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cs.CL2026
Language Acquisition Device in Large Language Models
Masato Mita, Taiga Someya, Ryo Yoshida +1
Large Language Models (LLMs) remain substantially less data-efficient than humans. Pre-pretraining (PPT) on synthetic languages has been proposed to close this gap, with prior work…
cs.CL2026
An Existence Proof for Neural Language Models That Can Explain Garden-Path Effects via Surprisal
Ryo Yoshida, Shinnosuke Isono, Taiga Someya +2
Surprisal theory hypothesizes that the difficulty of human sentence processing increases linearly with surprisal, the negative log-probability of a word given its context. Computat…