Very excited and honored to receive an ERC Starting Grant European Research Council (ERC) for decoding the multi-facets of cellular identity from single-cell data 🎉🎉 We’ll be looking for curious and ambitious people to join our team at all levels. Reach out if you’re interested!

278 participants have competed this year in our annual hackathon! This year we focused on developing solutions that increase productivity. The winners received a 10K ILS prize!

Celebrating the graduation of the second cohort of the Data Science for Social Good program at the Hebrew University!🌟 Led by Yuli Slavutsky, our talented teams of students have been working alongside government institutions and nonprofits to tackle real-world challenges. >>>

Disentanglement of single-cell data with biolord go.nature.com/3U3pdMQ

🚨New #NAACL2024 main 🇲🇽 Paper Alert 🚨 Happy to share our work arxiv.org/abs/2403.01139 🥳 A new pipeline, ParallelPARC ✅ A new benchmark, ProPara-Logy ✅ LLMs & humans evaluation ✅ w. leah bitton Ron Yosef & our Guru🧠Hyadata Lab (Dafna Shahaf)!

Absolutely proud! Prof. Wigderson, a distinguished faculty member from 1986 to 2003, is being honored for his outstanding achievements

קריאה לסטודנטים: תכנית קיץ של מדע הנתונים לטובת הכלל. אם אתם: - תואר שני ושנה ג׳ תואר ראשון מהעברית או: - דוקטורנטים/ות ממוסדות שתחת IDSAI ורוצים פרויקט עם תרומה לקהילה, התנסות מקצועית וגם שכר - לינקים בציוץ הבא Or Rappel-Kroyzer Yuval Benjamini

Excited to share a 13-minute video on our paper, soon to be presented at the NAACL HLT 2025 main conference in Mexico! 🇲🇽 Joint work with my collaborators from Hebrew University HUJI CSE Hyadata Lab (Dafna Shahaf) HUJI NLP 🇮🇱 Yonatan Bitton @ CVPR Ron Yosef youtube.com/watch?v=O1-yuh…

🚨New Paper on Deepfake Detection🚨 We introduce LaDeDa: a state-of-the-art patch-based deepfake detector utilizing only 9x9 patch information❗ We also present Tiny-LaDeDa, a fast, compact, yet accurate distilled version for edge devices. Project: vision.huji.ac.il/ladeda/ 👇

I am excited to share my first work: "Dataset Size Recovery from LoRA Weights". Ever wondered if you could find out how many samples was a model trained on using just its weights? Well now you can! Project: vision.huji.ac.il/dsire/ 👇

🥁And the #cav24 Award goes to...🥁 Clark Barrett Stanford University, David Dill Stanford University, Kyle Julian Wing, Guy Katz HUJI CSE and Mykel Kochenderfer Mykel Kochenderfer Stanford University for their #cav17 paper “Reluplex: An Efficient SMT Solver for Verifying Deep Neural Networks” Congratulations! 👏

[1/7] 📜 I can finally share that our recent @NVIDIA project DiffUHaul --- A Training-Free Method for Object Dragging in Images has been accepted to #SIGGRAPHAsia2024 🎉. Project Page: omriavrahami.com/diffuhaul/

We're excited to head to #EMNLP2024 ⛱️🌴to showcase the latest work from the HUJI NLP group and our collaborators. Check it out! Matanel Oren, Michael Hassid, Eitan Wagner, Gabriel Stanovsky, Omri Abend

Look at the CRAZY domain gap we found in summarization datasets: while English resources are diverse, other languages are mostly restricted to news. Presenting our survey following 130+ datasets in 100+ languages! Explore: github.com/edahanoam/Awes… Gabriel Stanovsky, HUJI NLP 1/6

[1/10] 🚨 We present our recent Snap Inc. project: Stable Flow --- A training-free method that performs various types of image editing operations (e.g., non-rigid editing, object addition and replacement) using flow models. Project page: omriavrahami.com/stable-flow

🚨 New paper (with Eitan Wagner Joe Barnby and Omri Abend) on how we (should) evaluate Theory of Mind in Large Language Models. While recent work claims LLMs have ToM capabilities, we're missing crucial aspects from cognitive science. Here's why this matters 🧵

🎉 PAPER ALERT🗨️: Proposing a new approach for Speech Segmentation and a pipeline that uses speech language models to tackle it. “Unsupervised Speech Segmentation: A General Approach Using Speech Language Models” Paper: arxiv.org/abs/2501.03711 git: shorturl.at/WL0L8

בתכנית קיץ של מדע הנתונים לטובת הכלל אנחנו מחפשים לעזור לעמותות, מלכ״רים, וגם ארגונים ממשלתיים. אם אתם מהנ״ל, ותוכלו להפיק תועלת לציבור מניתוח נתונים שיש בידכם - דברו איתנו ונצוות לכם תלמידי מחקר וחברי סגל. פרטים בקישור cidr.huji.ac.il/he/%D7%9E%D7%9…

We're at #NAACL2025! Presenting: 📍Cross-Lingual and Cross-Cultural Variation in Image Descriptions Thu May 1, 5:00 PM Ruidoso 📍The State and Fate of Summarization Datasets: A Survey Fri May 2, 12:00 PM Ruidoso Uri Berger , Shachar Don-Yehiya, Noam Dahan

🎉 Our paper DOVE 🕊️ has been accepted to #ACL2025 Findings! DOVE 🕊️ is a massive collection (250M!) of LLM outputs across different prompts, domains, and models, aimed at democratizing LLM evaluation research! Thanks to all collaborators! Paper: slab-nlp.github.io/DOVE/