Lorenzo Lupo
@lorelupo
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processing natural language to tackle social and economic challenges @Unibocconi @MilaNLProc
Milan
Joined January 2022
Can AI simulate human behavior? 🧠 The promise is revolutionary for science & policy. But there’s a huge "IF": Do these simulations actually reflect reality? To find out, we introduce SimBench: The first large-scale benchmark for group-level social simulation. (1/9)
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It was a pleasure to work with great co-authors @paulromanbose @MahyarHabibi007 @dirk_hovy and Carlo Schwarz @MilaNLProc
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🎊 New paper accepted at @LrecColing! DADIT contains 20k Italian Twitter users and their content, labelled with their demographics. Demographic classifiers trained on DADIT significantly outperform popular classifiers like M3 thanks to the use of tweets. https://t.co/ijLZWQKIQw
arxiv.org
Social scientists increasingly use demographically stratified social media data to study the attitudes, beliefs, and behavior of the general public. To facilitate such analyses, we construct,...
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Very interesting dataset:
#MemoryMonday #NLProc "DADIT: A Dataset for Demographic Classification of Italian Twitter Users and a Comparison of Prediction Methods" by Lupo et al. presents a 30M tweet corpus from 20k Italian users with demographics and compares prediction methods. https://t.co/r8fU8Hjl46
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There are many concerns around LLMs being politically biased. But how, if at all, can we meaningfully evaluate values/opinions in LLMs? In our new paper, we show that current *constrained* evals (e.g. surveys) likely tell us little about LLM values/opinions in the real world 🧵
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New paper accepted at @LrecColing 🥳 Check it out:
✨"DADIT: A Dataset for Demographic Classification of Italian Twitter Users" contains 20k Italian Twitter users labeled with their demographics and their content. The demographic classifiers trained on DADIT outperform SOTA like M3 thanks to the use of tweets.
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📜The @MilaNLProc lab has 5 papers accepted at the upcoming conferences (@LrecColing, @eaclmeeting, @iclr_conf). Here's a tl;dr for each of them ⤵️ 🧵 #LRECCOLING2024 #EACL2024 #ICLR2024 #NLProc
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📆Reminder📆: The #WOAH2024 submission deadline is March 10, anywhere on Earth! See CFP: https://t.co/LANfKwNGBf
#NAACL2024 #NLProc
workshopononlineabuse.com
The 9th Workshop on Online Abuse and Harms (WOAH) at ACL 2025.
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Indeed, @SafeConvAI 2024 kindly welcomes safety-related work, consider submitting! 🚀 https://t.co/y6oTc69Gxz
sites.google.com
If you are attending in person, the workshop will be in Room 13 (Bruxelles) WORKSHOP PARTICIPANTS: PLEASE JOIN OUR SLACK CHANNEL! All links for online participation will be posted there as well as...
If you woke up to a rejection from @LRECCOLING, have some coffee, a good cry, and consider submitting @SafeConvAI Workshop! 👀
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For this week's @MilaNLProc reading group, @lorelupo presented "Value Kaleidoscope: Engaging AI with Pluralistic Human Values, Rights, and Duties" by @ma_tay_ et al. Paper: https://t.co/FqDXZQlkXQ
#NLProc #ReadingGroup
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For this week's @MilaNLProc reading group, @CurriedAmanda presented different papers related to AI regulation, with a focus on the EU AI Act. 1️⃣ https://t.co/RcrDagrmsh 2️⃣ https://t.co/g9w59kI0i6 3️⃣ https://t.co/9TMhyYwsxG
#NLProc #ReadingGroup
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🚨 Friendly Reminder 🚨 ⏰ Time is running out! The deadline for your research visit application at @MilaNLProc is January 31. Don't miss this great opportunity to join us! 📝 Apply here: https://t.co/RhP2uwUxaO
#ResearchOpportunity #NLProc
docs.google.com
Please fill out the form below if you're interested in a research visit with MilaNLP at Bocconi University. We have two main visiting periods: between April and July, and between September and...
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If you’re working on LLM safety, check out https://t.co/Xm9MuK0Ylc!
https://t.co/Xm9MuK0Ylc is a catalogue of open datasets for evaluating and improving LLM safety. I started building this over the holidays, and I know there are still datasets missing, so I need your help 🧵
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🎯 Do speak English and Italian? 🎯 Interested in informing research on inclusive language technologies? 🎯 Do you have 10 minutes? Help us out by taking part in this *survey* on gender-neutral (Machine) translation! Link --> https://t.co/vlprafHzvK
@fbk_mt
docs.google.com
Welcome to our survey on gender-neutral (machine) translation! This survey is intended to inform the design of inclusive machine translation systems, which can offer translations that do not rely on...
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So thrilled to work with this amazing team!
🎉 Excited to welcome @lorelupo to our lab! His expertise in NLP, neural machine translation and reinforcement learning will bring new perspectives to our research. #NLP #MachineTranslation #ML
https://t.co/7voatwhXUi
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