OSCaR: Object State Captioning and State Change Representation (2024.findings-naacl)
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| Challenge: | Existing methods to extrapolate and comprehend changes in object states are limited . relying on a small set of symbolic words to represent changes has restricted expressiveness of language. |
| Approach: | They propose a dataset and benchmark to evaluate multimodal large language models . they investigate causal relations between a concrete action and the change . |
| Outcome: | The proposed method achieves near parity with GPT-4V ratings across helpfulness, accuracy, reasoning, and other key metrics. |
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