3 papers
cs.CV2026
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…
cs.CL2026
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…
cs.CV2026
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…