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--- |
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language: en |
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license: apache-2.0 |
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--- |
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# 🏬QAmden🏬: Question-Answering-based Multi-DocumENt model |
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HF-version of the QAmden model: *Peek Across*: Improving Multi-Document Modeling via Cross-Document Question-Answering (ACL 2023). |
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You can use it by |
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```python |
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from transformers import ( |
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AutoTokenizer, |
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LEDConfig, |
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LEDForConditionalGeneration, |
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) |
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# load model and tokenizer |
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tokenizer = AutoTokenizer.from_pretrained('biu-nlp/QAmden') |
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config=LEDConfig.from_pretrained('biu-nlp/QAmden') |
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model = LEDForConditionalGeneration.from_pretrained('biu-nlp/QAmden') |
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``` |
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The original repo is [here](https://github.com/aviclu/peekacross). |
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If you find our work useful, please cite the paper as: |
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```python |
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@article{caciularu2023peekacross, |
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title={Peek Across: Improving Multi-Document Modeling via Cross-Document Question-Answering}, |
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author={Caciularu, Avi and Peters, Matthew E and Goldberger, Jacob and Dagan, Ido and Cohan, Arman}, |
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journal={The 61st Annual Meeting of the Association for Computational Linguistics: ACL 2023}, |
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year={2023} |
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} |
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``` |
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