Papers by Adrian Lopez Monroy
Adaptive Cross-lingual Text Classification through In-Context One-Shot Demonstrations (2024.naacl-long)
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| Challenge: | Zero-Shot Cross-lingual transfer (ZS-XLT) uses a model trained in a source language to make predictions in another language, often with a performance loss. |
| Approach: | They propose a new approach that uses In-Context Tuning to train a model to learn from context examples and adapt it to a target language by prepending a One-Shot context demonstration. |
| Outcome: | The proposed approach outperforms prompt-based models in Zero-Shot and Few-shot scenarios with target-language examples. |