Papers with cross-lingual setups
Delving Deeper into Cross-lingual Visual Question Answering (2023.findings-eacl)
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| Challenge: | Existing studies on cross-lingual VQA have reported poor zero-shot transfer performance of current multilingual multimodal Transformers . lack of multilingual resources has hindered development and evaluation of VQA methods beyond the English language . |
| Approach: | They analyze cross-lingual VQA across different question types of varying complexity . they show that simple modifications to the standard training setup can substantially reduce the transfer gap to monolingual English performance. |
| Outcome: | The proposed model significantly reduces the transfer gap to monolingual English performance . the proposed model also improves on question types and languages . |
Enough Is Enough! a Case Study on the Effect of Data Size for Evaluation Using Universal Dependencies (2024.lrec-main)
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| Challenge: | a recent study suggests that large datasets require large amounts of simulated data and scores to perform model evaluation. |
| Approach: | They propose to use dependency parsing to optimize annotation efforts by using a sample size of 5,000 tokens for in-language in-domain datasets. |
| Outcome: | The proposed method can be applied to other tasks, including classification and translation tasks. |