Milan is awesome!

Instagram: photo of Kim Kardashian’s ass is OK Also Instagram:

📌Call for 10 scholarships for research on Data Science for Social Good at ISI Foundation, supported by Fondazione CRT's Lagrange Project #dataforgood #data4good More details here ➡️ bit.ly/3HLFD6h

nature.com/articles/d4158… The end of the #twitter research era. See my take in nature #socialcomputing #twitterapi #epidemicintelligence #bigdata #endoftheroad

📄 Checkout our paper, accepted at #SEMANTICS 2023 🎉, where we show how pre-trained language models can generate concise and informative summaries for DBpedia entities 🚀 👥 This is joint work with Fedor Vitiugin, Mohamed Sherif, Carlos Castillo , Prof. Dr. Axel Ngonga 🤝

Now happening: "Using Pre-trained Language Models for Abstractive #DBpedia Summarization: A Comparative Study" at #SemanticsConf.

Woohoooo!!!

Fedor Vitiugin Fedor Vitiugin at @ICWSM #VulnerableWorkshop on multilingual communication by migrants: Unraveling Code-Mixing Patterns in Migration Discourse: Automated Detection and Analysis of Online Conversations on Reddit w/ Sunok Lee et al Read here: workshop-proceedings.icwsm.org/abstract.php?i…

What a wonderful time of the year to visit Niagara falls with fellow ICWSM community. Thank you for the trip ICWSM Arianna Pera Samantha Phillips Smriti Utkucan Balcı #icwsm24 #icwsm2024

Fedor Fedor Vitiugin presents his work on detecting messages asking for help across languages and regions, focusing on 2023 Turkey-Syria earthquake as one of the cases. Check out the paper: ojs.aaai.org/index.php/ICWS… #icwsm24

As you get excited about products revealed at #WWDC24, let me remind you that institutions in this country regularly pay recyclers to destroy tens of millions of perfectly good devices that you were just as excited about only a few years ago. #righttoreuse #righttorepair

Two PhD positions on AI and Epidemics at ISI Foundation. More info here: isi.it/news/2024-06-p…

Happy to share the first models I contributed to as a part of OpenEuroLLM HPLT projects and TurkuNLP group :)

#HPLT v3.0 Dataset is OUT! 🚀 A massive leap in multilingual data quality & scale with: 📈 73% unique segments (up from 52%) 🌐 Better text extraction and langID 🔄 Global deduplication, cleaner corpus Ideal for training better multilingual models 🔗hplt-project.org/datasets/v3.0

Describing HPLT datasets in depth is an essential part of our commitment as data curators: 🆕HPLT 3.0: Very Large-Scale Multilingual Resources for LLM and MT. Mono- and Bi-lingual Data, Multilingual Evaluation, and Pre-Trained Models: arxiv.org/abs/2511.01066 We are on🔥at #HPLT