智谱公司的GLM-5-thinking获得37.3分,深度求索的DeepSeek-V3.2-thinking取得31.2分。阿里巴巴的千问Qwen-3.5-plus-thinking以26.9分位列第十七名。
5. Explore alternatives through stepwise refinementOne of TLA+'s greatest strengths is that it supports fast exploration of protocol variants. The key technique is stepwise refinement: start with the most abstract specification of your problem, then progressively add implementation detail, verifying at each step that the refinement preserves the invariants from the level above.
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