Jiaqi Wang retweeted
[2/2] GPT-6 Astra brings memory and reasoning to mobile manipulation. 🚀🚀🚀
It learns new behaviors in context from human videos, spots fine details, understands complex scenes, interacts naturally and remembers past interactions.
Embodied intelligence in motion. 👇
Jiaqi Wang retweeted
[1/2] GPT-6 Astra might be the craziest robot policy I’ve seen. 🤯
Give it ONE demo per task, and it can control a real robot to unscrew a bottle cap, insert a plug into a power strip, clear obstacles, and even imitate a human dance.
One context. New behavior. 👇
Jiaqi Wang retweeted
JD just released the first open real-time vision-language interaction model
JoyAI-VL-Interaction is an 8B vision-first model that watches continuously and decides when to speak.
Human evals: 77.6% win vs Doubao, 87.9% vs Gemini.
Jiaqi Wang retweeted
Project page: joyai-vl-video-future-academ…
Paper: paperswithcode.co/paper/2606…
Code: github.com/jd-opensource/Joy…
Fully open: 8B model, training recipe, data, and deployable system.
✨ Today we’re releasing JoyAI-VL-Interaction — our fully open-source real-time vision-language interaction model and system.
🎉 Last month, TML introduced the idea of an “interaction model.” We were exploring a similar direction concurrently, and now we’re open-sourcing the full stack
🧠 Unlike turn-based models, it watches the world with you and decides every second whether to speak, stay silent, or delegate harder tasks to a background agent
It can:
🔥 Alert instantly when fire breaks out or someone falls
🎯 Count, translate, and commentate in real time
📱 Guide you step by step through app interactions
🤖 Delegate complex digital tasks via OpenClaw or Claude Code while continuing to watch
A few things surprised even us:
🤯 With zero app-interface videos in training, it still learned to guide phone-screen shopping flows
⚡ Its timing is what really stands out: an 8B model can speak up at the right moment, while much larger models often rely on external polling and arrive a beat late
🌱 With just 4M samples, it already begins to show an “EQ” for when to respond
We think interaction models may be the next paradigm: models that are truly present in real-time and able to bridge the physical and digital worlds.
🚀 Play and build with us:
🏆 Blog: joyai-vl-video-future-academ…
🤗 HuggingFace: huggingface.co/papers/2606.1…
💻 GitHub: github.com/jd-opensource/Joy…
Jiaqi Wang retweeted
DeepGen 1.0
A lightweight 5B unified multimodal model that outperforms 80B+ giants like HunyuanImage by 28% on WISE and Qwen-Image-Edit by 37% on UniREditBench—proving scale isn't everything
Jiaqi Wang retweeted
Pref-GRPO
Pairwise Preference Reward-based GRPO for Stable Text-to-Image Reinforcement Learning
🚀 Pref-GRPO: A pairwise preference-based GRPO method that tackles reward hacking for T2I models
🎨 UniGenBench: A unified benchmark providing comprehensive, fine-grained evaluation for T2I models across 27 dimensions & 20 scenarios
🤗Leaderboard: huggingface.co/spaces/CodeGo…
🌟Project page: codegoat24.github.io/Unified…
📖Paper: arxiv.org/pdf/2508.20751
Jiaqi Wang retweeted
Explore Pref-GRPO for stable T2I RL & UniGenBench, a comprehensive T2I benchmark, on Hugging Face!
Paper: huggingface.co/papers/2508.2…
Model: huggingface.co/CodeGoat24/FL…
Leaderboard: huggingface.co/spaces/CodeGo…
Jiaqi Wang retweeted
SEAgent autonomously learns through experiential feedback, evolving from specialists to generalists. Key components include a World State Model and Curriculum Generator.
Read the paper: huggingface.co/papers/2508.0…
Try the model: huggingface.co/Zery/SEAgent-…
Jiaqi Wang retweeted
Nvidia's got something new
UnifiedReward-Think is here: a multimodal CoT reward model for both visual understanding and generation
huggingface.co/papers/2505.0…
Jiaqi Wang retweeted
🎉 Excited to introduce IDArb! 🎉
Our method can predict plausible and 𝗰𝗼𝗻𝘀𝗶𝘀𝘁𝗲𝗻𝘁 geometry and PBR material for 𝗮𝗻𝘆 𝗻𝘂𝗺𝗯𝗲𝗿📷 of input images under 𝘃𝗮𝗿𝘆𝗶𝗻𝗴 𝗶𝗹𝗹𝘂𝗺𝗶𝗻𝗮𝘁𝗶𝗼𝗻𝘀☀️ !
Webpage: lizb6626.github.io/IDArb/
Many thanks for your tweeting 👏
InternLM-XComposer-2.5-OmniLive🔥 a specialized generalist multimodal system for streaming video and audio interactions by @intern_lm.
Model: huggingface.co/internlm/inte…
✨ Apache 2.0, but a form is required for a commercial license
🚀 We’re excited to announce the release of InternLM-XComposer2.5-OmniLive (IXC2.5-OL), a comprehensive multimodal system designed for long-term streaming video and audio interactions. This fully open-sourced project delivers functionality similar to Gemini 2.0 Live Streaming and OpenAI Her, with standout features including:
🎥 Chat with Streaming Video & Audio
💾 Long-Term Memory for recalling past video experiences
🏆 Competitive Performance across various video and audio perception benchmarks
📄 Paper: huggingface.co/papers/2412.0…
💻 Code: github.com/InternLM/InternLM…
📦 Models: huggingface.co/internlm/inte…
✨ Immerse yourself in multimodal interaction and create your own app today!
#Gemini2 #OpenAI #ChatGPTAdvancedVoice
Jiaqi Wang retweeted
😻Fine-Grained Visual Attributes for GenAI😻
#NeurIPS2024 🍎FiVA🍊 is a fine-grained visual attributes dataset and a framework that decouples different visual attributes for GenAI
- Project: fiva-dataset.github.io/
- Code: github.com/wutong16/FiVA
- Data: huggingface.co/datasets/FiVA…












