Papers by Lilitta Muradjan

1 papers
VALSE: A Task-Independent Benchmark for Vision and Language Models Centered on Linguistic Phenomena (2022.acl-long)

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Challenge: Current models have difficulty addressing most phenomena, despite performance gains on many V&L tasks.
Approach: They propose a benchmark for testing general-purpose pretrained vision and language models for their visio-linguistic grounding capabilities on specific linguistic phenomena.
Outcome: The proposed model can be used to evaluate models on linguistic phenomena in the visual modality.

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