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beam_retriever_unofficial
scholarly-shadows-syndicate/beam_retriever_unofficial
beam_retriever_unofficial is a machine learning model from scholarly-shadows-syndicate. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as apache-2.0.
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At a glance
- Library
- transformers
- License
- apache-2.0
- Model type
- retriever
- Access
- Public
- Created
- Jan 8, 2024
- Updated
- Jan 9, 2024
- SHA
- 6d0d030f
Model card
From the Hugging Face model README
Beam Retrieval: General End-to-End Retrieval for Multi-Hop Question Answering (Zhang et all 2023)
Unofficial mirror of Beam Retriever
See this repo for the finetuned encoder.
Usage
Citations
@article{Zhang2023BeamRG,
title={Beam Retrieval: General End-to-End Retrieval for Multi-Hop Question Answering},
author={Jiahao Zhang and H. Zhang and Dongmei Zhang and Yong Liu and Sheng Huang},
journal={ArXiv},
year={2023},
volume={abs/2308.08973},
url={https://api.semanticscholar.org/CorpusID:261030563}
}
@article{He2020DeBERTaDB,
title={DeBERTa: Decoding-enhanced BERT with Disentangled Attention},
author={Pengcheng He and Xiaodong Liu and Jianfeng Gao and Weizhu Chen},
journal={ArXiv},
year={2020},
volume={abs/2006.03654},
url={https://api.semanticscholar.org/CorpusID:219531210}
}
- Library
- transformers
- Type
- retriever
- License
- apache-2.0
- Created
- Jan 8, 2024
- Updated
- Jan 9, 2024