4 citations · 13 across the 18 of their papers we have counts for
5 papers · 1 filter
Topic Modeling and Link-Prediction for Material Property Discovery
Ryan C. Barron, Maksim E. Eren, Valentin Stanev +2
Link prediction infers missing or future relations between graph nodes, based on connection patterns. Scientific literature networks and knowledge graphs are typically large, spars…
Grounding Synthetic Data Evaluations of Language Models in Unsupervised Document Corpora
Michael Majurski, Cynthia Matuszek
Language Models (LMs) continue to advance, improving response quality and coherence. Given Internet-scale training datasets, LMs have likely encountered much of what users may ask…
Matrix Factorization for Inferring Associations and Missing Links
Ryan Barron, Maksim E. Eren, Duc P. Truong +4
Missing link prediction is a method for network analysis, with applications in recommender systems, biology, social sciences, cybersecurity, information retrieval, and Artificial I…
On the Promise for Assurance of Differentiable Neurosymbolic Reasoning Paradigms
Luke E. Richards, Jessie Yaros, Jasen Babcock +4
To create usable and deployable Artificial Intelligence (AI) systems, there requires a level of assurance in performance under many different conditions. Many times, deployed machi…
Bridging Legal Knowledge and AI: Retrieval-Augmented Generation with Vector Stores, Knowledge Graphs, and Hierarchical Non-negative Matrix Factorization
Ryan C. Barron, Maksim E. Eren, Olga M. Serafimova +2
Agentic Generative AI, powered by Large Language Models (LLMs) with Retrieval-Augmented Generation (RAG), Knowledge Graphs (KGs), and Vector Stores (VSs), represents a transformati…