5 citations · 6 across the 6 of their papers we have counts for
8 papers
FlexiFlow: Bandit-based Model Switching in ML Workflows
Abhilash Jindal, Todd Nief, Bhanu Prakash Vangala +6
Model optimizations help improve inference performance and accuracy of ML workflows. However, relying on a single model to perform inference across all data batches often fails to…
Near-Universal Multiplicative Updates for Nonnegative Einsum Factorization
John Hood, Aaron Schein
Despite the ubiquity of multiway data across scientific domains, there are few performant and user-friendly methods that fit non-standard nonnegative tensor factorization models ta…
Modeling Latent Underdispersion with Discrete Order Statistics
Jimmy Lederman, Aaron Schein
The Poisson distribution is the default choice of likelihood for probabilistic models of count data. However, due to the equidispersion contraint of the Poisson, such models may ha…
Broad Spectrum Structure Discovery in Large-Scale Higher-Order Networks
John Hood, Caterina De Bacco, Aaron Schein
Complex systems are often driven by higher-order interactions among multiple units, naturally represented as hypergraphs. Understanding dependency structures within these hypergrap…
Linear Representations of Political Perspective Emerge in Large Language Models
Junsol Kim, James Evans, Aaron Schein
Large language models (LLMs) have demonstrated the ability to generate text that realistically reflects a range of different subjective human perspectives. This paper studies how L…
Layers at Similar Depths Generate Similar Activations Across LLM Architectures
Christopher Wolfram, Aaron Schein
How do the latent spaces used by independently-trained LLMs relate to one another? We study the nearest neighbor relationships induced by activations at different layers of 24 open…
The ALCORE Tensor Decomposition for Sparse Count Data
John Hood, Aaron Schein
This paper introduces ALCORE, a new form of probabilistic non-negative tensor decomposition. ALCORE is a Tucker decomposition where the number of non-zero elements…
Measurement in the Age of LLMs: An Application to Ideological Scaling
Sean O'Hagan, Aaron Schein
Much of social science is centered around terms like ``ideology'' or ``power'', which generally elude precise definition, and whose contextual meanings are trapped in surrounding l…