Papers by Jia Qing Tan
ChartQA: A Benchmark for Question Answering about Charts with Visual and Logical Reasoning (2022.findings-acl)
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| Challenge: | Existing datasets that focus on complex reasoning questions do not address such questions as they are template-based and answers come from a fixed-vocabulary. |
| Approach: | They propose a large-scale benchmark that uses visual and logical reasoning to answer questions using a transformer-based model. |
| Outcome: | The proposed models achieve state-of-the-art on the previous datasets and on the current one, but also show that they have several challenges in answering complex reasoning questions. |
OpenCQA: Open-ended Question Answering with Charts (2022.emnlp-main)
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| Challenge: | OpenCQA is a task to answer open-ended questions about charts with descriptive texts. |
| Approach: | They propose a task to answer open-ended questions about charts with descriptive texts. |
| Outcome: | The proposed task is to answer an open-ended question about a chart with descriptive texts. |