1 citations · 3 across the 3 of their papers we have counts for
3 papers
An Exploration of Data Efficiency in Intra-Dataset Task Transfer for Dialog Understanding
Josiah Ross, Luke Yoffe, Alon Albalak +1
Transfer learning is an exciting area of Natural Language Processing that has the potential to both improve model performance and increase data efficiency. This study explores the…
Data-Efficiency with a Single GPU: An Exploration of Transfer Methods for Small Language Models
Alon Albalak, Akshat Shrivastava, Chinnadhurai Sankar +2
Multi-task learning (MTL), instruction tuning, and prompting have recently been shown to improve the generalizability of large language models to new tasks. However, the benefits o…
Addressing Issues of Cross-Linguality in Open-Retrieval Question Answering Systems For Emergent Domains
Alon Albalak, Sharon Levy, William Yang Wang
Open-retrieval question answering systems are generally trained and tested on large datasets in well-established domains. However, low-resource settings such as new and emerging do…