New paper w/ UK AISI:
Millions of people now use AI to help them write and communicate. In three experiments (14k participants, 3m+ human ratings) we show that AI writing assistance systematically distorts writer personas – their perceived beliefs, personality, and identity.
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A dream come true. A conference in a train museum. What will the breaks be like?
Choo Choo! 🚂🚂
Would you realize if the book you were reading was AI? What if it was humanized to remove AI-speak?
We find that even without using stylistic cues (e.g., word choice or sentence structure) narrative choices alone give AI fiction away!
Patients ask LLMs medical questions — but how they phrase it matters more than it should.
Our new preprint explores how different phrasings of patient health questions can lead to inconsistent conclusions, even with the same evidence. [1/6]
Full Paper: arxiv.org/abs/2604.05051
📢 The workshop on Insights from negative results will be back at EMNLP'26!
Your most-insightful failures can be submitted in 4 pages by June 25. It's also possible to commit short papers reviewed through ARR.
insights-workshop.github.io/2026/cfp
Yay. Finally a conference next to my house!
Hope to see many of the #NLProc #NLP community there 🤗
Survey-style tests developed for humans may not predict how LLMs actually behave.
Our #EACL2026 paper shows they can even be misleading when measuring racism and sexism!
Check out the paper 👇🏼
Our heartfelt congratulations to Eduardo Calò, who successfully defended his PhD thesis titled "Automatically Expressing the Meaning of Logical Formulae in Natural Language" on 17 June at the Academiegebouw.
The Call for Papers for #INLG2026 is out!
🗓️ Submit by July 15 (AoE)
💍 ARR commit by August 5
🆕 Squibs welcomed (raising an issue without needing to solve it)
🆕 Non-archival track for work in progress
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📍Utrecht, NL — Oct 17–21, 2026, right before EMNLP
2026.inlgmeeting.org/calls.html
🥁🥁🥁 Newly out from us today in Science Advances: “Biased AI Writing Assistants Shift Users’ Attitudes on Societal Issues”.
Large Language Models are providing users with autocomplete writing suggestions on many platforms. Could these suggestions shift users’ own attitudes? (spoiler: YES) (1/7)