What do we want from machine intelligence? We envision machines that are not just tools
for thought but partners in thought: reasonable, insightful, knowledgeable, reliable and …

This paper investigates the voting behaviors of Large Language Models (LLMs), specifically
GPT-4 and LLaMA-2, their biases, and how they align with human voting patterns. Our …

Game theory is the study of mathematical models of strategic interactions among rational
agents. Language is a key medium of interaction for humans, though it has historically …

The dominant practice of AI alignment assumes (1) that preferences are an adequate
representation of human values,(2) that human rationality can be understood in terms of …

Training of modern large neural networks (NN) requires a combination of parallelization
strategies encompassing data, model, or optimizer sharding. When strategies increase in …

Traditional sociological research often relies on human participation, which, though
effective, is expensive, challenging to scale, and with ethical concerns. Recent …

Modern large language models (LLMs) have exhibited cooperative synergy on complex task-
solving, and collective decision-making (CDM) is a pivotal component in LLM-based multi …

LLMs are among the most advanced tools ever devised for analysing and generating
linguistic content. Democratic deliberation and decision-making involve, at several distinct …

X's Community Notes, a crowd-sourced fact-checking system, allows users to annotate
potentially misleading posts. Notes rated as helpful by a diverse set of users are prominently …