| title | Seed2.0 Model Card: Towards Intelligence Frontier for Real-World Complexity |
|---|---|
| authors | Bytedance Seed |
| date | 2026-06-30 |
| venue | arXiv (preprint, not peer reviewed) |
| id | arXiv:2607.00248 |
| affiliation | ByteDance Seed |
| upvotes | 30 (Hugging Face Daily Papers, 2026-11-01) |
| links | abs pdf hf |
| abstract | We present Seed2.0, a model series that takes a meaningful step toward solving complex, real-world tasks. Our approach begins with identifying users' genuine needs and constructing a reliable, forward-looking evaluation system by selecting and abstracting benchmarks grounded in these needs and in realistic, complex scenarios. Guided by this evaluation system, Seed2.0 targets two persistent challenges, long-tail knowledge and complex instruction following, substantially improving the model's reliability on intricate, long-horizon tasks. Beyond these, Seed2.0 delivers world-leading reasoning intelligence, visual understanding, and search capabilities that address the most common needs of a broad user base. Through extensive real-world use cases documented in this model card, we demonstrate that Seed2.0 begins to exhibit the ability to handle initial complex real-world tasks, delivering greater value to hundreds of millions of users. |
cite
@misc{seed2026seed,
title={Seed2.0 Model Card: Towards Intelligence Frontier for Real-World Complexity},
author={Bytedance Seed},
year={2026},
eprint={2607.00248},
archivePrefix={arXiv},
url={https://arxiv.org/abs/2607.00248}
}