IJCNLP-AACL 2025: Our paper “Revisiting Word Embeddings in the LLM Era” got accepted

Nov 10, 2025·
Yash Mahajan
Yash Mahajan
· 1 min read
blog

Published in the Proceedings of the 14th International Joint Conference on Natural Language Processing and the 4th Conference of the Asia-Pacific Chapter of the ACL (pp. 2686–2717).

Read the paper

Yash Mahajan
Authors
Postdoctoral Researcher, BridgeAI Lab
I’m a postdoctoral researcher in the BridgeAI Lab at the University of Central Florida, where I study how language models and AI systems should be evaluated, selected, and deployed when aggregate benchmark scores do not capture semantic behavior, user requirements, or deployment constraints. I completed my Ph.D. in Computer Science and Software Engineering at Auburn University in 2025, advised by Dr. Sathyanarayanan N. Aakur and co-advised by Dr. Shubhra Kanti (Santu) Karmaker, with a dissertation on evaluating semantic and contextual alignment in language models. My current work combines model evaluation, resource-aware model selection, and scalable inference into reproducible methods for matching AI models to real-world tasks.