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Later layers of LLMs capture cognitive effort in syntactically challenging sentences better than earlier layers, but still miss the mark compared to human processing.
BabyLM 2026 seeks to push the boundaries of data-efficient and cognitively plausible language models, now with a multilingual twist.
