🔥The 9th Round of Easy Loan, Earn $40 Reward is in progress❗️ ⏰ Promotion Period: January 15th - Feburary 15th, 2025 👉 Register now and check more details at gate.io/campaigns/358

Tired of using chat-based interfaces to polish your #ICML2024, #CSCW2024, and #FAccT2024 papers with LLMs? Try Wordflow, a highly customizable and social AI writing assistant! You can discover and share AI prompts, and run them with various LLM models. 👉poloclub.github.io/wordflow/

Prompting LLMs for Table Understanding A new framework to improve understanding of tabular information with LLMs. Inspired by Chain-of-Thought prompting, it instructs LLMs to dynamically plan a chain of operations that transforms a complex table to reliably answer the input

Now you can run open-source LLMs, such as Llama 2 and Phi 2, locally in Wordflow! ✨ With these on-device LLMs, you can privately run AI prompts in Wordflow without worrying about sending sensitive data to external AI services like OpenAI! 👉 poloclub.github.io/wordflow/

Three more years! Congratulations to Elizabeth Cherry, School of CSE associate professor and associate chair for academic affairs, on her reelection as a council member of SIAM! 🗳️3⃣🥳 Georgia Tech Computing SIAM

📝 New from FAIR: An Introduction to Vision-Language Modeling. Vision-language models (VLMs) are an area of research that holds a lot of potential to change our interactions with technology, however there are many challenges in building these types of models. Together with a set

Autoregressive Model Beats Diffusion Llama for Scalable Image Generation We introduce LlamaGen, a new family of image generation models that apply original ``next-token prediction'' paradigm of large language models to visual generation domain. It is an affirmative

⚡️This is the most fun project! We built PyTorch-for-text! 🔥 #TextGrad: automated "differentiation" via text to optimize AI systems by backpropagating LLM text feedback. TextGrad + GPT4o: 💻LeetCodeHard best score ❓GPQA sota 🧬Designs new molecules 🩺Improves treatments 🧵

Recognizing Dr. Amir Ali Rahsepar who joined our team a few months ago. He completed his residency in diagnostic radiology at Yale New Haven Health, Bridgeport Hospital, and his fellowship in Cardiothoracic imaging at UCLA. Glad to have you with us, Dr. Rahsepar! Northwestern Medicine

I'm sharing a public version of my talk slides CGSI-The Computational Genomics Summer Institute two weeks ago - an update from my #LLMs #compbio Primer talk last year - w/ a focus on genomics FMs (DNA, scRNA). As we're exploring related topics, we remain very interested but also skeptical. 1/3 cs.cmu.edu/~jianma/talks/…

An LLM memorization riddle: A Pythia-6.9B checkpoint generates the following Output, which occurs only 1 time in the Pile. Is this a verbatim memorization?

In this targeted editorial, Drs. Amir A Rahsepar and Kim discuss the potential clinical applications of high-field-strength (5-T) coronary MR angiography. doi.org/10.1148/radiol…

Read the commentary of Dr. Rahsepar and Dr. Kim on how cutting-edge high-field-strength scanners are opening new possibilities in noninvasive coronary imaging. Check it out in the latest issue of Radiology! bit.ly/48kQNtZ #CardiacImaging #MRI #Radiology

Don't miss presentations by Neda Tavakoli, Maria Davo Jimenez, Cagdas Topel, Thara Nallamothu, and David Dushfunian on Saturday at #SCMR2025. Society for Cardiovascular Magnetic Resonance David Dushfunian Neda Tavakoli Çağdaş Topel

🚨 Excited to share our latest publication in the highly prestigious journal Radiology! 🚨 📖 "AI-generated Clinical Histories for Radiology Reports: Closing the Information Gap" Proud to collaborate with Dr. Daniel Kim! 🚀🔬 #AI #Radiology #NURadiology

In this targeted editorial, Drs. Tavakoli (@neda_tv) and Kim of Northwestern Radiology comment on the use of generative AI to synthesize critical clinical information from complex health record data. doi.org/10.1148/radiol…

Dr. Neda Tavakoli and Dr. Daniel Kim have published in Radiology, "AI-generated Clinical Histories for Radiology Reports: Closing the Information Gap." It explores how GPT-4 is transforming radiology workflows by generating AI-powered clinical histories. #AI #MedicalInnovation

In February we feature Northwestern's #cardiovascular and #thoracic imaging research. Neda Tavakoli uses #AI in cardiac analysis. Neda Tavakoli #CV #MRI

🚨 New in @Radiology_RSNA: Dr. Dan Kim & Dr. Neda Tavakoli Neda Tavakoli from Northwestern Feinberg School of Medicine explore how GPT-4 can auto-generate complete clinical histories from EHRs. 📰 rsna.org/news/2025/july… #Radiology #AIinHealthcare #LLMs #GPT4 #RSNA #MedicalAI