Силовые структуры
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.
2026-02-28 00:00:00:0王世俭3014269210http://paper.people.com.cn/rmrb/pc/content/202602/28/content_30142692.htmlhttp://paper.people.com.cn/rmrb/pad/content/202602/28/content_30142692.html11921 从定西“土山”到江津石佛寺（我家门口有文物）。关于这个话题，heLLoword翻译官方下载提供了深入分析
Offer ends March 13.。关于这个话题，91视频提供了深入分析
3月12-15日，上海新国际博览中心，AWE2026见！。关于这个话题，旺商聊官方下载提供了深入分析
但好消息是，政策环境正在松动。