会议经表决，免去刘少云的中国人民解放军军事法院院长职务。
Even though my dataset is very small, I think it's sufficient to conclude that LLMs can't consistently reason. Also their reasoning performance gets worse as the SAT instance grows, which may be due to the context window becoming too large as the model reasoning progresses, and it gets harder to remember original clauses at the top of the context. A friend of mine made an observation that how complex SAT instances are similar to working with many rules in large codebases. As we add more rules, it gets more and more likely for LLMs to forget some of them, which can be insidious. Of course that doesn't mean LLMs are useless. They can be definitely useful without being able to reason, but due to lack of reasoning, we can't just write down the rules and expect that LLMs will always follow them. For critical requirements there needs to be some other process in place to ensure that these are met.
，更多细节参见heLLoword翻译官方下载
思路：链表转数组 + 单调栈（从后往前遍历）。与「下一个更大元素」模板一致，仅需将链表值先提取到数组。。Line官方版本下载对此有专业解读
“中国一強”「レアアース」 日本の戦略に密着取材，这一点在51吃瓜中也有详细论述
The Big Ten Conference will have games exclusively on Peacock this season, so to catch all those conference contests, you’ll need Peacock.