2023. Efficient Zero-Shot Cross-lingual Inference via Retrieval. In Proceedings of the 13th International Joint Conference on Natural Language Processing and ...
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Nov 4, 2023 · In this paper, we present a simple, yet effective framework for zero-shot inference in a target lan- guage via cross-lingual retrieval.
Dec 20, 2022 · In this work, we propose transferring monolingual retrieval models using adapters, a parameter-efficient component for a transformer network.
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Nov 3, 2023 · The poster for "Efficient Zero-Shot Cross-lingual Inference via Retrieval," a paper by @gentaiscool, Lingjue Xie, Karthik Radhakrishnan, ...
Efficient Zero-Shot Cross-lingual Inference via Retrieval. Genta Winata | Lingjue Xie | Karthik Radhakrishnan | Yifan Gao | Daniel Preotiuc-Pietro |. Paper ...
In this work, we propose transferring monolingual retrieval models using adapters, a parameter- efficient component for a transformer network. By adding ...
This paper proposes to use parameter efficient fine-tuning methods to reduce the disparity between different languages in vision-language pre-trained models ( ...
Oct 10, 2024 · We present a new method to compose knowledge from parameter-efficient modules using arithmetic operations in order to improve zero-shot cross-.
This work presents a simple yet practical approach for building a cross-lingual image retrieval model which trains on a monolingual training dataset but can ...
Abstract. We present a neural architecture for cross-lingual mate sentence re- trieval which encodes sentences in a joint multilingual space and learns to ...
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