Christopher Klamm
@chklamm
👨🔬 CSS & NLP @dwsunima @CompPolCologne 🚀 http://tada.cool co-orga 🎓 MSc CS & MA PolSci @TUDarmstadt 👣 @MZESUniMannheim, @gesis_org, @UKPlab & @COSS_eth
📢📢👇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: nl2g.github.io/positions
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:…
🚨 @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. docs.google.com/forms/d/e/1FAI…
Check it out! The newest version of AdapterHub is on 🔥
🚀Adapters v1.2 is out!🚀 We've made Adapters incredibly flexible: Add adapter support to ANY Transformer architecture with minimal code! We used this to add 8 new models out-of-the-box, incl. ModernBERT, Gemma3 & Qwen3! Explore this +2 new adapter methods in this thread👇(1/5)
🚨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 ✨ cpss-sig.github.io/CPSS-2025/inde…
🕔 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 tada.cool⬇️
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!
✨ Don’t miss the chance to meet @agromanou and learn more about the INCLUDE project 🗺️ and check out our spotlight poster on Thu 3:00-5:30pm ⬇️
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! 🇸🇬 arxiv.org/abs/2412.17847
Thrilled our global data ecosystem audit was accepted to #ICLR2025! Empirically, we find: 1⃣ Soaring synthetic text data: ~10M tokens (pre-2018) to 100B+ (2024). 2⃣ YouTube is now 70%+ of speech/video data but could block third-party collection. 3⃣ <0.2% of data from…
🥁 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 tada.cool⬇️
🕵️♀️ Join us for the first "Validating Social Text-as-Data Method" workshop (June 23, 2025, Copenhagen) at ICWSM sites.google.com/view/valistad2…
Check out our very popular "Tutorial on Causality for LLMs" at #NeurIPS2024: 2-hour detailed intro + a super insightful panel w/ @Yoshua_Bengio @bschoelkopf @Swarooprm7 @giambattista92 @tom4everitt on "The Role of Causality in Future LLMs" 📺youtube.com/watch?v=8j1fS_… with slides
I will be at #NeurIPS2024:1️⃣Dec 10 (Tue) 9:30am-12: Our Tutorial "Causality for LLMs" w/ Sergio Garrido + Panel w/ @Yoshua_Bengio @bschoelkopf @_jasonwei @Swarooprm7 @giambattista92 2️⃣Dec 11 (Wed) 11am-2pm: Our GovSim Poster (Tragedy of Commons for LLM Agents) 3️⃣Dec 13 (Fri)…
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 forms.gle/N94ViTmKHCCAcv…
🚀 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.
Will be a pretty cool workshop! If you have relevant work, consider submitting there
📢📢 Second Call for Papers for the 2nd ClimateNLP Workshop at ACL 2025 📢📢 🗓️ Submission Deadline: March 1st AOE 🚀 We invite short and long papers at the intersection of climate change and NLP 🌍 More info: nlp4climate.github.io
My first ICLR paper 🥳🍻 congrats to the whole crew
🎉 Our paper, “Bridging The Data Provenance Gap Across Text, Speech, and Video”, has been accepted to #ICLR2025 🚀
Today, we are releasing MSTS, a new Multimodal Safety Test Suite for vision-language models! MSTS is exciting because it tests for safety risks *created by multimodality*. Each prompt consists of a text + image that *only in combination* reveal their full unsafe meaning. 🧵