Marconato et al. (2024) established an 'all-or-none' identifiability theorem, which proves that linear properties in Large Language Models either hold in all or in none of the distributionally equivalent models under specific conditions.

Authors

• Person: Not available Organization: arXiv
  A Survey on the Theory and Mechanism of Large Language Models

Sources

• A Survey on the Theory and Mechanism of Large Language Models arxiv.org arXiv via serper

Referenced by nodes (1)

• Large Language Models concept