✨Excited to announce a special issue (w/ @bastiangb & Steffen Eckhard) on "From Appendix to Spotlight: Validation Standards in TADA Political Science" (PS: Political Science & Politics). We’d love to see many of you submit. 🗓 Deadline: Nov 1, 2026 https://t.co/k5la79wIBX
Are LLMs biased when they write about political issues?
We just released IssueBench – the largest, most realistic benchmark of its kind – to answer this question more robustly than ever before.
Long 🧵with spicy results 👇
📢📢👇New job openings. Topic: social bias detection+analysis with LLMs across time (1950-now) & languages. There are 2 Post-Doc/PhD positions, supervised by @egere14 (@utn_nuremberg)+Simone Ponzetto (@dwsunima). Fully funded, up to 3 yrs.
More infos: https://t.co/4YaV6tKANE
Call for Papers:
The 4th Annual Zurich Workshop in AI+Economics
to be held Dec 5-6, 2025, hosted by ETH Zurich and University of Zurich.
illuminating keynote to be given by @testingham (OpenAI)
organized with @sergallet@YanagizawaD@joachim_voth
Info: https://t.co/u2syuU6Jud
Submit (by Aug 15th): https://t.co/xK53Bf23yl
🚨 @frimelle and I are looking for a junior collaborator to research the Open Model Ecosystem! 🤖
Ideally, someone w/ AI/ML background, who can help w/ annotation pipeline + analysis.
https://t.co/fLc7LN26v8
🚨Just a month until the Computational Linguistics for the Political and Social Sciences (CPSS) workshop deadline (June 13, AoE) #KONVENS2025. Super excited for the upcoming round and can’t wait to see your submissions ✨ https://t.co/q9rY7KbWLF
🕔 We're excited to start in just 30 minutes (5pm Berlin time). Come join us for a fascinating talk by @taniseceron on "Evaluating Political Bias: Insights into Robustness and Multilinguality". We can’t wait to see many of you there ⬇️
🥁 It's the second half of our 🌱 speaker series this term, and we couldn't be more excited! Next week (Wednesday, April 30 at 5pm CET), @taniseceron will share insights on "Facilitating Information Access Through Language Models". More details https://t.co/KFc0hMdGV8⬇️
Fantastic first day at #COMPTEXT2025. Really enjoyed spreading the word about small & efficient LLMs 🌱✨🦙 in our workshop (w/ Julia Romberg) today. Many thanks to everyone who joined us 💚. Excited for more packed conference days ahead 🚀
Afternoon workshops at
#COMPTEXT2025 wrapped up with in-depth sessions on narrative analysis, platform access (DSA), concept measurement, and LLM training.
Thanks to instructors Maria Antoniak, @dscheykopp, @hauke_licht,@chklamm
and all participants for a great end to the day!
If you’re at @iclr_conf this week, come check out our spotlight poster INCLUDE during the Thursday 3:00–5:30pm session!
I will be there to chat about all things multilingual & multicultural evaluation.
Feel free to reach out anytime during the conference. I’d love to connect!
I won’t be at #ICLR2025 unfortunately (no, im not FOMOing with all the twitter posts and friends sharing stories on IG 😅) but if you’re there, check the work on multimodal data provenance and chat with @ShayneRedford!
Happy ICLRing! 🇸🇬
https://t.co/WoibPWPC5k
🥁 It's the second half of our 🌱 speaker series this term, and we couldn't be more excited! Next week (Wednesday, April 30 at 5pm CET), @taniseceron will share insights on "Facilitating Information Access Through Language Models". More details https://t.co/KFc0hMdGV8⬇️
I am hiring a Student Researcher for our Modularity team at the Google DeepMind office in Zurich🇨🇭
Please fill out the interest form if you would like to work with us! The role would start mid/end 2025 and would be in-person in Zurich with 80-100% at GDM
https://t.co/Vfypj91KHy
🚀 Excited to announce that I’ll be teaching a course on "Large Language Models - Tune and Train Your Own Models" @MethodsNET in Vienna from July 14-18 🤖💡 If you’re interested in adjusting LLMs for your tasks, this is for you. Can’t wait for an exciting week.
Our updated Responsible Foundation Model Development Cheatsheet (250+ tools & resources) is now officially accepted to @TmlrOrg 2025!
It covers:
- data sourcing,
- documentation,
- environmental impact,
- risk eval
- model release & licensing
What would it take for AI evaluations to truly support our global experiences? 🌍
Our cross-institutional paper introduces INCLUDE, a multilingual LLM evaluation benchmark of local exams capturing in-language nuances & cultural context for truly localized AI evaluation.