Damon L. Woodard

Resource Usage Evaluation of Discrete Model-Free Deep Reinforcement Learning Algorithms

2025

Deep Reinforcement Learning (DRL) has become popular due to promising results in chatbot, healthcare, and autonomous driving applications. However, few DRL algorithms are rigorously evaluated in terms of their space or time efficiency, making them …

From Syntax to Semantics: Evaluating the Impact of Linguistic Structures on LLM-Based Information Extraction

2025

Large Language Models (LLMs) have brought significant breakthroughs across all areas of Natural Language Processing (NLP), including Information Extraction (IE).However, knowledge gaps remain regarding their effectiveness in extracting entity-relation triplets, i.e.Joint Relation Extraction (JRE).JRE has …