Souvika Sarkar

AI-powered systems for accessing critical public services like food pantries struggle with retrieval robustness and inconsistent data, highlighting the need for more resilient IR techniques.

Bigger isn't always better: smaller, task-aligned LLMs can exhibit more consistent annotation behavior than their larger counterparts in sensitive, low-resource settings like Bangla hate speech detection.