Xin Wang (@xinw

Xin Wang

293 posts

Xin Wang

@xinw_ai

Research @Meta l Ex OpenAI, Microsoft Research | @Berkeley_EECS PhD

San Francisco, CA

Joined August 2013

Pinned
Xin Wang
@xinw_ai
Apr 8
Muse Spark is here: our first milestone towards personal intelligence! It’s been such an honor working with the coolest people for the past nine months cooking this model. Check out the model and let us know what you think!
Alexandr Wang
@alexandr_wang
Apr 8
1/ today we're releasing muse spark, the first model from MSL. nine months ago we rebuilt our ai stack from scratch. new infrastructure, new architecture, new data pipelines. muse spark is the result of that work, and now it powers meta ai. 🧵
Xin Wang
@xinw_ai
May 10, 2021
Life update: today is my first day at @MSFTResearch! Super excited to work with awesome colleagues and friends here in the space of computer vision & machine learning! Reach out to chat. :D
Xin Wang
@xinw_ai
Aug 5, 2025
🚀 Say hello to gpt-oss model! Excited to see the work is finally out :D
OpenAI
@OpenAI
Aug 5, 2025
Our open models are here. Both of them. openai.com/open-models
Xin Wang
@xinw_ai
Jun 11, 2025
It will be good. 🚀
Sam Altman
@sama
Jun 10, 2025
we are going to take a little more time with our open-weights model, i.e. expect it later this summer but not june. our research team did something unexpected and quite amazing and we think it will be very very worth the wait, but needs a bit longer.
Xin Wang
@xinw_ai
Oct 30, 2021
The computer vision group at @MSFTResearch is looking for research interns! Please retweet to spread the word! 🙏 More at careers.microsoft.com/us/en/job/1196…
Xin Wang
@xinw_ai
Aug 24, 2021
🌀CycConf: Robust Object Detection via Instance-Level Temporal Cycle Confusion at #ICCV2021. We introduce a new self-supervised task on videos to improve the out-of-domain generalization of object detectors. arXiv: arxiv.org/abs/2104.08381 Code: github.com/xinw1012/cycle…
Xin Wang
@xinw_ai
Jun 19, 2022
Hi friends at #CVPR2022, I'm going to talk at the #DynamicNN workshop at 2:30 PM in Great Hall C today. This is my first in-person talk after over two years. Cannot wait to meet you all and chat! Thank the organizers for putting it together! See program details below. 👇
Xin Wang
@xinw_ai
Jul 23, 2023
Made it to ICML this morning. I will be at Microsoft Booth from 10-11am Tuesday and Wednesday this week. And ping me if you are around too. Looking forward to meeting new and old friends 🤩
Xin Wang
@xinw_ai
Apr 23, 2024
We are releasing phi-3 mini today! Finally, we have an open-sourced SLM (3.8B) at GPT-3.5 level! Checkout the models and technical report at here huggingface.co/microsoft/Phi-… 🥳
Sebastien Bubeck
@SebastienBubeck
Apr 23, 2024
phi-3 is here, and it's ... good :-). I made a quick short demo to give you a feel of what phi-3-mini (3.8B) can do. Stay tuned for the open weights release and more announcements tomorrow morning! (And ofc this wouldn't be complete without the usual table of benchmarks!)
00:00
Xin Wang
@xinw_ai
Jul 18, 2023
It turns out **refocusing** the attention of a pre-trained model can help build customized models for your new tasks at test time. TOAST is lightweight (on par or even less than LoRA, etc.) and sees substantial improvements in adapting LLMs, vision foundation models, etc. And
Baifeng
@baifeng_shi
Jul 17, 2023
We have lots of cool algorithms (fine-tuning, LoRA, prompt tuning...) that can adapt a pre-trained model to a downstream task, but what do they MISS? Surprisingly, we find models trained with these algorithms have trouble with focusing their attention!
Xin Wang
@xinw_ai
May 31, 2023
Thanks @_akhaliq for sharing the work! We will release the data and demo shortly. Stay tuned! Great collaboration with @tianjun_zhang @YiZhangZZZ @VibhavVineet @neelsj
AK
@_akhaliq
May 31, 2023
Controllable Text-to-Image Generation with GPT-4 introduce Control-GPT to guide the diffusion-based text-to-image pipelines with programmatic sketches generated by GPT-4, enhancing their abilities for instruction following. Control-GPT works by querying GPT-4 to write TikZ code,
Xin Wang
@xinw_ai
Mar 27, 2022
BDD100K tracking challenge is live at #CVPR2022 Looking forward to your participation!
Fisher Yu
@DrFisherYu
Mar 27, 2022
Our BDD100K (bdd100k.com) tracking challenges at CVPR 2022 are now live! We hope our challenges can lead to new advances in computer vision and new pragmatic algorithms on self-driving cars. Challenge details: go.yf.io/bdd100k-cvpr22
GIF
Xin Wang
@xinw_ai
May 30, 2022
New work on OOD detection! 👇👇
Sean Du
@xuefeng_du
May 28, 2022
Excited to release our #CVPR2022 oral paper STUD, a powerful unknown-aware object detection framework that safeguards against OOD objects. STUD is the first to leverage videos in the wild and teaches models to tell apart known and unknowns. (1/n) Paper: arxiv.org/abs/2203.03800.
Xin Wang
@xinw_ai
Nov 15, 2023
Super excited about the announcement of Phi-2 from our team at MSR!!
Sebastien Bubeck
@SebastienBubeck
Nov 15, 2023
Microsoft💜Open Source + SLMs!!!!! We're so excited to announce our new *phi-2* model that was just revealed at #MSIgnite by @satyanadella! At 2.7B size, phi-2 is much more robust than phi-1.5 and reasoning capabilities are greatly improved too. Perfect model to be fine-tuned!