Presented our new **reading time benchmark for Human Sentence Processing modeling** at the Computational Psycholinguistics Meeting in Utrecht 🧠 Expected to be released in open-source in the upcoming months. Keep an eye out! 👀
Nina Nusbaumer
@nina-nusbaumer.bsky.social
Computational sentence processing modeling | Computational psycholinguistics | PhD student at LLF, CNRS, Université Paris Cité | Currently visiting COLT, Universitat Pompeu Fabra, Barcelona, Spain https://ninanusb.github.io/
Another banger from @tallinzen.bsky.social . Also fits with some of the criticisms of Centaur and my faculty-based approach generally; if you want LLMs to model human cognition, give them more architecture akin to human faculty psychology like long and short-term memory. arxiv.org/abs/2510.05141
To model human linguistic prediction, make LLMs less superhuman
When people listen to or read a sentence, they actively make predictions about upcoming words: words that are less predictable are generally read more slowly than predictable ones. The success of larg...
arxiv.org
First paper is out! Had so much fun presenting it in Marseille last July 🇨🇵 We explore how transformers handle compositionality by exploring the representations of the idiomatic and literal meaning of the same noun phrase (e.g. "silver spoon"). aclanthology.org/2025.jeptaln...
