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We introduce Seed-Thinking-v1.5, a Mixture-of-Experts (MoE) model with a relatively small size, featuring 20B activated and 200B total parameters, capable of reasoning through thinking before responding, resulting in improved performance on a widerange of benchmarks.

We briefly review the recent progress of knowledge-guided NLG, sets ten goals for future development, and envisions challenges in attaining these objectives.