@AdinaYakup: 3 open models from GroundingPI A collab project by @XPENG_Global , PKU and HKU. Models + Demos + papers, all on the hub…
Summary
GroundingPI 与 XPeng、北大、港大合作发布了3个开源模型：4B基础模型（检测、指代、OCR等多能力）、基于扩散并行解码的快速grounding模型GroundAnything，以及自回归VLM版本的高精度grounding模型。
View Cached Full Text
Cached at: 10/14/26, 02:01 PM
3 open models from GroundingPI 🔥 A collab project by @XPENG_Global , PKU and HKU.
Models + Demos + papers, all on the hub!
✨ GroundingPI 4B foundation model for multiple grounding capabilities: detection, pointing, OCR etc.
✨ GroundAnything Faster grounding through diffusion based parallel decoding
✨ GroundAnything VLM High accuracy grounding with autoregressive VLM
Similar Articles
GroundingPI: A Grounding Foundation Model towards Physical Intelligence with Visual Primitives
GroundingPI：一个 4B 参数的视觉定位基础模型，以量化坐标生成点与框，在 34 个定位基准上以 73.68% 平均成绩超越 GPT-6 Astra 等 44 个基线，并在机器人操作与自动驾驶下游任务中显著提升性能。
GroundAnything: Reconciling Parallel Decoding with Precise Visual Grounding at Flash Speed
GroundAnything 提出一个 4B 参数的视觉定位基础模型，通过块状去噪协调并行解码与精确定位，在 30 个 grounding 基准上取得同类模型新 SOTA（72.42%），并借助自投机解码实现 4.51 倍加速。
@karminski3: Finally, a useful local DeepResearch is available! I've packaged a skill for everyone, ready to use out of the box. The driving model is Apodex's newly released open-weight DeepResearch fine-tuned model Apodex-1.0-mini (now available a…
Apodex has released an open-weight DeepResearch fine-tuned model, Apodex-1.0-mini, based on Qwen3.5-35B-A3B. It scores 71.5 on BrowseComp, approaching flagship model performance, and can run efficiently locally. The author packaged an out-of-the-box skill.
GroundGUI: GUI Grounding by High-Quality Data and Distillation-to-Reinforcement Learning
提出 ScreenRef 高质量 GUI grounding 数据集（586K 截图、633K 指代表达实例）和 Distillation-to-Reinforcement Learning（D2RL）训练方法，训练出 GroundGUI-8B，在 ScreenSpot-V2 等多个基准上取得 8B 级模型中的领先性能。
@HuggingPapers: Microsoft just released Phi-Ground-Any on Hugging Face A 4B parameter vision model for GUI grounding that achieves SOTA…
Microsoft has released Phi-Ground-Any, a 4B parameter vision model for GUI grounding on Hugging Face that achieves state-of-the-art results, enabling AI agents to precisely interact with screen elements.