8 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…
Toward Generalizable Surrogate Models for Molecular Dynamics via Graph Neural Networks
Judah Immanuel, Avik Mahata, Aniruddha Maiti
We present a graph neural network (GNN) based surrogate framework for molecular dynamics simulations that directly predicts atomic displacements and learns the underlying evolution…
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…
SaViD: Spectravista Aesthetic Vision Integration for Robust and Discerning 3D Object Detection in Challenging Environments
Tanmoy Dam, Sanjay Bhargav Dharavath, Sameer Alam +4
The fusion of LiDAR and camera sensors has demonstrated significant effectiveness in achieving accurate detection for short-range tasks in autonomous driving. However, this fusion…