Conference

Bridging Legal Knowledge and AI: Retrieval-Augmented Generation with Vector Stores, Knowledge Graphs, and Hierarchical Non-negative Matrix Factorization

Agentic Generative AI, powered by Large Language Models (LLMs) and enhanced with Retrieval-Augmented Generation (RAG), Knowledge Graphs …

Ryan Calvin Barron, Maksim Eren, Olga Serafimova, Cynthia Matuszek, Boian Alexandrov

HEAL: Hierarchical Embedding Alignment Loss for Improved Retrieval and Representation Learning

Retrieval-Augmented Generation (RAG) enhances Large Language Models (LLMs) by integrating external document retrieval to provide …

Manish Bhattarai, Ryan Barron, Maksim Eren, Minh Vu, Vesselin Grantcharov, Ismael Boureima, Valentin Stanev, Cynthia Matuszek, Vladimir Valtchinov, Kim Rasmussen, Boian Alexandrov

Let's Talk About Language! Investigating Linguistic Diversity in Embodied {AI} Datasets

The linguistic quality of Embodied AI (EAI) datasets is underexplored. We present a feature extraction pipeline that quantifies …

Selma Liliane Wanna, Agnes Luhtaru, Ryan Barron, Jonathan Salfity, Juston Moore, Cynthia Matuszek, Mitch Pryor

Topic Modeling and Link-Prediction for Material Property Discovery

Link prediction is a key network analysis technique that infers missing or future relations between nodes in a graph, based on observed …

Ryan C. Barron, Maksim E. Eren, Valentin Stanev, Cynthia Matuszek, Boian S. Alexandrov

Catch 'em all, Classification of Rare, Prominent, and Novel Malware Families

National security is threatened by malware, which remains one of the most dangerous and costly cyber threats. As of last year, …

Maksim E. Eren, Ryan Barron, Manish Bhattarai, Selma Wanna, Nicholas Solovyev, Kim Rasmussen, Boian S. Alexandrov, Charles Nicholas

Catch 'em all, Classification of Rare, Prominent, and Novel Malware Families

Cyber-Security Knowledge Graph Generation by Hierarchical Nonnegative Matrix Factorization

Much of human knowledge in cybersecurity is encapsulated within the ever-growing volume of scientific papers. As this textual data …

Ryan Barron, Maksim E. Eren, Manish Bhattarai, Selma Wanna, Nicholas Solovyev, Kim Rasmussen, Boian S. Alexandrov, Charles Nicholas, Cynthia Matuszek

Cyber-Security Knowledge Graph Generation by Hierarchical Nonnegative Matrix Factorization

Binary Bleed: Fast Distributed and Parallel Method for Automatic Model Selection

In several Machine Learning (ML) clustering and dimensionality reduction approaches, such as non-negative ma- trix factorization (NMF), …

Ryan Barron, Maksim E. Eren, Manish Bhattarai, Ismael Boureima, Cynthia Matuszek, Boian S. Alexandrov

Domain-Specific Retrieval-Augmented Generation Using Vector Stores, Knowledge Graphs, and Tensor Factorization

Large Language Models (LLMs) are pre-trained on large-scale corpora and excel in numerous general natural language processing (NLP) …

Ryan C. Barron, Vesselin Grantcharov, Selma Wanna, Maksim E. Eren, Manish Bhattarai, Nicholas Solovyev, George Tompkins, Charles Nicholas, Kim Ø. Rasmussen, Cynthia Matuszek, Boian S. Alexandrov

TopicTag: Automatic Annotation of NMF Topic Models Using Chain of Thought and Prompt Tuning with LLMs

Topic modeling is a technique for organizing and extracting themes from large collections of unstructured text. Non-negative matrix …

Selma Wanna, Nicholas Solovyev, Ryan Barron, Maksim E. Eren, Manish Bhattarai, Kim \O{}. Rasmussen, Boian S. Alexandrov

Interactive Distillation of Large Single-Topic Corpora of Scientific Papers

Highly specific datasets of scientific literature are important for both research and education. However, it is difficult to build such …

Nicholas Solovyev, Ryan Barron, Manish Bhattarai, Maksim E. Eren, Kim Ø. Rasmussen, Boian S. Alexandrov

Interactive Distillation of Large Single-Topic Corpora of Scientific Papers