12 citations · 17 across the 5 of their papers we have counts for
5 papers
Heads or Tails: A Simple Example of Causal Abstractive Simulation
Gabriel Simmons
This note illustrates how a variety of causal abstraction arXiv:1707.00819 arXiv:1812.03789, defined here as causal abstractive simulation, can be used to formalize a simple exampl…
Comment on Is Complexity an Illusion?
Gabriel Simmons
The paper "Is Complexity an Illusion?" (Bennett, 2024) provides a formalism for complexity, learning, inference, and generalization, and introduces a formal definition for a "polic…
Assessing Generalization for Subpopulation Representative Modeling via In-Context Learning
Gabriel Simmons, Vladislav Savinov
This study evaluates the ability of Large Language Model (LLM)-based Subpopulation Representative Models (SRMs) to generalize from empirical data, utilizing in-context learning wit…
Large Language Models as Subpopulation Representative Models: A Review
Gabriel Simmons, Christopher Hare
Of the many commercial and scientific opportunities provided by large language models (LLMs; including Open AI's ChatGPT, Meta's LLaMA, and Anthropic's Claude), one of the more int…
Moral Mimicry: Large Language Models Produce Moral Rationalizations Tailored to Political Identity
Gabriel Simmons
Large Language Models (LLMs) have demonstrated impressive capabilities in generating fluent text, as well as tendencies to reproduce undesirable social biases. This study investiga…