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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
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…