Research Director at JoyAI

Hong Kong
Joined June 2020
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. 👇
[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. 👇
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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. 👇
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Jiaqi Wang retweeted
JoyAI-VL-Interaction Real-Time Vision-Language Interaction Intelligence
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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.
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✨ 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…
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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
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Jiaqi Wang retweeted
Pref-GRPO Pairwise Preference Reward-based GRPO for Stable Text-to-Image Reinforcement Learning
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🚀 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…
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Thanks for tweeting our work🍻
CODA Coordinating the Cerebrum and Cerebellum for a Dual-Brain Computer Use Agent with Decoupled Reinforcement Learning
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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-…
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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…
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🎉 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/
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Thanks so much for tweeting our work!
InternLM-XComposer2.5-OmniLive A Comprehensive Multimodal System for Long-term Streaming Video and Audio Interactions
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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
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🚀 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
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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…
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