Aryan Keluskar

Visit my website at aryankeluskar.com

I'm a Junior in Computer Science at Arizona State University currently working on Natural Language Processing and Artificial Intelligence. I focus on understanding and improving how Large Language Models (LLMs) handle ambiguity in text, particularly in open-domain question answering contexts.

My current research investigates how LLMs process and respond to ambiguous queries, and I'm developing methods to enhance their disambiguation capabilities. I recently published work examining LLM performance on ambiguous questions and demonstrated how token-level disambiguation strategies can improve their accuracy. My broader research interests include making AI systems more robust and reliable when dealing with the natural uncertainties present in human language.

I collaborate with researchers in ASU's Data Mining and Machine Learning Lab (DMML) under the guidance of Dr. Huan Liu. Our work aims to advance the field's understanding of LLM behavior and develop practical solutions for improving their real-world applications. When I'm not researching, I enjoy contributing to open-source projects and sharing my technical knowledge through my personal website at aryankeluskar.com.