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+ ---
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+
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+ language: en
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+
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+ license: apache-2.0
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+
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+ ---
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+
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+
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+ # 🏬QAmden🏬: Question-Answering-based Multi-DocumENt model
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+
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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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+
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+
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+ You can use it by
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+
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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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+
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+ model = LEDForConditionalGeneration.from_pretrained('biu-nlp/QAmden-multinews')
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+ ```
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+
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+ The original repo is [here](https://github.com/aviclu/peekacross).
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+
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+ If you find our work useful, please cite the paper as:
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+
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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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+ ```