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Ryan Barron

Bridging Legal Knowledge and AI: Retrieval-Augmented Generation with Vector Stores, Knowledge Graphs, and Hierarchical Non-negative Matrix Factorization
HEAL: Hierarchical Embedding Alignment Loss for Improved Retrieval and Representation Learning
Domain-Specific Retrieval-Augmented Generation Using Vector Stores, Knowledge Graphs, and Tensor Factorization
Binary Bleed: Fast Distributed and Parallel Method for Automatic Model Selection
TopicTag: Automatic Annotation of NMF Topic Models Using Chain of Thought and Prompt Tuning with LLMs
Cyber-Security Knowledge Graph Generation by Hierarchical Nonnegative Matrix Factorization
Catch'em all: Classification of Rare, Prominent, and Novel Malware Families
Interactive Distillation of Large Single-Topic Corpora of Scientific Papers
Sub-topic and Semantic Sub-structure Extraction via SPLIT: Joint Nonnegative Matrix Factorization (NMF) with Automatic Model Selection

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