What's the relationship between memory constraints and the content/format of encoded information in sentence processing? Our recent work (w/ @rljfutrell and Brian Dillon) targeting this question has won the best paper award at #ACL2026
To check our paper: https://t.co/DFczrRjIED
I see more and more papers exploring similar concepts that were already explored in the BERT and other previous eras. This is cool, but then it's kind of disappointing if the related work just dates max 2-3 years back and basically ignores all this.
New preprint led by @pia_schoknecht
Local coherence effects are task sensitive: Evidence from event-related potentials in German:
https://t.co/qaT0nnmtjT
So happy to have presented our project on **Individual signatures of spillover** at CPL2025 Utrecht. Grateful to my supervisor Lena Jaeger, for her great ideas and kind support! Thanks to my coauthors and the audience at CPL2025. The award was a democratic vote by the audience!
Cognitive Modeling and Computational Linguistics (CMCL) workshop will be co-located with LREC 2026 in Palma, Mallorca!🌴Stay tuned for more details!✨ @byungdoh@ttk_kuribayashi@g_rambelli Philipp Wicke, Jixing Li, @yoshiryo0617
The first day of the Computational Psycholinguistics Meeting in Utrecht is over, looking forward to tomorrow! ✨ For more info, see https://t.co/RUNJwa7ifj
The first workshop on Computational Developmental Linguistics, collocated with ACL 2026, is welcoming submissions! Topics of interest include but are not limited to computational methods for developmental linguistics and language model learning dynamics.
Program details below:
Didn't expect my late-night post accidentally got popular. While I can't share the detailed content, the quick takeaways are:
- First, esp. if you are a technical person, think about important and impactful problems at a high level. Don't be trapped in technical details.
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👀Ever wondered how visual information quality affects reading and language processing?
Our new #EMNLP2025 paper, “Modeling Bottom-up Information Quality during Language Processing”, bridges psycholinguistics and multimodal LLMs.
🧠💡👇
https://t.co/9z7nbo8UWZ
Take-home Message
🔹 We formalize input quality in reading as mutual information.
🔹 We link it to measurable human behavior.
🔹 We show multimodal LLMs can model this effect quantitatively.
Bottom-up information matters — and now we can measure how much it matters.
New preprint investigating whether lossy-context surprisal can account for the locality and expectation effects found in Russian, Hindi, and Persian reading data: https://t.co/Pjcb2BOcsj
We are done with the ninth Statistical Methods for Linguistics and Psychology (SMLP) summer school, Potsdam, Germany. The tenth edition is planned for 24-28 August 2026.