mlsanityData to 14 Oct 2026

What does it mean to understand language?

arXiv 2511.19757 ↗First posted 24 Nov 2025cs.CLcited by 0

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Abstract (arXiv)

Language understanding entails not just extracting the surface-level meaning of the linguistic input, but constructing rich mental models of the situation it describes. Here we propose that because processing within the brain's core language system is fundamentally limited, deeply understanding language requires exporting information from the language system to other brain regions that compute perceptual and motor representations, construct mental models, and store our world knowledge and autobiographical memories. We review the existing evidence for this hypothesis, and argue that recent progress in cognitive neuroscience provides both the conceptual foundation and the methods to directly test it, thus opening up a new strategy to reveal what it means, cognitively and neurally, to understand language.

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References · 16

  1. 2020Language Models are Few-Shot Learnerscited by 32,419
  2. 2023Sparks of Artificial General Intelligence: Early experiments with GPT-4cited by 2,592
  3. 2024The Platonic Representation Hypothesiscited by 382
  4. 2023LINC: A Neurosymbolic Approach for Logical Reasoning by Combining Language Models with First-Order Logic Proverscited by 168
  5. 2023From Word Models to World Models: Translating from Natural Language to the Probabilistic Language of Thoughtcited by 119
  6. 2022Meaning without reference in large language modelscited by 76
  7. 2023Scaling laws for language encoding models in fMRIcited by 68
  8. 2024The LLM Language Network: A Neuroscientific Approach for Identifying Causally Task-Relevant Unitscited by 34
  9. 2025From Language to Cognition: How LLMs Outgrow the Human Language Networkcited by 30
  10. 2025Are formal and functional linguistic mechanisms dissociated in language models?cited by 11
  11. 2025Mixture of Cognitive Reasoners: Modular Reasoning with Brain-Like Specializationcited by 9
  12. 2024Generative causal testing to bridge data-driven models and scientific theories in language neurosciencecited by 5
4 more
  1. 2025LITcoder: A General-Purpose Library for Building and Comparing Encoding Modelscited by 3
  2. 2025Modeling the language cortex with form-independent and enriched representations of sentence meaning reveals remarkable semantic abstractnesscited by 2
  3. 2025Evaluating Contrast Localizer for Identifying Causal Units in Social & Mathematical Tasks in Language Modelscited by 1
  4. 2025Neural Hardware for the Language of Thought: New Rules for an Old Gamecited by 1

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