Jianwei Yang @jw2yang4ai
Research Scientist at @Meta SuperIntelligence Lab; ex-MSR; Core contributor of Project Florence, Phi-3V, Omniparser; Inventor of FocalNet, SEEM, SoM and Magma. jwyang.github.io Redmond, WA Joined July 2016-
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VLM struggles badly to interpret 3D from 2D observations, but what if it has a good mental model about the world? Checkout our MindJourney - A test-time scaling for spatial reasoning in 3D world. Without any specific training, MindJourney imagines (acts mentally) step-by-step…
VLM struggles badly to interpret 3D from 2D observations, but what if it has a good mental model about the world? Checkout our MindJourney - A test-time scaling for spatial reasoning in 3D world. Without any specific training, MindJourney imagines (acts mentally) step-by-step…
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Jianwei Yang retweeted
VLMs often struggle with physical reasoning tasks such as spatial reasoning. Excited to share how we can use world models + test-time search to zero-shot improve spatial reasoning in VLMs!
VLMs often struggle with physical reasoning tasks such as spatial reasoning. Excited to share how we can use world models + test-time search to zero-shot improve spatial reasoning in VLMs!
Wow, this is so cool! Have been dreaming of building agents that can interact with humans via language communications, and the world via physical interaction (locomotion, manipulation, etc). Definitely a great step-stone and playground!
Wow, this is so cool! Have been dreaming of building agents that can interact with humans via language communications, and the world via physical interaction (locomotion, manipulation, etc). Definitely a great step-stone and playground!
Jianwei Yang retweeted
check our poster at 240 on exhibition hall D at 10:30 today!
check our poster at 240 on exhibition hall D at 10:30 today!
Our afternoon session is about to start very soon with Prof. @RanjayKrishna at Room 101B!
Our afternoon session is about to start very soon with Prof. @RanjayKrishna at Room 101B!
🔥@CVPR2025 CVinW 2025 is about to take place very soon!! We have a plenty of great talks and spotlight talks upcoming (@BoqingGo, @RanjayKrishna @furongh @YunzhuLiYZ @sainingxie @CordeliaSchmid, Shizhe Chen). Look forward to seeing you all at 101B from 9am-5pm, June 11th!…
🔥@CVPR2025 CVinW 2025 is about to take place very soon!! We have a plenty of great talks and spotlight talks upcoming (@BoqingGo, @RanjayKrishna @furongh @YunzhuLiYZ @sainingxie @CordeliaSchmid, Shizhe Chen). Look forward to seeing you all at 101B from 9am-5pm, June 11th!… https://t.co/3XnOmsrcML
Jianwei Yang retweeted
Jianwei Yang retweeted
Our community-led Computer Vision group is thrilled to host @jw2yang4ai, Principal Researcher at Microsoft Research for a session on "Magma: A Foundation Model for Multimodal AI Agents" Thanks to @cataluna84 and @Arkhymadhe for organizing this speaker session 👏
Hope you all had a great #NeurIPS2025 submissions and have a good rest! We are still open to submissions to our CVinW workshop at @CVPR! Welcome to share your work on our workshop with a few clicks! 👉Submit Portal: openreview.net/group?id=thecv…
Hope you all had a great #NeurIPS2025 submissions and have a good rest! We are still open to submissions to our CVinW workshop at @CVPR! Welcome to share your work on our workshop with a few clicks! 👉Submit Portal: openreview.net/group?id=thecv…
Jianwei Yang retweeted
The latest episode of the Derby Mill Podcast is just out and focused on the "Era of Experience" paper by David Silver and myself. Substack: insights.intrepidgp.com/p/welcome-to-t… Spotify: open.spotify.com/episode/254sxl… Apple: podcasts.apple.com/us/podcast/wel… YouTube: youtube.com/watch?v=dhfJfQ…
Jianwei Yang retweeted
Introducing Phi-4-reasoning, adding reasoning models to the Phi family of SLMs. The model is trained with both supervised finetuning (using a carefully curated dataset of reasoning demonstration) and Reinforcement Learning. 📌Competitive results on reasoning benchmarks with…
Jianwei Yang retweeted
We only need ONE example for RLVR on LLMs to achieve significant improvement on math tasks! 📍RLVR with one training example can boost: - Qwen2.5-Math-1.5B: 36.0% → 73.6% - Qwen2.5-Math-7B: 51.0% → 79.2% on MATH500. 📄 Paper: arxiv.org/abs/2504.20571…
Jianwei Yang retweeted
I am excited to announce that I am not at #ICLR presenting Matryoshka Multimodal Models matryoshka-mm.github.io. 😀 But rather, I am online at Bay Area. Ping me if you have any questions or ideas w.r.t paper! Feel free to read the poster at Hall 3 + Hall 2B #86 this morning!
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机器之心 JIQIZHIX... @jiqizhixin
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