4 papers
Information Loss and Disparate Effects in Network Embeddings
Gabriel Chuang, Augustin Chaintreau
An extensive line of work studies fairness interventions for network embeddings, but less is known about their baseline behavior. In this work, we ask: how do baseline embeddings (…
Judging It, Washing It: Scoring and Greenwashing Corporate Climate Disclosures using Large Language Models
Marianne Chuang, Gabriel Chuang, Cheryl Chuang +1
We study the use of large language models (LLMs) to both evaluate and greenwash corporate climate disclosures. First, we investigate the use of the LLM-as-a-Judge (LLMJ) methodolog…
Drawing Competitive Districts in Redistricting
Gabriel Chuang, Oussama Hanguir, Clifford Stein
In the process of redistricting, one important metric is the number of competitive districts, that is, districts where both parties have a reasonable chance of winning a majority o…
Multiscale Parallel Tempering for Fast Sampling on Redistricting Plans
Gabriel Chuang, Gregory Herschlag, Jonathan C. Mattingly
When auditing a redistricting plan, a persuasive method is to compare the plan with an ensemble of neutrally drawn redistricting plans. Ensembles are generated via algorithms that…