Arafat Sultan, Avi Sil, et al.
EMNLP 2022
The field of Question Answering (QA) has made remarkable progress in recent years, thanks to the advent of large pre-trained language models, newer realistic benchmark datasets with leaderboards, and novel algorithms for key components such as retrievers and readers. In this paper, we introduce PRIMEQA: a one-stop and open-source QA repository with an aim to democratize QA re-search and facilitate easy replication of state-of-the-art (SOTA) QA methods. PRIMEQA supports core QA functionalities like retrieval and reading comprehension as well as auxiliary capabilities such as question this http URL has been designed as an end-to-end toolkit for various use cases: building front-end applications, replicating SOTA methods on public benchmarks, and expanding pre-existing methods
Arafat Sultan, Avi Sil, et al.
EMNLP 2022
Ge Gao, Xi Yang, et al.
AAAI 2024
Weichao Mao, Haoran Qiu, et al.
NeurIPS 2023
Alice Driessen, Susane Unger, et al.
ISMB 2023