HuggingFace

Hy-Embodied-0.5-VLA: From Vision-Language-Action Models to a Real-World Robot Learning Stack

In this report, we present Hy-Embodied-0.5-VLA, abbreviated as HyVLA-0.5, an end-to-end system that spans the full ro...

AI 聚合
2026-06-15
HuggingFace

Avatar V: Scaling Video-Reference Avatar Video Generation

Generating avatar videos that are not merely visually similar to a target individual but behaviorally recognizable, f...

AI 聚合
2026-06-15
HuggingFace

Orchestra-o1: Omnimodal Agent Orchestration

The recent success of agent swarms has shifted the paradigm of large language model (LLM)-based agents from single-ag...

AI 聚合
2026-06-15
HuggingFace

LLM Agents Can See Code Repositories

Coding agents powered by large language models have demonstrated strong performance on software engineering tasks. Ye...

AI 聚合
2026-06-15
HuggingFace

RepFusion: Leveraging Multimodal Priors for Denoising in Representation Space

Large language models (LLMs) are widely used in text-to-image (T2I) systems, but they are typically limited to text e...

AI 聚合
2026-06-15
HuggingFace

OmniDirector: General Multi-Shot Camera Cloning without Cross-Paired Data

Cloning camera motion from reference videos is an important task in video generation, as videos provide intuitive and...

AI 聚合
2026-06-15
HuggingFace

MBench: A Comprehensive Benchmark on Memory Capability for Video World Models

Recent advancements in video-based world models have demonstrated an unprecedented ability to synthesize high-fidelit...

AI 聚合
2026-06-15
HuggingFace

RedAct: Redacting Agent Capability Traces for Procedural Skill Protection

Users rely on execution traces to observe agent behavior, diagnose failures, and ensure accountability. These traces ...

AI 聚合
2026-06-15
HuggingFace

RhymeFlow: Training-Free Acceleration for Video Generation with Asynchronous Denoising Flow Scheduling

Video generation models based on Diffusion Transformers (DiTs) have achieved remarkable performance in video synthesi...

AI 聚合
2026-06-15
HuggingFace

APPO: Agentic Procedural Policy Optimization

Recent advances in agentic Reinforcement Learning (RL) have substantially improved the multi-turn tool-use capabiliti...

AI 聚合
2026-06-15
HuggingFace

Benchmarking AI Agents for Addressing Scientific Challenges Across Scales

AI agents are increasingly being developed to accelerate scientific discovery, yet their practical capabilities in re...

AI 聚合
2026-06-15
HuggingFace

Smaller Models are Natural Explorers for Policy-Level Diversity in GRPO

We identify a new dimension for enhancing rollout diversity in Group Relative Policy Optimization (GRPO) for LLMs. Wh...

AI 聚合
2026-06-15
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