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Judge-Specialist Framework for QA

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.

Paper Link

Overview of Judge-Specialist Framework

Dataset Access

Access the datasets used in our research via link

Model Checkpoint Access

Access the trained models of our Judge-Specialist Framework via link

Code

We're refining our code and will upload it soon.

License

Our framework is for non-commercial use only. For potential violations, contact us.

Citation

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}
}

Contact

For any questions about the implementation or content of the paper, you could contact me via the following email:

jys3136@snu.ac.kr

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[INTERSPEECH 2023] On Monotonic Aggregation for Open-domain QA

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