activity
20242026
collaborators

10 papers

cs.HC2026

Navigation Alone Is Not Enough: Evaluating Explanatory Assistive UI Agents

Santosh Patapati

Modern web interfaces are increasingly difficult to use with screen readers, particularly when pages update dynamically or hide important structure behind visual layout. Recent UI…

cs.LG2026

Graph Coloring for Multi-Task Learning

Santosh Patapati, Ian Noronha

When different objectives conflict with each other in multi-task learning, gradients begin to interfere and slow convergence, thereby potentially reducing the final model's perform…

cs.CV2025

Vision-Language Cross-Attention for Real-Time Autonomous Driving

Santosh Patapati, Trisanth Srinivasan, Murari Ambati

Autonomous cars need geometric accuracy and semantic understanding to navigate complex environments, yet most stacks handle them separately. We present XYZ-Drive, a single vision-l…

cs.CV2025

Goal-Based Vision-Language Driving

Santosh Patapati, Trisanth Srinivasan

Autonomous vehicles must react in milliseconds while reasoning about road geometry and traffic intent to navigate complex situations. We introduce NovaDrive, a single-branch vision…

cs.AI2025

Democracy-in-Silico: Institutional Design as Alignment in AI-Governed Polities

Trisanth Srinivasan, Santosh Patapati

This paper introduces Democracy-in-Silico, an agent-based simulation where societies of advanced AI agents, imbued with complex psychological personas, govern themselves under diff…

cs.AI2025

WebNav: An Intelligent Agent for Voice-Controlled Web Navigation

Trisanth Srinivasan, Santosh Patapati

The current state of modern web interfaces, especially in regards to accessibility focused usage is extremely lacking. Traditional methods for web interaction, such as scripting la…