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.
numbers, which do follow various schemes but are nonetheless confusing. Bigger，详情可参考雷电模拟器官方版本下载
I used https://openrouter.ai to test multiple models without having to register to different LLM providers.。heLLoword翻译官方下载是该领域的重要参考
It's not surprising that David and Victoria's children should follow them into the limelight, and Cruz got a taste for performing at a young age.
故乡也变得有点叫人“不认识”了。春节假期回去了一趟，那种熟悉的陌生，让人感慨系之。曾经，一两年回乡一次，观感和记忆中没什么两样。而今，依稀是旧景，却又处处透着不同。假期，景点免票、公交免费，市民游客逛得开心、行得便捷。曾经零落破旧的荒废小园、堆满建筑废料的断头路，摇身一变都成了“口袋公园”。欢声笑语替代了往日沉寂，人们或跑步、或打球，或有三五儿童在玩沙。