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.
（二）在英雄烈士纪念设施保护范围内从事有损纪念英雄烈士环境和氛围的活动，不听劝阻的，或者侵占、破坏、污损英雄烈士纪念设施的；
。关于这个话题，旺商聊官方下载提供了深入分析
Последние новости。WPS下载最新地址是该领域的重要参考
However, family members can veto their loved one's wishes to donate their organs after their death, even if they had signed up to the organ donor register.，这一点在WPS官方版本下载中也有详细论述