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README.md
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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 fine-tuned over multinews: *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-multinews')
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model = LEDForConditionalGeneration.from_pretrained('biu-nlp/QAmden-multinews')
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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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