records that...
CodeMidas Turns Raw Source Code Into Scalable RL Training Environments for Coding Agents
A new Hugging Face paper introduces CodeMidas, an agentic pipeline that builds executable reinforcement-learning environments dire...
Hugging Face Paper Unveils RecreationWorld for Hybrid Computer-Use Agents
A new Hugging Face paper introduces RecreationWorld, a five-platform framework that trains hybrid computer-use agents to recreate...
EvoOntology Introduces a Self-Evolving Ontology Layer to Close the Agent-Data Gap
A new Hugging Face paper proposes EvoOntology, an MCP-based ontology layer that lets data agents query heterogeneous data at runti...
Qwen Open-Sources Qwen-Image-2.1, a 7B Unified Image Generation and Editing Model
Alibaba's Qwen team has released Qwen-Image-2.1, a compact open-source model that unifies text-to-image generation and image editi...
Hugging Face Paper Unveils UFO: A Unified Framework for Evaluating Multi-Modal Image Generation
UFO introduces a chain-of-evaluation paradigm that decomposes omni-condition alignment into atomic units, achieving a 15.25% avera...
Study Asks What Privileged Answers Really Add to On-Policy Self-Distillation
A new Hugging Face paper introduces AMPLE-Math, a 5,319-problem suite with six reasoning views, to isolate how much a teacher's ac...
When2Think: Difficulty-Aware Length Control Cuts Reasoning Token Use
A new post-training framework, When2Think, dynamically allocates reasoning computation based on problem difficulty, boosting AIME2...
FAMOS Brings Feed-Forward 3D Articulation Modeling to Sparse Views
Hugging Face researchers introduce FAMOS, a feed-forward model that predicts movable-part segmentation and joint parameters from a...
MiniMax-H3 Scores 41.97% on New Physical-World Reasoning Benchmark
A new evaluation framework tests whether the omni-modal model MiniMax-H3 can reason about physical events when each input modality...
VA-Bench Tests Whether Multimodal LLMs Can Actually Act on What They See
A new benchmark from Hugging Face evaluates the full observe-reason-act-revise loop for embodied spatial intelligence, revealing t...
Anthropic Partners with Accenture to Embed Independent Evaluators Inside the Lab
Anthropic is teaming up with Accenture's AI unit, Faculty, to place independent evaluators inside the company, with each side expe...