mlsanityData to 14 Oct 2026

Non-native speakers of English or ChatGPT: Who thinks better?

arXiv 2412.00457 ↗First posted 30 Nov 2024cs.CLcited by 1

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Abstract (arXiv)

This study sets out to answer one major question: Who thinks better, non-native speakers of English or ChatGPT?, providing evidence from processing and interpreting center-embedding English constructions that human brain surpasses ChatGPT, and that ChatGPT cannot be regarded as a theory of language. Fifteen non-native speakers of English were recruited as participants of the study. A center-embedding English sentence was presented to both the study participants and ChatGPT. The study findings unveil that human brain is still far ahead of Large Language Models, specifically ChatGPT, even in the case of non-native speakers of an L2, here English. The study concludes that human brain's ability to process and interpret natural language data is unique and that ChatGPT still lags behind this human unique ability.

Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Builds on 7 of its 55 references that are in the map. First posted on arXiv 30 Nov 2024.

Builds on

7 of 55 references.

References · 7

  1. 2019What BERT is not: Lessons from a new suite of psycholinguistic diagnostics for language modelscited by 320
  2. 2023Can ChatGPT Understand Too? A Comparative Study on ChatGPT and Fine-tuned BERTcited by 155
  3. 2023Scaling Sentence Embeddings with Large Language Modelscited by 85
  4. 2023Testing AI on language comprehension tasks reveals insensitivity to underlying meaningcited by 45
  5. 2023Why Linguistics Will Thrive in the 21st Century: A Reply to Piantadosi (2023)cited by 9
  6. 2024Generative linguistics contribution to artificial intelligence: Where this contribution lies?cited by 8
  7. 2024Enhancing Embedding Performance through Large Language Model-based Text Enrichment and Rewritingcited by 6

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2026: 1.

1 paper.

Similar, not cited

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  1. 2023Complementary Advantages of ChatGPTs and Human Readers in Reasoning: Evidence from English Text Reading Comprehension
  2. 2023GPTEval: A Survey on Assessments of ChatGPT and GPT-4
  3. 2023Summary of ChatGPT-Related Research and Perspective Towards the Future of Large Language Models
  4. 2023Divergences between Language Models and Human Brains
  5. 2023Is ChatGPT a General-Purpose Natural Language Processing Task Solver?
  6. 2023The Cultural Psychology of Large Language Models: Is ChatGPT a Holistic or Analytic Thinker?
  7. 2024Cross-Language Assessment of Mathematical Capability of ChatGPT
  8. 2025The Emergence of Abstract Thought in Large Language Models Beyond Any Language