Tencent Hy

@TencentHunyuan

🚀 EvolveScaler is here. Read a 40-day RPG log. Now answer one question: if you skip the mini-boss on Day 7, do you still beat the final boss? The answer isn't in the log. You have to replay the world. That's Information Evolution — records get retracted, corrected, backfilled. The world keeps changing after you read it. So we build it backwards: define the world as an executable state machine, then render it into natural language. Code guarantees the logic. Language delivers the mess. ➡️ 117 prototypes. 159 question operators. 5 difficulty tiers. Up to ~1,200 events per sample. ➡️ 14 frontier models, hardest tier: median avg@5 falls to 11.3. ➡️ Train on it instead: +5.25 average across 8 out-of-distribution benchmarks. Check out our paper and project page. 📚 Paper: https://t.co/wmDPkSiwre 🏠 Project Page: https://t.co/Jt7UPkZtCp
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