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Belief Coevolution in a Social Network of Generalist and Specialist Large Language Models
Germans Savcisens, Samantha Dies, Courtney Maynard +1
The paper presents CoevolveSim, a simulation framework for studying how beliefs spread and evolve among interacting generalist and specialist large language models in a social netw…
The Trilemma of Truth in Large Language Models
Germans Savcisens, Tina Eliassi-Rad
The public often attributes human-like qualities to large language models (LLMs), assuming that they "know" certain things. In reality, LLMs encode information retained during trai…
Epistemic Familiarity is Associated With Belief Stability in Large Language Models
Samantha Dies, Courtney Maynard, Germans Savcisens +1
Large language models (LLMs) are widely used as information sources, yet small changes in semantic assumptions can destabilize their beliefs. We introduce P-StaT (Perturbation Stab…