5 papers
Text to Automata Diagrams: Comparing TikZ Code Generation with Direct Image Synthesis
Ethan Young, Zichun Wang, Aiden Taylor +6
Diagrams are widely used in teaching computer science courses. They are useful in subjects such as automata and formal languages, data structures, etc. These diagrams, often drawn…
Generating Hierarchical JSON Representations of Scientific Sentences Using LLMs
Satya Sri Rajiteswari Nimmagadda, Ethan Young, Niladri Sengupta +2
This paper investigates whether structured representations can preserve the meaning of scientific sentences. To test this, a lightweight LLM is fine-tuned using a novel structural…
Prompt-Based Caption Generation for Single-Tooth Dental Images Using Vision-Language Models
Anastasiia Sukhanova, Aiden Taylor, Julian Myers +5
Digital dentistry has made significant advances with the advent of deep learning. However, the majority of these deep learning-based dental image analysis models focus on very spec…
Convergence of Outputs When Two Large Language Models Interact in a Multi-Agentic Setup
Aniruddha Maiti, Satya Nimmagadda, Kartha Veerya Jammuladinne +2
In this work, we report what happens when two large language models respond to each other for many turns without any outside input in a multi-agent setup. The setup begins with a s…
Comparative Analysis of OpenAI GPT-4o and DeepSeek R1 for Scientific Text Categorization Using Prompt Engineering
Aniruddha Maiti, Samuel Adewumi, Temesgen Alemayehu Tikure +4
This study examines how large language models categorize sentences from scientific papers using prompt engineering. We use two advanced web-based models, GPT-4o (by OpenAI) and Dee…