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README.md
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@@ -199,16 +199,18 @@ Official repository for the paper "[MMSearch: Benchmarking the Potential of Larg
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π For more details, please refer to the project page with dataset exploration and visualization tools: [https://mmsearch.github.io/](https://mmsearch.github.io).
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[[π Webpage](https://mmsearch.github.io/)] [[π Paper]()] [[π€ Huggingface Dataset](https://huggingface.co/datasets/CaraJ/MMSearch)] [[π Leaderboard](https://mmsearch.github.io/#leaderboard)] [[π Visualization](https://huggingface.co/datasets/CaraJ/MMSearch/viewer)]
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## π₯ News
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- **[2024.09.
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## π ToDo
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- Coming soon: *
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## π About MMSearch
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π For more details, please refer to the project page with dataset exploration and visualization tools: [https://mmsearch.github.io/](https://mmsearch.github.io).
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[[π Webpage](https://mmsearch.github.io/)] [[π Paper](https://arxiv.org/pdf/2409.12959)] [[π€ Huggingface Dataset](https://huggingface.co/datasets/CaraJ/MMSearch)] [[π Leaderboard](https://mmsearch.github.io/#leaderboard)] [[π Visualization](https://huggingface.co/datasets/CaraJ/MMSearch/viewer)]
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## π₯ News
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- **[2024.09.25]** π The [evaluation code](https://github.com/CaraJ7/MMSearch#-evaluation-by-yourself) now supports directly use models implemented in [VLMEvalKit](https://github.com/open-compass/VLMEvalKit)!
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- **[2024.09.22]** π₯ We release the [evaluation code](https://github.com/CaraJ7/MMSearch#-evaluation-by-yourself), which you only need to add an inference API of your LMM!
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- **[2024.09.20]** π We release the [arXiv paper](https://arxiv.org/abs/2409.12959) and all MMSearch data samples in [huggingface dataset](https://huggingface.co/datasets/CaraJ/MMSearch).
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## π ToDo
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- Coming soon: *MMSearch-Engine (for new query)*
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## π About MMSearch
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