finding
active
finding:rudimentary-language-models-are-challenged-by-long-sequences-of-outputs

Rudimentary language models are challenged by long sequences of outputs.

Empirical observation explained by topological constraints: flat autoregressive architectures lack multiscale structure needed for long-range order.

Source paper

extracted_from
Topological constraints on self-organization in locally interacting systems
(2026) · Francesco Sacco · Dalton Sakthivadivel · Michael Levin

Neighborhood — ranked by edge-count

Communities (2)

community

Concepts (1)

concept
  • Ability to maintain organized behavior over extended scales; shown limited in flat autoregressive models, enabled in hierarchical/biological systems.

Frameworks (1)

framework
  • Second model system studied; used to show why flat autoregressive LLMs struggle with long-range coherence.

Related by similarity (8)

cosine ≥ 0.65 · no typed edge

Entities in the same semantic neighborhood but without a typed relation to this one — candidates for new edges or unrecognized duplicates.