Which, whose, and how much knowledge do LLMs represent?

I'm excited to share our preprint answering these questions:

"Epistemic Diversity and Knowledge Collapse in Large Language Models"

📄Paper: arxiv.org/pdf/2510.04226
💻Code: github.com/dwright37/ll...

1/10

Crowdsourcing datasets is very common, but how much of those results come from LLMs these days? How can we prevent it? Much of it is unclear. This is why we’re conducing a survey (~10 min) to gather community experiences, challenges, and solutions.
Share your thoughts 👉https://tinyurl.com/39ab55wf

If you are attending #ACL2025, come and check out our cool poster on Wednesday at 11 am!

(Oh yeah, I forgot to announce that the paper got accepted to the main proceedings of #ACL2025, oops)

I am happy to share that the paper got accepted to the main proceedings of ACL 2025 in Vienna! See you there!

arxiv.org/abs/2502.14132

Massive congrats to @nadavb.bsky.social for passing his PhD defence yesterday! 👏👏👏
Thanks to Anders Søgaard, @radamihalcea.bsky.social @ricosennrich.bsky.social for serving as examiners.
You can find his thesis here, which the committee characterised as "a joy to read": arxiv.org/abs/2503.07395

🚨 Preprint alert 🚨

𝐂𝐚𝐧 𝐂𝐨𝐦𝐦𝐮𝐧𝐢𝐭𝐲 𝐍𝐨𝐭𝐞𝐬 𝐑𝐞𝐩𝐥𝐚𝐜𝐞 𝐏𝐫𝐨𝐟𝐞𝐬𝐬𝐢𝐨𝐧𝐚𝐥 𝐅𝐚𝐜𝐭-𝐂𝐡𝐞𝐜𝐤𝐞𝐫𝐬?

(arxiv.org/abs/2502.14132)

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Hello, world! We're a Natural Language Understanding group at the University of Copenhagen (faculty: @iaugenstein.bsky.social, @apepa.bsky.social). Follow us for updates about our research, open positions, and more!
More about us: www.copenlu.com
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