Truthfulness isn’t always binary. Sometimes it’s… neither 🤔 Our Trilemma of Truth paper is headed to the @neuripsconf.bsky.social Mechanistic Interpretability workshop 🚀 Let’s connect in San Diego! 🌴 Preprint: arxiv.org/abs/2506.23921 Code and data: github.com/carlomarxdk/...

Had the pleasure of presenting our work on Three-valued veracity probes for LLMs at #NEMI Workshop! Mechanistic Interpretability has such a great and welcoming community. If we crossed paths - let’s connect! 🚀 Poster: zenodo.org/records/1690... Preprint: arxiv.org/abs/2506.23921

@nunetsi.bsky.social had a great week at @ic2s2.bsky.social! Looking forward to the next #IC2S2 in Vermont 🔬⛰️

🎥 All keynote talks from IC²S² ‘25 are now available on our YouTube channel! #ic2s2 #css

Colleagues are making sure that I stay focused at #IC2S2 🤓

Presented our work on veracity-tracking in LLMs at #IC2S2 today! Now looking forward to the next few days of great talks and conversations ✨️🎓

Little wins: our "Trilemma of Truth" dataset just hit 150 downloads. It contains true, false, and neither-valued statements (inspired by the three-valued logic) used to stress-test LLMs for fact-checking, veracity tracking, and uncertainty handling. Dataset📚: huggingface.co/datasets/car...

Perfect weather, charming streets, and a poster so big it almost needed its own boarding pass 🧳✨ Excited to attend #IC2S2 in Norrköping 🇸🇪 Find me at the Poster Session on Tuesday: "Improving Probes that Track Veracity in Large Language Models" (Poster ID: 39) 🧪

I’m presenting a poster on my latest project: “The Trilemma of Truth.” Drop by to see how LLMs leverage three‑valued logic to model truth 🔢🤖 And hey, if you fancy grabbing a coffee ☕, DM me! 📄 Poster: zenodo.org/records/1605... 📖 Preprint: arxiv.org/abs/2506.23921

Germans Savcisens, Tina Eliassi-Rad: The Trilemma of Truth in Large Language Models https://arxiv.org/abs/2506.23921 https://arxiv.org/pdf/2506.23921 https://arxiv.org/html/2506.23921

🚨 New preprint! Do LLMs really know what’s true? In our paper, @eliassi.bsky.social and I introduce sAwMIL: a probing method that distinguishes between true, false, and neither—capturing what LLMs actually “retain.” We evaluated 16 open models across 3 new datasets. 📄 arxiv.org/abs/2506.23921

That happens way too often to me 🥲

What's the coolest guide/source on "Complex Data Visualization"? I am looking for some inspiration to visualize graphs and high dimensional data.

Great read from 2019 about abandoning the use of p-values in a dichotomous way and what we can do instead. More thinking, and less relying on significance tests to decide things for us! www.nature.com/articles/d41...

Sometimes we need a reality check 😉 @serge.belongie.com

Amazing time with the folks from @tint-philosophy.bsky.social at the retreat on Predictability of Human Lives. Great people & discussions, and so much to reflect on—especially around integrative modeling and how neural networks can help us get there. Plus, a relaxing sauna to top it off!

Visiting @mpidr.bsky.social this week—super excited to see what’s happening in Demographic Studies (don’t miss my talk!). Also, I’ll be in Berlin on Feb 2, Helsinki from Feb 3-6, and Copenhagen from Feb 10-12. Let me know if you’re around and up for a coffee 🧪🔬☕️

For those interdisciplinary students/scholars who are having identity crisis, this is for you (from 2018): "How to survive as an interdisciplinary being" www.slideshare.net/slideshow/ho... #NetSciX2025

New tool to estimate the level of participation in collective action expressed in natural language. Applied to social media, it can produce large-scale and granular estimates of behavior change wrt collective action. github.com/ariannap13/e... @nerdsitu.bsky.social @itu.dk @carlsbergfondet.dk

I once asked ChatGPT how it thinks my life would look like in 20 years. And "Visionary Multidimensional Social Scientist" sounds like a great job title 😅 I guess it captured my love for the "His Dark Materials" trilogy.

📢 @savcisens.com discusses a recent study that shows that LLMs exhibit social identity biases similar to humans. www.nature.com/articles/s43... 🔓https://rdcu.be/d5owe

Happy to write this News & Views piece on the recent audit showing LLMs picking up "us versus them" biases: www.nature.com/articles/s43... (Read-only version: rdcu.be/d5ovo) Check out the amazing (original) paper here: www.nature.com/articles/s43...

I don't like the way many CS papers are written, even the supposedly good ones, but these tips are very generically applicable and useful. Just ignore the bit about the acronyms...

If you want to follow what happens with #ML, #AI, #LLM research in Denmark - here is a great Starter Pack 😋 #researchers

#YouTube has so far come up with the best application of GenAI (in recent months): summarization of videos and the ability to chat with them -- a great way to check the contents of 60+ min talks.

Had the pleasure of presenting how transformers can help us decode/explore complex life patterns in labour and health trajectories. If you're curious about the intersection of machine learning, social science, and health, check it out here: youtu.be/szSY7MSkLtk?...

Network Science Institute starter pack in BlueSky! A list of members and alumni (to be updated) go.bsky.app/N3PQTdw

We're hiring a postdoc in the &-Lab at Northeastern's Network Science Institute! Looking for a curious, collaborative scholar to work on computational social science questions, at the intersection of data justice + network science. northeastern.wd1.myworkdayjobs.com/careers/job/...

Join the talk to hear more about transformers for social science: www.soc.cuhk.edu.hk/event/nov-14...

A simple implementation of the #life2vec model is now available at github.com/carlomarxdk/.... You can try out the workflow with dummy data, + we are planning to add more examples (including finetuning) in the near future.

A study in Nature Computational Science presents a machine learning approach that may accurately predict different aspects of human lives, including the likelihood of early mortality and personality nuances. go.nature.com/3txgJCx 🧪