The study examines whether Dutch language models exhibit coherence‑illusion effects similar to human readers, using texts that refer back to earlier context with words like ‘again’ and ‘too’. Surprisal at the critical word aligns with human acceptability and eye‑tracking data, showing that models are more surprised by incoherent continuations unless a matching distractor is present. Attention entropy and an energy metric from associative‑memory literature reveal heads that behave differently under coherence versus incoherence, and ablating these heads demonstrates transfer effects across experiments, indicating a shared underlying mechanism.
By Ece Takmaz, Nitin Kumar, Li Kloostra, Jakub Dotlacil
The study evaluates eleven autoregressive transformer models on English agreement attraction scenarios using a surprisal-based approach. Results show that while transformers match human reading times for prepositional phrase configurations, they perform poorly on object‑extracted relative clauses, with predictions diverging across models and failing to capture human interference patterns. The authors argue that current transformers cannot adequately model human morphosyntactic processing and call for more rigorous, comprehensive testing to avoid misleading conclusions from limited syntactic setups.
By Titus von der Malsburg, Sebastian Pad\'o
arXiv:2507.21828v2 Announce Type: replace
Abstract: While the task of assessing the plausibility of events such as "news is relevant" has been addressed by a growing body of work, less attention has...
By Anna Golub, Beate Zywietz, Annerose Eichel
arXiv:2604. 25860v2 Announce Type: replace-cross Abstract: Machine-generated text (MGT) detection requires identifying structurally invariant signals across generation models, rather than relying on model-specific fingerprints.
By Lucio La Cava, Andrea Tagarelli
arXiv:2608.30260v1 Announce Type: cross
Abstract: While it is well-established that prosody carries crucial cues for syntactic structure, the degree and nature of correspondence between these two dom...
By Junghyun Min, Alex Warstadt, Tamar I. Regev, Tiago Pimentel, Ethan Gotlieb Wilcox
arXiv:2606. 18922v1 Announce Type: cross Abstract: Figurative language and negation are two areas that challenge current language models, however, both are widely used throughout written and spoken language.
By Jasmine Owers, Edwin Simpson, Martha Lewis