Pith. sign in

REVIEW 1 cited by

Memory, Consciousness and Large Language Model

Not yet reviewed by Pith; the record is open.

This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.

SPECIMEN: schema-true, not a live event

T0 review · schema-true

One-sentence machine reading of the paper's core claim.

pith:XXXXXXXX · record.json · timestamp

arxiv 2401.02509 v2 pith:4WIW3E7B submitted 2024-01-04 q-bio.NC cs.AIcs.CL

classification q-bio.NCcs.AIcs.CL
keywords consciousnessllmsconjectureconnectionsdualityemergentlanguagelarge
verification ladder T0 review T1 audit T2 compute T3 formal

Signed reviews

No signed human review yet.

0 comments
read the original abstract

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.

Discussion (0). Continue with ORCID to comment.

Forward citations

Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Activating Distributed Visual Region within LLMs for Efficient and Effective Vision-Language Training and Inference

    cs.CV 2024-12 conditional novelty 5.0 of 10

    Selecting a sparse uniform set of 25% of LLM layers for LoRA tuning preserves about 99% of visual task performance across four LVLMs and speeds up training by 12 to 23%.

Pith tools