mlsanityData to 14 Oct 2026

A Precis of Language Models are not Models of Language

arXiv 2205.07634 ↗First posted 16 May 2022cs.CLcited by 4

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Abstract (arXiv)

Natural Language Processing is one of the leading application areas in the current resurgence of Artificial Intelligence, spearheaded by Artificial Neural Networks. We show that despite their many successes at performing linguistic tasks, Large Neural Language Models are ill-suited as comprehensive models of natural language. The wider implication is that, in spite of the often overbearing optimism about AI, modern neural models do not represent a revolution in our understanding of cognition.

Key facts. Cited by 4 papers in the map (data through 14 Oct 2026). Builds on 4 of its 16 references that are in the map. First posted on arXiv 16 May 2022.

Builds on

4 of 16 references.

References · 4

  1. 2021Evaluating Large Language Models Trained on Codecited by 8,320
  2. 2021Program Synthesis with Large Language Modelscited by 3,637
  3. 2018Neural Network Acceptability Judgmentscited by 958
  4. 2021Learning in High Dimension Always Amounts to Extrapolationcited by 66

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Citing papers per year: 2024: 2; 2025: 2.

4 papers.

  1. 2024Large Language Models and Cognitive Science: A Comprehensive Review of Similarities, Differences, and Challengescited by 49
  2. 2024Large Language Model Benchmarks in Medical Taskscited by 17
  3. 2025Cross-Cultural Fashion Design via Interactive Large Language Models and Diffusion Modelscited by 0
  4. 2025Multi-granular Training Strategies for Robust Multi-hop Reasoning Over Noisy and Heterogeneous Knowledge Sourcescited by 0