Papers by Yingshan Chang
VISREAS: Complex Visual Reasoning with Unanswerable Questions (2024.findings-acl)
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| Challenge: | Logic2Vision is a visual question-answering dataset that validates question authenticity with the corresponding image and then reasoning over it. |
| Approach: | They propose a compositional visual question-answering dataset, VisReas, that consists of answerable and unanswerable visual queries . they use visual genome scene graphs to generate the query and the reasoning steps to generate it. |
| Outcome: | The proposed model outperforms generative models and the existing classification models and outperformed existing models. |
Tools Fail: Detecting Silent Errors in Faulty Tools (2024.emnlp-main)
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| Challenge: | a failure in one tool can trigger a cascade of errors, leading to complete task failure. |
| Approach: | They propose a framework for tools more broadly which explores a model’s ability to detect “silent” tool errors and reflect on how to plan. |
| Outcome: | The proposed approach shows that the model can detect "silent" tool errors and plan. |