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DART-SD: A New Framework to Fix Multi-Turn Tool-Calling Agents by Targeting Critical Breakpoints
Hugging Face researchers introduce DART-SD, a topology-aware self-distillation framework that models tool-use trajectories as diam...
LoopArena: New Benchmark Tests AI Models as Runtime Controllers for Coding Agents
Hugging Face researchers introduce LoopArena, a benchmark that evaluates how well a controller model guides a separate coding agen...
Hugging Face Unveils StepGuard: Step-Level Guardrails for Safer AI Agents
StepGuard, a new step-level guard model from Hugging Face, audits agent actions before execution, reducing attack success rates by...
Hugging Face Researchers Unveil ABot-Recon for Stable Long-Horizon 3D Reconstruction
ABot-Recon, a new streaming 3D reconstruction model from Hugging Face, achieves stable long-horizon performance using only local t...
ContextPilot: Teaching Agents Proactive Context Management via Fine-Grained RL
Hugging Face researchers introduce ContextPilot, a framework that enhances long-horizon agent reasoning by expanding context-editi...
VLAct: Representation-Centric Pre-Training Boosts VLA Models Beyond Data Scaling
A new Hugging Face paper introduces VLAct, a continued pre-training approach for vision-language-action models that preserves VLM...
Hugging Face Unveils J-Zero: A Self-Evolving AI Framework That Improves Without Human Data
J-Zero, a new framework from Hugging Face, enables language models to self-improve across both verifiable and unverifiable domains...
Hugging Face Unveils Code-as-World: Executable Code as a New Paradigm for Physical Reasoning in AI
Researchers at Hugging Face introduce Code-as-World, a paradigm that represents physical environments as executable code, enabling...
Hugging Face Audit: 110 of 124 AI Evaluations Fail to Support Their Claims
A new commit-bound census of 124 Inspect Evals units reveals that 110 stop before deterministic inference due to missing historica...
Aphanta: New Framework Diagnoses When Image Editing Boosts Multimodal Reasoning
Hugging Face researchers introduce Aphanta, a diagnostic framework that evaluates when image-editing intermediates improve multimo...
EditaLive! Enables Real-Time Character Video Editing for Live Streaming
Hugging Face researchers introduce EditaLive, a framework for real-time human-centric video editing in live streams, achieving sta...
Hugging Face Researchers Unveil Agentic Framework for Consistent Multi-Shot Video Editing
A new agentic framework combining LLMs and VLMs tackles the challenge of editing long multi-shot videos with multiple instructions...