2 citations · 2 across the 4 of their papers we have counts for
4 papers
Gini Coefficient as a Unified Metric for Evaluating Many-versus-Many Similarity in Vector Spaces
Ben Fauber
We demonstrate that Gini coefficients can be used as unified metrics to evaluate many-versus-many (all-to-all) similarity in vector spaces. Our analysis of various image datasets s…
Learning the Latent Rules of a Game from Data: A Chess Story
Ben Fauber
We demonstrate that small pretrained foundational generative language models with millions of parameters can learn the latent rules of a process from data associated with the proce…
Accurate Prediction of Ligand-Protein Interaction Affinities with Fine-Tuned Small Language Models
Ben Fauber
We describe the accurate prediction of ligand-protein interaction (LPI) affinities, also known as drug-target interactions (DTI), with instruction fine-tuned pretrained generative…
Pretrained Generative Language Models as General Learning Frameworks for Sequence-Based Tasks
Ben Fauber
We propose that small pretrained foundational generative language models with millions of parameters can be utilized as a general learning framework for sequence-based tasks. Our p…