Hanwen Xu (@hanwenxu6) 's Twitter Profile
Hanwen Xu

@hanwenxu6

PhD student at CSE, UW @uwcse

ID: 1505739291867381760

calendar_today21-03-2022 02:53:26

53 Tweet

124 Followers

181 Following

Hanwen Xu (@hanwenxu6) 's Twitter Profile Photo

I’m a little surprised. I love working on-site but that really depends on people’s own style. More important to find the one that matches best.

Sheng Zhang (@sheng_zh) 's Twitter Profile Photo

🤯Medprompt isn't just for medical queries. GPT-4 achieves 90.1% on MMLU with MedPrompt+, outperforming Gemini across the board! 🏆Dive into the promptbase on GitHub (github.com/microsoft/prom…) to unleash the power of advanced AI! #AI #GPT4 #Medprompt

🤯Medprompt isn't just for medical queries. GPT-4 achieves 90.1% on MMLU with MedPrompt+, outperforming Gemini across the board! 🏆Dive into the promptbase on GitHub (github.com/microsoft/prom…) to unleash the power of advanced AI! #AI #GPT4 #Medprompt
Tong Chen (@tomchen0) 's Twitter Profile Photo

❗With dense retrieval, the unit in which you segment a retrieval corpus (passage, sentence, etc) may impact performance by more than you thought! We introduce a novel retrieval unit, proposition, for dense retrieval. chentong0.github.io/factoid-wiki/ [1/7]

❗With dense retrieval, the unit in which you segment a retrieval corpus (passage, sentence, etc) may impact performance by more than you thought!

We introduce a novel retrieval unit, proposition, for dense retrieval.

chentong0.github.io/factoid-wiki/
[1/7]
Lior⚡ (@alphasignalai) 's Twitter Profile Photo

New breakthrough from Microsoft: 1-bit LLMs. New models that use ternary values (-1, 0, 1) instead of 16-bit. This makes them 2.7x faster, use 3.5x less GPU memory, and 71x less energy. Bitnet also matches or outperformed traditional models like LLaMA 3B.

New breakthrough from Microsoft: 1-bit LLMs.

New models that use ternary values (-1, 0, 1) instead of 16-bit.

This makes them 2.7x faster, use 3.5x less GPU memory, and 71x less energy.

Bitnet also matches or outperformed traditional models like LLaMA 3B.
Su-In Lee (@suinleelab) 's Twitter Profile Photo

Honored to deliver a distinguished keynote at ISMB 2024! Join us in Montreal this July 12-16: iscb.org/ismb2024/progr…

Eric Topol (@erictopol) 's Twitter Profile Photo

Generative #AI for medical images: incorporating synthetic images in diffusion models improved fairness, accuracy for underrepresented people nature.com/articles/s4159… Nature Medicine Ira Ktena Sven Gowal Alan Karthikesalingam Google DeepMind

Hanwen Xu (@hanwenxu6) 's Twitter Profile Photo

🔥🔥Super excited to share our GigaPath paper nature! Model: huggingface.co/prov-gigapath/… Code: github.com/prov-gigapath/… Really enjoy the journey towards ultimate patient care and clinical discovery! This is just the beginning!

Diogo Barardo, PhD. & Time Breaker (@barardod) 's Twitter Profile Photo

🚀 Exciting news! Su-In Lee, Matt Kaeberlein, and Wei Qiu's groundbreaking research has led to NOVOS Labs' free non-invasive and state-of-the-art AI-driven biological age test. Now, anyone can gain accurate longevity insights through a simple questionnaire and the free NOVOS

Allen School (@uwcse) 's Twitter Profile Photo

#UWAllen’s Sheng Wang & Hanwen Xu worked with Microsoft Research & @Providence to create Prov-GigaPath, a whole-slide #AI model for digital pathology that achieves state-of-the-art performance on cancer subtyping and mutation prediction tasks. In nature: news.cs.washington.edu/2024/05/29/in-…

Sheng Zhang (@sheng_zh) 's Twitter Profile Photo

With the fast-growing interest in multi-image understanding, where can we find a high-quality, comprehensive & robust benchmark? A group of talented students have created ᴍᴜɪʀʙᴇɴᴄʜ, a long-awaited multi-image benchmark, with 2.6k multi-choice Qs and over 10k images. (1/6)

With the fast-growing interest in multi-image understanding, where can we find a high-quality, comprehensive & robust benchmark? A group of talented students have created ᴍᴜɪʀʙᴇɴᴄʜ, a long-awaited multi-image benchmark, with 2.6k multi-choice Qs and over 10k images. (1/6)
Peter Lee (@peteratmsr) 's Twitter Profile Photo

I think we may be approaching a tipping point in AI for medical imaging. Incredible progress at the #CVPR2024 workshop on foundation models for medical imaging. Our teams were pleased to share work Microsoft Research on #Biomeparse and #GigaPath to standing-room only audience.

I think we may be approaching a tipping point in AI for medical imaging. Incredible progress at the <a href="/CVPR/">#CVPR2024</a> workshop on foundation models for medical imaging. Our teams were pleased to share work <a href="/MSFTResearch/">Microsoft Research</a> on #Biomeparse and #GigaPath to standing-room only audience.
James Zou (@james_y_zou) 's Twitter Profile Photo

🔬In latest Nature Biomedical Engineering paper, we introduce a new platform for clinician+AI collaboration: nuclei Most medical AI is one-size-fits-all. But different clinicians have diff use cases/requirements. Nuclei enables user to rapidly personalize AI via active QA nature.com/articles/s4155… 1/4