Shivashankar Subramanian, Ioana Baldini, et al.
IAAI 2020
Open Retrieval Question Answering (OpenQA) systems are made of two key components: retrievers and readers, both of which have seen rapid advancements in their cross-lingual capabilities across modalities. This brings up a new challenge of ensuring efficiency, reproducibility and easy reusability of these state-of-the-art (SOTA) retrievers and readers. In this tutorial, we will first cover recent advances in multilingual and multi-modal retrievers and readers across structured tabular data and unstructured text data, with a specific focus to using them in OpenQA. We will also introduce a novel toolkit which hosts multiple SOTA retrievers and readers, and have hands-on sessions to demonstrate how to build robust OpenQA systems with SOTA models using this toolkit.
https://ijcai-23.org/tutorials/
This is a 3 hour tutorial with presenters from IBM, Stanford, UIUC, UWaterloo
Shivashankar Subramanian, Ioana Baldini, et al.
IAAI 2020
Kevin Gu, Eva Tuecke, et al.
ICML 2024
Gabriele Picco, Lam Thanh Hoang, et al.
EMNLP 2021
Hui Wan, Song Feng, et al.
NAACL 2021