2 papers
cs.CL2026
Simulating Human Memory with Language Models
Qihan Wang, Nicholas Tomlin, Michael Hu +2
Language models are increasingly being deployed as user simulators, but their memory is far more reliable than that of real users. To measure this gap, we run a series of classic m…
cs.CL2026
Why are language models less surprised than humans? Testing the Parse Multiplicity Mismatch Hypothesis
William Timkey, Brian Dillon, Tal Linzen
Surprisal theory posits that the processing difficulty of a word is determined by its predictability in context, offering a potential link between human sentence processing and nex…