The heterogeneity of training data enables Large Language Models to operate at the peripheries of multiple discourse systems, allowing them to recombine and translate across genres, registers, and ideological formations.

Authors

• Person: Not available Organization: arXiv
  Not Minds, but Signs: Reframing LLMs through Semiotics - arXiv

Sources

• Not Minds, but Signs: Reframing LLMs through Semiotics - arXiv arxiv.org arXiv via serper

Referenced by nodes (1)

• Large Language Models concept