mlsanityData to 7 Oct 2026

Memory, Consciousness and Large Language Model

arXiv 2401.02509 ↗First posted 4 Jan 2024q-bio.NC cs.AI cs.CLcited by 9

Not on the map. Why?

Abstract (arXiv)

With the development in cognitive science and Large Language Models (LLMs), increasing connections have come to light between these two distinct fields. Building upon these connections, we propose a conjecture suggesting the existence of a duality between LLMs and Tulving's theory of memory. We identify a potential correspondence between Tulving's synergistic ecphory model (SEM) of retrieval and the emergent abilities observed in LLMs, serving as supporting evidence for our conjecture. Furthermore, we speculate that consciousness may be considered a form of emergent ability based on this duality. We also discuss how other theories of consciousness intersect with our research.

Key facts. Cited by 9 papers in the map (data through 7 Oct 2026). Builds on 7 of its 29 references that are in the map. First posted on arXiv 4 Jan 2024.

Builds on

7 of 29 references.

References · 7

  1. 2020Language Models are Few-Shot Learnerscited by 32,199
  2. 2023Mamba: Linear-Time Sequence Modeling with Selective State Spacescited by 4,616
  3. 2022Emergent Abilities of Large Language Modelscited by 2,483
  4. 2023Are Emergent Abilities of Large Language Models a Mirage?cited by 515
  5. 2022Data Distributional Properties Drive Emergent In-Context Learning in Transformerscited by 303
  6. 2023Label Words are Anchors: An Information Flow Perspective for Understanding In-Context Learningcited by 235
  7. 2023Are Emergent Abilities in Large Language Models just In-Context Learning?cited by 109

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2024: 4; 2025: 3; 2026: 2.

9 papers.