Cross-Lingual and Cross-Cultural Variation in Image Descriptions (2025.naacl-long)
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| Challenge: | Behavioural and cognitive studies report cultural effects on perception, but these are limited in scope and hard to replicate. |
| Approach: | They develop a method to accurately identify entities mentioned in captions and present in images, then measure how they vary across languages. |
| Outcome: | The proposed method corroborates previous studies showing that languages that are geographically or genetically closer mention entities more frequently than others. |
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| Challenge: | a new paper examines the problem of computing cross-cultural differences and similarities in natural language understanding . cross-culture differences are important for cross-lingual research, especially in social media . |
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Describing Images Fast and Slow: Quantifying and Predicting the Variation in Human Signals during Visuo-Linguistic Processes (2024.eacl-long)
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| Challenge: | Existing models of visuo-linguistic variation are weak to moderately trained to capture such a variation in visual outputs. |
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| Challenge: | Cultural variation exists between nations, but also within regions . Historically, it has been difficult to computationally model cultural variation due to a lack of training data and scalability constraints. |
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| Challenge: | Cross-lingual alignment is the meaningful similarity of representations across languages in multilingual language models. |
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| Challenge: | Existing methods to detect cross-linguistic associations are not effective, but their effects are minor. |
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| Challenge: | a new study examines whether large language models acquire embodied cognition and cultural conventions from training data . demonstratives are a natural lens for evaluating linguistic phenomena that reflect cultural variation . aaron e. duan and j. nà: "the complexity of the language model is a major challenge for LLMs" |
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A Large-Scale Multilingual Study of Visual Constraints on Linguistic Selection of Descriptions (2023.findings-eacl)
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| Challenge: | a multilingual study examines how vision constrains linguistic choice . we use existing annotations to investigate the effect of different visual conditions on numeral expressions in captions . |
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Challenges and Strategies in Cross-Cultural NLP (2022.acl-long)
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Daniel Hershcovich, Stella Frank, Heather Lent, Miryam de Lhoneux, Mostafa Abdou, Stephanie Brandl, Emanuele Bugliarello, Laura Cabello Piqueras, Ilias Chalkidis, Ruixiang Cui, Constanza Fierro, Katerina Margatina, Phillip Rust, Anders Søgaard
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Cultural and Geographical Influences on Image Translatability of Words across Languages (2021.naacl-main)
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| Challenge: | Neural machine translation models produce poor translations when there are few/no parallel sentences to train the models. |
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Towards Understanding Sample Variance in Visually Grounded Language Generation: Evaluations and Observations (2020.emnlp-main)
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| Challenge: | A major challenge in visually grounded language generation is to build robust benchmark datasets and models that can generalize well in real-world settings. |
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