It’s that time of the year, catch me at @ic2s2.bsky.social @uvmvermont.bsky.social. I am not presenting any works, but would love to catch up over a cup of coffee 😋☕️ #ic2s2
Germans Savcisens (Savčišens)
@savcisens.com
Postdoc @nunetsi.bsky.social (Northeastern Uni) 🎓 Computational Social Science 👾 ✨ work on stability of belief in LLMs & Human-AI Collaboration 🌿 he/him 🇱🇻 🇺🇦 | www.savcisens.com
A feature in Nature reports how research shows that ‘exercise snacks’ and other forms of everyday movement can greatly reduce the risk of heart disease and death. #medsky 🧪
The surprisingly big health benefits of just a little exercise
‘Exercise snacks’ and other forms of everyday movement can greatly reduce the risk of heart disease and death.
go.nature.com
It’s been two years since we published the #life2vec paper, and it’s still circulating widely. People keep discovering it but much of what circulates online is misleading. Agter a long time, I finally wrote a short explainer to clear up a few things: converges.medium.com/is-life2vec-...
Is life2vec a mess? What the internet got wrong.
Over the past two years, online death calculators have flooded the internet. I think the craze really took off after the introduction of…
converges.medium.com
Attending @neuripsconf.bsky.social this week! If you want to chat about LLMs for behaviour / health / labour modeling... or about beliefs and opinions of LLMs, hit me up. I’ll also be presenting a poster on truth tracking at the Mechanistic Interpretability workshop later. Come say hi!
My 2 cents: If you exploited the #openreview bug or are actively searching for the leaked data, you should seriously reconsider your place in research. If you cannot uphold the basic principle of double-blind review, how can we trust anything you publish?
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 🔬⛰️
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 ✨️🎓
Germans Savcisens (Savčišens)@savcisens.com · last yr.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) 🧪
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...
carlomarxx/trilemma-of-truth · Datasets at Hugging Face
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
huggingface.co
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
International Conference on Computational Social Science@ic2s2.bsky.social · last yr.#IC2S2 2025 is just around the corner! July 21–24 in Norrköping, Sweden. Bookmark tutorials, keynotes, and must-see sessions and connect with fellow attendees using #IC2S2. Full program here: www.ic2s2-2025.org/program/ See you in Norrköping! 🇸🇪
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
The Trilemma of Truth in Large Language Models
We often attribute human characteristics to large language models (LLMs) and claim that they "know" certain things. LLMs have an internal probabilistic knowledge that represents information retained d...
arxiv.org
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...
Scientists rise up against statistical significance
Valentin Amrhein, Sander Greenland, Blake McShane and more than 800 signatories call for an end to hyped claims and the dismissal of possibly crucial effects.
nature.com
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
How to survive as an interdisciplinary being
How to survive as an interdisciplinary being - Download as a PDF or view online for free
slideshare.net
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
Arianna Pera@ariannapera.bsky.social · 2y agoExcited to share the tool @lajello.bsky.social & I built to predict social media participation in collective action! It moves beyond keywords, tracking activism stages across topics. See it in action with climate activism on Reddit 🌱 Check it out: arxiv.org/abs/2501.07368 @nerdsitu.bsky.social
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
Large language models act as if they are part of a group - Nature Computational Science
An extensive audit of large language models reveals that numerous models mirror the ‘us versus them’ thinking seen in human behavior. These social prejudices are likely captured from the biased conten...
nature.com
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...
Large language models act as if they are part of a group - Nature Computational Science
An extensive audit of large language models reveals that numerous models mirror the ‘us versus them’ thinking seen in human behavior. These social prejudices are likely captured from the biased conten...
nature.com
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...
Michael J. Black@michael-j-black.bsky.social · 2y agoFor those who missed this post on the-network-that-is-not-to-be-named, I made public my "secrets" for writing a good CVPR paper (or any scientific paper). I've compiled these tips of many years. It's long but hopefully it helps people write better papers. perceiving-systems.blog/en/post/writ...
If you want to follow what happens with #ML, #AI, #LLM research in Denmark - here is a great Starter Pack 😋 #researchers
Simon Eiriksson@simoneiriksson.bsky.social · 2y agoYay! I have created a Danish Machine Learning peoples starter pack! Feel free to comment below if you want to add yourself or others ☺️. I aim to include people working in ML in Denmark.
#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.