Interacting Gaussian mixture models with RAG-style updates are shown to mimic aspects of interacting LLMs and are used to prove lower bounds on polarization probability in the resulting Markov chain.
Investigating social alignment via mirroring in a system of interact- ing language models
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CL 1years
2025 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Gaussian mixture models as a proxy for interacting language models
Interacting Gaussian mixture models with RAG-style updates are shown to mimic aspects of interacting LLMs and are used to prove lower bounds on polarization probability in the resulting Markov chain.