Soft Prompt Decoding for Multilingual Dense Retrieval

Author:

Huang Zhiqi1ORCID,Zeng Hansi1ORCID,Zamani Hamed1ORCID,Allan James1ORCID

Affiliation:

1. University of Massachusetts Amherst, Amherst, MA, USA

Funder

Intelligence Advanced Research Projects Activity

Publisher

ACM

Reference83 articles.

1. Armen Aghajanyan , Anchit Gupta , Akshat Shrivastava , Xilun Chen , Luke Zettlemoyer , and Sonal Gupta . 2021 . Muppet: Massive Multi-task Representations with Pre-Finetuning. ArXiv , Vol. abs/ 2101 .11038 (2021). Armen Aghajanyan, Anchit Gupta, Akshat Shrivastava, Xilun Chen, Luke Zettlemoyer, and Sonal Gupta. 2021. Muppet: Massive Multi-task Representations with Pre-Finetuning. ArXiv, Vol. abs/2101.11038 (2021).

2. Learning bilingual word embeddings with (almost) no bilingual data

3. Mikel Artetxe , Sebastian Ruder , and Dani Yogatama . 2019. On the cross-lingual transferability of monolingual representations. arXiv preprint arXiv:1910.11856 ( 2019 ). Mikel Artetxe, Sebastian Ruder, and Dani Yogatama. 2019. On the cross-lingual transferability of monolingual representations. arXiv preprint arXiv:1910.11856 (2019).

4. Akari Asai , Mohammadreza Salehi , Matthew E. Peters , and Hannaneh Hajishirzi . 2022 . ATTEMPT: Parameter-Efficient Multi-task Tuning via Attentional Mixtures of Soft Prompts. Akari Asai, Mohammadreza Salehi, Matthew E. Peters, and Hannaneh Hajishirzi. 2022. ATTEMPT: Parameter-Efficient Multi-task Tuning via Attentional Mixtures of Soft Prompts.

5. Training Effective Neural CLIR by Bridging the Translation Gap

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