Information Design with Large Language Models: An Annotated Reading List

This annotated reading list surveys emerging works at the intersection of information design and large language models (LLMs). While classical information design theory studies signaling in abstract mathematical models, real-world communication often occurs in natural language. We highlight papers that use LLMs to elicit and communicate information through natural-language messages, cover techniques used in "information design + LLM" research such as language-space optimization and LLM proxies, and discuss papers on LLM persuasion. We aim to illustrate the potential of LLMs to bridge the gap between the theory and practice of information design.