Repository for the paper "On Monotonic Aggregation for Open-domain QA", presenting a new approach to improve accuracy and robustness in multi-source QA, especially when handling noise from speech recognition.
Access the datasets used in our research via link
Access the trained models of our Judge-Specialist Framework via link
We're refining our code and will upload it soon.
Our framework is for non-commercial use only. For potential violations, contact us.
Cite our paper if you find it useful:
@article{han2023monotonic,
title={On Monotonic Aggregation for Open-domain QA},
author={Han, Sang-eun and Jeong, Yeonseok and Hwang, Seung-won and Lee, Kyungjae},
journal={arXiv preprint arXiv:2308.04176},
year={2023}
}
For any questions about the implementation or content of the paper, you could contact me via the following email: