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README.md

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 *Latest News* 🔥
 
-[Latest] We are officially integrated by [VLMEvalKit](https://github.com/open-compass/VLMEvalKit). [Intern-S1](https://github.com/InternLM/Intern-S1), the most advanced open-source multimodal reasoning model to date, benchmarked on SFE.
+[Latest] [Seed-1.8](https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/research/Seed-1.8-Modelcard.pdf), the model with native support for generalized real-world agency, is benchmarked on SFE.
 
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-- [2025/07] [Intern-S1](https://github.com/InternLM/Intern-S1), the most advanced open-source multimodal reasoning model to date, benchmarked on SFE.
+- [2025/12] [Seed-1.8](https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/research/Seed-1.8-Modelcard.pdf), the model with native support for generalized real-world agency, is benchmarked on SFE.
+- [2025/07] [Intern-S1](https://github.com/InternLM/Intern-S1), the most advanced open-source multimodal reasoning model to date, is benchmarked on SFE.
 - [2025/07] We are officially integrated by [VLMEvalKit](https://github.com/open-compass/VLMEvalKit).
 - [2025/06] We officially released SFE! SFE is designed to evaluate the scientific cognitive capacities of MLLMs through three cognitive levels: **scientific signal perception**, **scientific attribute understanding**, and **scientific comparative reasoning**.
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