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biu-nlp/
QAmden-multinews

Name: QAmden-multinews
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🏬QAmden🏬: Question-Answering-based Multi-DocumENt model

HF-version of the QAmden model fine-tuned over multinews: Peek Across: Improving Multi-Document Modeling via Cross-Document Question-Answering (ACL 2023).

You can use it by

python

from transformers import (
    AutoTokenizer,
    LEDConfig,
    LEDForConditionalGeneration,
)
# load model and tokenizer
tokenizer = AutoTokenizer.from_pretrained('biu-nlp/QAmden')
config=LEDConfig.from_pretrained('biu-nlp/QAmden-multinews')

model = LEDForConditionalGeneration.from_pretrained('biu-nlp/QAmden-multinews')

The original repo is here.

If you find our work useful, please cite the paper as:

python

@article{caciularu2023peekacross,
  title={Peek Across: Improving Multi-Document Modeling via Cross-Document Question-Answering},
  author={Caciularu, Avi and Peters, Matthew E and Goldberger, Jacob and Dagan, Ido and Cohan, Arman},
  journal={The 61st Annual Meeting of the Association for Computational Linguistics: ACL 2023},
  year={2023}
}