957 citations · 1.4k across the 39 of their papers we have counts for
5 papers · 1 filter
Revisiting Topic-Guided Language Models
Carolina Zheng, Keyon Vafa, David M. Blei
A recent line of work in natural language processing has aimed to combine language models and topic models. These topic-guided language models augment neural language models with t…
A Computational Approach to Style in American Poetry
David M. Kaplan, David M. Blei
We develop a quantitative method to assess the style of American poems and to visualize a collection of poems in relation to one another. Qualitative poetry criticism helped guide…
Evaluating the Moral Beliefs Encoded in LLMs
Nino Scherrer, Claudia Shi, Amir Feder +1
This paper presents a case study on the design, administration, post-processing, and evaluation of surveys on large language models (LLMs). It comprises two components: (1) A stati…
Variational Inference with Gaussian Score Matching
Chirag Modi, Charles Margossian, Yuling Yao +3
Variational inference (VI) is a method to approximate the computationally intractable posterior distributions that arise in Bayesian statistics. Typically, VI fits a simple paramet…
Amortized Variational Inference: When and Why?
Charles C. Margossian, David M. Blei
In a probabilistic latent variable model, factorized (or mean-field) variational inference (F-VI) fits a separate parametric distribution for each latent variable. Amortized variat…