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README.md

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+# TemMed-Bench: Evaluating Temporal Medical Image Reasoning in Vision-Language Models
+
+[**🌐 Homepage**](https://t) | [**🤗 Dataset**](https://t) | [**📖 Paper**](https://t)
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+
+
+## Intro
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+<img src="./misc/Teaser_Figure.png" width="1000" />
+
+TemMed-Bench features three primary highlights. 
+- (1) **Temporal reasoning focus**: each sample in TemMed-Bench includes historical condition information, challenging models to analyze changes in patient conditions over time. 
+- (2) **Multi-image input**: each sample in TemMed-Bench contains multiple images from different visits as input, emphasizing the need for models to process and reason over multiple images. 
+- (3) **Diverse task suite**: TemMed-Bench comprises three tasks including VQA, report generation, and image-pair selection. These tasks are all built upon a test set consisting of 1,000 samples. Additionally, TemMed-Bench includes a knowledge corpus with over 17,000 instances.
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+
+
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+## Benchmark Overview
+
+Examples of the three tasks in TemMed-Bench:
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+<img src="./misc/Task_Figure.png" width="800" />
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+
+Key statistics of TemMed-Bench:
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+<img src="./misc/Data_Amount.png" width="400" />
+
+
+## Load Dataset
+
+- Coming Soon
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+
+
+
+## Contact
+
+* Junyi Zhang: [email protected]
+
+
+## Citation
+
+- Coming Soon