mlsanityData to 7 Oct 2026

Do Zombies Understand? A Choose-Your-Own-Adventure Exploration of Machine Cognition

arXiv 2403.00499 ↗First posted 1 Mar 2024cs.CLcited by 2

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Abstract (arXiv)

Recent advances in LLMs have sparked a debate on whether they understand text. In this position paper, we argue that opponents in this debate hold different definitions for understanding, and particularly differ in their view on the role of consciousness. To substantiate this claim, we propose a thought experiment involving an open-source chatbot Z which excels on every possible benchmark, seemingly without subjective experience. We ask whether Z is capable of understanding, and show that different schools of thought within seminal AI research seem to answer this question differently, uncovering their terminological disagreement. Moving forward, we propose two distinct working definitions for understanding which explicitly acknowledge the question of consciousness, and draw connections with a rich literature in philosophy, psychology and neuroscience.

Key facts. Cited by 2 papers in the map (data through 7 Oct 2026). Builds on 12 of its 48 references that are in the map. First posted on arXiv 1 Mar 2024.

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12 of 48 references.

References · 12

  1. 2020Language Models are Few-Shot Learnerscited by 32,199
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  5. 2023Sparks of Artificial General Intelligence: Early experiments with GPT-4cited by 2,579
  6. 2015A large annotated corpus for learning natural language inferencecited by 1,837
  7. 2023FActScore: Fine-grained Atomic Evaluation of Factual Precision in Long Form Text Generationcited by 1,259
  8. 2017Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithmcited by 723
  9. 2021SummaC: Re-Visiting NLI-based Models for Inconsistency Detection in Summarizationcited by 402
  10. 2022The Debate Over Understanding in AI's Large Language Modelscited by 142
  11. 2021Q2: Evaluating Factual Consistency in Knowledge-Grounded Dialogues via Question Generation and Question Answeringcited by 131
  12. 2022mFACE: Multilingual Summarization with Factual Consistency Evaluationcited by 42

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Citing papers per year: 2026: 2.

2 papers.