Aman Jaiswal

Aman Jaiswal is a PhD researcher at Dalhousie University, focusing on the sensitivity of large language and vision-language models to lexical and semantic variations. His current work explores compositional learning in LLMs and the use of LLM agents for synthetic data annotation. Aman has co-created benchmark datasets like SUGARCREPE++ and VISLA, presented at NeurIPS.