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cs.CL2026

Beyond Static and Linear: What Attention Constraints Best Fit Human Reading Times?

Lanni Bu, Xiulin Yang, Christian Clark +2

Transformer-based language models are widely used as models of human language processing, yet their attention mechanisms allow lossless access to the full preceding context, unlike…

cs.CL2026

On the use of foundation models in cognitive science

Raj Sanjay Shah, Alex Warstadt, Michael Frank +1

A host of recent studies have evaluated the cognitive and developmental alignment of Foundation Models (FMs). These investigations include evaluations of their correspondence to ad…

cs.CL2026

Dual Alignment Between Language Model Layers and Human Sentence Processing

Tatsuki Kuribayashi, Alex Warstadt, Yohei Oseki +1

A recent study (Kuribayashi et al., 2025) has shown that human sentence processing behavior, typically measured on syntactically unchallenging constructions, can be effectively mod…

cs.CL2026

BabyLM Turns 4 and Goes Multilingual: Call for Papers for the 2026 BabyLM Workshop

Leshem Choshen, Ryan Cotterell, Mustafa Omer Gul +7

The goal of the BabyLM is to stimulate new research connections between cognitive modeling and language model pretraining. We invite contributions in this vein to the BabyLM Worksh…

cs.CL2025

BabyBabelLM: A Multilingual Benchmark of Developmentally Plausible Training Data

Jaap Jumelet, Abdellah Fourtassi, Akari Haga +23

We present BabyBabelLM, a multilingual collection of datasets modeling the language a person observes from birth until they acquire a native language. We curate developmentally pla…

cs.CL2025

The Harmonic Structure of Information Contours

Eleftheria Tsipidi, Samuel Kiegeland, Franz Nowak +5

The uniform information density (UID) hypothesis proposes that speakers aim to distribute information evenly throughout a text, balancing production effort and listener comprehensi…