There Is No Spoon: Existential Presupposition in Large Language Models

Logical Misconceptions, Pragmatic Insufficiencies in LLMs and How to Fix Them

It is shown that logical incoherencies follow from an LLM’s computation of its internal representations, in particular from an LLM’s failure to take account of the different roles that different expressions may play in determining content.

The Imperfective Paradox Is Not Necessarily in Large Language Models: A Benchmark Failure Before a Model Failure

The results show that models often do not affirm culmination but nevertheless accept the corresponding simple-past hypothesis, a pattern the authors characterize as Sufficiency Bias, and show that prompting interventions produce a Decision Shift among labels without reliably improving the underlying semantic understand...

Dynamic Derived Intentionality in Large Language Models: From Implicit Beliefs to Semantic Parasitism

Wh -questions and predication in Mayan

This paper examines the syntax of quantificational expressions in Chuj, a Mayan language spoken primarily in Guatemala and Mexico. Building on Royer, Buenrostro & Jenks (2026), we argue that Chuj quantifiers fall into two distinct syntactic categories. Some quantifiers function exclusively as determiners , while...

Language Models Encode the Contextual Truth of Propositions

This work shows that truth representations of a proposition are significantly swayed by partner assertions about that proposition, even when the LLM has enough evidence to determine its truth, and finds evidence that propositions near the decision boundary are more susceptible to having their truth shifted through part...

Human-Like Anaphor Resolution in Large Language Models

The results show selective cognitive alignment: some LLMs exhibit human-like sensitivity to discourse prominence and distance-based factors in anaphor resolution, while showing weaker or absent sensitivity to semantic interference effects.