We are thrilled to announce that our paper, “When Raw Data Prevails: Are Large Language Model Embeddings Effective in Numerical Data Representation for Medical Machine Learning Applications?” has been accepted to the Empirical Methods on Natural Language Processing (EMNLP) 2024 conference as a Findings paper!
We are thrilled to announce that our paper, “Learning to Maximize Mutual Information for Chain-of-Thought Distillation,” has been accepted to the prestigious Association for Computational Linguistics (ACL) 2024 conference as a Findings paper!
We are hiring!!!
